From e0beced2eb373c994ed89a1fbacdf1bc98eeec2b Mon Sep 17 00:00:00 2001 From: Saad Saif Date: Sat, 2 May 2020 11:14:25 +0200 Subject: [PATCH 1/4] update bounding box --- examples/api_request_deckgl.ipynb | 482 ++---------------------- examples/api_request_deckgl_ssaif.ipynb | 338 +++++++++++++++++ 2 files changed, 377 insertions(+), 443 deletions(-) create mode 100644 examples/api_request_deckgl_ssaif.ipynb diff --git a/examples/api_request_deckgl.ipynb b/examples/api_request_deckgl.ipynb index 504d207..a6de395 100644 --- a/examples/api_request_deckgl.ipynb +++ b/examples/api_request_deckgl.ipynb @@ -47,404 +47,13 @@ "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "text/html": [ - "
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\n", 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -501,30 +107,27 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "text/plain": [ - "" - ] + "text/plain": "" }, - "execution_count": 4, "metadata": {}, - "output_type": "execute_result" + "execution_count": 5 }, { + "output_type": "display_data", "data": { - "image/png": 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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -535,30 +138,27 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "text/plain": [ - "" - ] + "text/plain": "" }, - "execution_count": 13, "metadata": {}, - "output_type": "execute_result" + "execution_count": 6 }, { + "output_type": "display_data", "data": { - "image/png": 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\n", 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MJjK8/DP38NixcbeHUlSWubnlYfugkdmzv8jnP2s2Y19KxN+OZRua+8xqNG3CntOTPH1mmq/ce9jtoZDJNvfKXYvusJ/BrrmZPUNTSTxiNHRZjGjQD2irx3ZEpEdEfigiT4vIPhF5roj0isgvRGS/+X2Fk2PQaFqB42MJAH6x5yzj8bSrY8nm84hQaHTezJwzGGV/US7/2akkA9FgVWMP+T14PUJcR/y28w/AfyulzgMuBfYBfw7coZTaDtxh/q7RtDXHTOFP5/L8++MnXR1LJqeaPtq32DrQyaHhGEoZdynG4q3FbR4wKn12Bn3a47cTEekCXgB8FUAplVZKTQA3AreaL7sVeJ1TY9BoWoVjYzNs7Itw8dpuvvfw8YKQuUEml2/6VE6LrSs7iadzhcJsZ6eSrKxi8ZZFZ9Cn8/htZgswDHxdRB4Tka+ISAcwqJQ6DWB+X1lqYxF5j4jsEpFdw8PDDg5To3GfY2MJNvRGeNOOdTx9ZpqDw3HXxpLN5Zs+ldNia38HAAeHDbtnaLq6xVsW7Vqa2cmz6wOuAL6glLociLMEW0cp9SWl1A6l1I6BgQGnxqjRNAXHxxKs741wkdk16uioe8KfbiWrx0zpPDgcYzKRYSyeZu2KcNXba6vHfk4AJ5RSO83ff4hxITgrIqsBzO9DDo5Bo2l6ppOGYG3ojbC2xxCtUyXKDTeKbC7f9Dn8FiujQTqDPg4Nx3n0uJEKe9n6nqq37wi2Z/tFx4RfKXUGOC4i55oP3QDsBW4H3mk+9k7gNqfGoNG0AsfHDJHf0BuhvzOI3yucnEi6Np5svnUifhFh60AHB4djPHZ0HI/ApeuqF/7OkK8t8/h9Du//D4FviUgAOAT8FsbF5vsi8m7gGPBGh8fQVsykc3g9QqDJC2xpZrEyejb0RvB4hFXdIVcj/nQu37RtF0uxZaCTnYdGUQrOW9VFR7B6WYu2acTvqPArpR4HdpR46gYn/2478+YvP0hfR4Cvvus5bg9FUyVWDv/63ggAa7rDnJ502epp4pLM89k60MGPHzvJxEyG11+xdknbao9f05KcmUxy1zPGNEkslWX3iQnueHqIX+/XmVCtwrGxBN1hP91hYyXp2p4wp1y0ejI5hb+Jm7DMZ+uAMcGbSOe4YsPS1oN2hnwk0jlyJXr3Lme08Lc4X/n1IX77Xx5mIpHmyROTKAUBr4e/+enTbfdmblWsVE6LNT1hzkwlC1UyG00ml2/qJizzsTJ7gKULf5sWamuds6spybGxBHkFDx4aY/eJCQD+8lXns+/0FLe5vAJUM5dMLs9EYmE5huMlhD+XVwyZBccaTSaXJ9Aik7sAG/sieAR6OwJs7IssvkERUbNQW7uVbWids6spyfFxwwu+/+AIu49PsLEvwtuv2ch5q6J84a6Drq4A1czls3fs5/m33MmJ8UThsXQ2z4nxGdb1zuaer+4xVp66NcGbzamWmtwN+rxsHejkqk29iCxt3J1WoTYt/JpWwhKR+w+Osvv4BJeu68HjEX73+VvYPxTjrme1198s/HLfENOpLH/x46cKF+RHjo6TzuW5ssiiKOTyT7rj82fyqmVW7lp87V3P4RO/edGSt2vX9outdXY1c5hMZJhOZlnVFeLAUIxTk0kuNRevvObSNQx2BfnS3Ye49f4jvOEL9zPsknWggeHpFPtOT3HuYJR7nh3mh4+cAODuZ4fxeYTnbesvvHZ1t7sRfyabJ9BCET8YGVF9VZRino/2+DUtx3Ez2r/pynWFxy5dZyz5D/g8vOt5m3ng0CgfvX0Pjxwd586n9SJpt7j/4AgAt9x0CTs2ruCW/36GZCbHPc8Oc+XGFQUBAoiG/HSFfO5ZPfnWmtyth2ibtl9c1md356FRfrn3rNvDcIwTpr//0gsH6Q778XqEC9d0F55/6zUbeOXFq/j7N11KX0eABw+NujXUtufX+0foifi5eG03H3rpuYzEUnzhroPsPT3FC89dWItqTU/YvYg/p/C3yQLA2Yi/vQq1Ob1y11X++Z5DHB9L8OILBt0eCgCTMxk+ettTXLq+h9+6dnNN+1BK8bM9Z3jx+YMFf39jbwcvvWCQ4+MJwgFv4bVdIT//9NYrAbhj3xAPHBpFKbXkCTBNfSiluO/ACM/b2ofXI1yzpZfL1vfw2V/tB+AF20sLv1tlG1qpLHO9aI9/GXLJum4ODMdc9e++v+s4l3/853zkR09y0xfu598fP8W3dh6reX+PHpvgvd98lNt3n+LE+AzRoI+usI+/ff3FfOPdV5fd7pqtfZyeTBbKA2gax8HhOKcnk1y3zRB4EeF9129FKaNF4AWruxZss6bHvbIN2RaqzlkvnQEfIjBlg/BPzmQKq7CbnWV9di9d14NSsOfkpGtjuPuZYZKZPD9+7ARD0ylecsEgB4ZiTM7Udmt5xsz0uOuZYY6PJVjXG0FE8Hk9FT+sz93SC6DtHhf4+d4zADx/++wE7kvOH+Titd286uJVeEpE16u7w0zOZJhJ5xo2TotMi9XqqQePx+jCNVXj57GYD373MW74+7tbwl5e1sJ/sTnR+cQJ94R/7+kpXnjOALv+6iU8+JEbeNfzNgGw+/hETfsbnjaE/9f7hzk6lmBdlbXHtw500t8Z5IGDWvgbST6v+O5Dx7lqc2+hFg8YgvPv77+Wj732wpLb9USM/PJaA4R6yOTybRPxg2GJ1mv1HB9LcJeZofV733yEn+85Y9PonGFZn93+ziBre8KFFa2NJp7KcmQ0zgVruugM+ggHvFyyrhsReOxYjcIfM1IyxxMZDgzFqhZ+EcNbfuDQqGulANqR+w6OcGwswVuv3rDgOa9Hys63WHV73BF+1TL1+O0gGvIxlazvOH/noWMIcNv7r2VtT5h/feBoydcdGIrxjq89xLWf/BVv+ucHXFtguayFHwyf362I/+kz0ygF5xd5uNGQn3NWRnnMbBqxVIamUkSDhi8JsH5F9UvUX3HRas5OpfiT7+/W4t8gvr3zGCsifl5+0aolbeem8GfzrdN60Q6MiL/245zJ5fn+rhO86LyVbB+MsmWgo+yF5I59Z7nn2WH6o0EeOjxW6MXQaJb92b1kXQ/HxhKMxxfWSHGavaenALhgzdzJu8s39PDYsYmarvbDsRQb+yNcYjabqDbiB3jVJav58MvP4/bdp/jQD3brcg4OMzyd4hd7z3LTlesI+ryLb1CEW8KvlDIj/mUvDQW6wj6mZmq3eu7Yd5aRWIq3mHd1XSF/2TmDkViKkN/Dp266BIAHD7tjvS77s2staHrChQnevaem6A77WWOuxLS4fEMPkzMZDo8sva/q8HSKldEQLzzHyBBZt4SIH+B912/lz152Lrc9fop/uuvgkv++pnoePDRKNq94zaVrlrytW8KfNSu6tks6Jxh34dN15PHvPTWFCLzwnJWAeSEpM2cwEkvT3xlk+8pOV9fWLHvhv8gS/honU+th3+kpzl8dXeDjXm7WZanF5x+eTjHQGeRt12zgj198Duetii55H79//VZed9ka/u7nz+jVvA7y1MlJAl4P561amK65GK4Jf84Q/vayemYj/ngqu+TPxFQyS2fQh9e8WFoRf6k76pFYioFoEBHhqs297Dw0Vv8/UAPL/ux2hfxs7u9gz6mphv7dXF7x9JkpLljdveC5bQOdBH0enj6ztDHl8orReJqBaJCV0RAfePH2kqmAiyEifPINl7Cpr4Mv3q2jfqd44sQk562O1tQGMxpyR/jT5txPe03uGh6/Uorbd5/it/7lYR49Vv0c3HQyS5d5vgC6wn6yecVMZmEq7vB0in6zptA1W/o4OTHjSu7/shd+MFqzHRqJNfRvHh6Jk8zkF/j7YKTy9XcGGY0tbd5hLJ4ml1es7Fp6Mar5hPxeLl7bzZkp9zo9LWfyecVTpya5eO3CC381eD1iZJs0POK3hL8tpAEwsnryCuLpHGfNz8Ntj1Xfy2I6mSnU/LH2B5ScNxiJzQr/1ebamp2HGx/1t8XZ3TrQyZHRREM7Uu05ZcwpnL+6tBXT3xlgdIkTzlZ1zYEaqhCWYrAryJnJZNtP8qayRrE0Ozk6lmA6ma1Z+KHyJKFTZEyrp52Ev8u01aaTmUIw9pMnTpOpMvNtOpmdI/xW9D8/syeXV4zF0wx0BgA4Z2WUFRG/Kz5/W5zdLQMdpLN5To43LnXq4SNjdAZ9nDtYWvh7OwKMxpdWJtnK4R+I2iX8IVLZfF0ZDcuB7+w8xju+9hCP2zgP9KSZTHBRHcLfHfY33OqxxK5dVu7C3Ajd+kyOxtPce2Ckqu1jqeyc6qrWhWT+RXssniavoN/8/Ho8wiXrepZs+dpBWwi/1Yz54HDj7J6HDo9x5cYVZSfJ+mqweqyIf2U0tMgrq2Owy9jP2en2tnvufMaI9u/Yt/Sl9j985AR/+J3HSGfnRodPnpgg4PNwTpkLfzW4IfyFrJ42En4rQp9OZhiZTnPFhh66Qr6q7R7D6iny+K0LybyI3/r89hfdsfd1BBiPN36tRlsI/5YGC/9YPM2zZ2Nctbm37Gv6TKtnKTbLkCnQ/dFA3WMEWGWmmZ5xqdNTM5DM5Aq32nfsW3qG01fvPcx/7D7Fx3+yZ87jT56c5PxVtU3sWrgZ8beT1RMtEuqReIrVPWFeftEq7tg3VNXnc4HVU7CO5t5Jj5S4Y++ONP4cwxKEX0TWisjzROQF1peTA7OT3o4AKyJ+Dg4vPW++Fh4+YkzWXF1J+DsCpLP5JVUOHZ5O0Rn0EQnYU0170LxzONsiE7wPHR7jr3+yt2rvtRp2Hh4jlc3z3C197D09xenJ6u3A05Mz7Ds9xca+CN988BjfeciouprLK546OVWoFVUrrlo9bdKIBeYK9WgsTX9HgHMGo0ynslUd/+lktlDeGYo8/nnbWsJfHPGviASIpbIL7hidpqqzKyK3APcBfwX8mfn1pw6Oy3a2DHRyqEER/0OHxwj6PBU/+H0dxskfW8IEr7F4yx5/HyhkB7WC8J+amOE939jFV+49zKd+9oxt+737mWGCPg9/+arzAfjVEnK473zasIi++LYrecE5A/zv257ikaNjfOpnzxBLZXl+iTr7S8GNaNCa3A342sfqsaL10ViayZkMfZ1B1lh9jxfpiZDK5kjn8nPSOWfvIEpH/P2ds3fsK8xifBMzja0sUO1l/XXAuUqpVyqlXmN+vdbJgdnNlv4ODtWwUrYWHjo8xuUbeiou0+81T/5IFT7/vftHODoaN3KAbRT+kN9LT8TP2anm7sWbyeX5g28/Siab5xUXreJL9xyyrfTt3c8OcfWWPi5c08WG3gi/WsTuyecV+89Oo5TiV08PsbYnzHmronzu5stZ0xPmXV9/mC/efZC3XL2Bl124tPo88+kO+0ll8yRL5IM7RbYdI35TtI+OGvrQ1xmouu+xZecUWz0hv5egz7Mg4h+eThH0eeZMBPdEDB2YTDT2Al/t2T0E+Bd9VROzdWUnw9OpuqvwLcZ0MsOeU5Nctbmv4uv6zYh/NFZZdO8/MMLbv7aTt3x5J8fGErZl9Fis6go1fS7/f+w+xaPHJvib11/Mp//HZZy3Ksr/+dnTde/3+FiCg8NxXnjOACLC9ecOcN/BkYq+7oOHRnnJp+/hf9+2h/sOjPCi81YiInRH/Hz5HTvI5xU7Nq7gY68pXW55KZTLDnGSdkznDPm9BLweDo8aC6n6OoyqvsCi1l8p4Qfj3M3XGqtcQ/FKfqv89niDhb+iWSwinwMUkAAeF5E7gIJSKaX+yNnh2ceW/g4ADg3HuWx9j2N/59mzMfJqtkZQOfrMiL+S1TMSS/GB7z3O2p4wZyaTZPPKthx+i5VdIYaaXPjvemaY/s4gr710DSLCtdv6C356Pfy7mbXxUrM158a+DpKZPFPJbKFkwnysi+Q3HjTK7r7ovJWF584ZjHLnn11Pd9hf16SuRXHZhpVd9mRyLUamDVfugiHch81Fnv2dAfo7g/i9wqlFEh+sqp6dwbnvl+IyEBYjsYV37CvMiH880VirZ7FZwl3m90eA2x0ei6NsXWlm9gzFHBV+K4JfLOWyt8M44ZUWcX3iP/cxOZPhtvdfy737R/jET/cVUjDtYlVXkGdcyCOulnxece+BEa43o3IwFp4l0iIaUZwAACAASURBVLkF+dNLQSnFDx89wTVbZhukWN7raCxVVvgnzMjsfddv5aHDYzx369w7O7tSbcGdej3ZvJXH3z4RPxgR+pGC1RPE4xEGu0KcXsTqiS0h4h+eTi2opmtF/BNNJvzXAv8F/FIpNd2A8TjGBvPDfcLhRVxWBN/bWTnlMuT30hn0FSZ8SvHI0XFecsEg56/u4tzBKJ0h35wI0w4Gu0IMT6fI5VWhyFQzsff0FGPxNM8/Z7ZtYWH9wVSSTjNVd6k8fGSco6MJ/uhF2wuPWRPuo/E0W8rMy07OZBCBP33puY4fLzeEP51tvzx+MITbcvisAGBNd3jRiH+qjPBHQ34m54n5SCzN5RvmBp2Wxz/RZB7/14BLgZ+KyB0i8mERubQB47Idv9dDJOB13OO3Ivi+jsVz7Xs7AmWtnnQ2z4nxRMGi8niEN1+1wfaIf7ArRF5R8QLkJvfsNzJnrt02K/zWPEc92Ug/2HWcjoCXV1w8OwHbVxTxl2NyJkO0qBKjk7gZ8beTxw+zE7yBosnX1T2hKjz+zJztZ/c3tzSzUa4hNSeVE6Aj4MXvlYZ7/BXPrlLqQaXUx5RSzwfeBBwDPiQij4vI10TkTQ0ZpU3U22mnGkZiRq59yL94442+zkDZ1bvHxxPkFWzq67B7iHMojp6bBaUUX7jrIHc+M8Q9zw5z/uquORaKNeahGrORMrk8P33yNK+8ePWcNRHWxbpSptVEIl2I0pzGFeFvw8ldmI3Y+zsCBUtxjTm3lq9Q48ua3J1vOXaF59ZZKpRrmCf8IkJPJNB0Vk8BpdQo8B3zCxG5Eni5Q+NyhGjIV3dT5cUYjaULkeNi9HUEOTFeuiTrETP1dFO/s8K/qmt29e4l6xz9U1Xz8JFxbvnv2ayd33vBljnP13uxmkhkiKdzXDJvAn6FNe9SQfgnZzJl/X+7sZb+N9TqKaRztpfVY0XsfUXCvKY7RCanGImlyk6uWwswO+d7/CHD41dKISIlF29ZrIj4G271VCX8ItIDvAPYVLxNK2X1gD1NlRdjNJ6qyuYBI8J8okwjeKs712aHhX/QWsQ13TxWz3cfOkY06OO912/luw8fW9DByli97GWoxjHHzQ9rx7woze/10BPxVyyeNzGTKUzIOY3Pa9gOjSyi1+4Rf3HQtrrbXMQ1mSwr/NPJDGG/d8Hx6gr7yOQUqWyekN9bVKdnoTb0hANNl9Vj8VPgQeBJoGW7dEdDfscP8GgsXXU7xL5Ow+PP59WChipHRuN0hXyFlX1O0dcZxOsRzjZJvZ7JmQz/+eRpbrpyHe//jW28/ze2lXzdYFdo0Yg/nc2XTKssRGklMoL6Osrbb9b4rFWdjaDRZRvaNZ3TWjNhTfCD4fEDnJ6YKZsJOL9OT2F/RWUbQv7ZIKXUHF1PxM/R0cY2Y6n2sh5SSv2JUurrSqlbrS9HR+YAXWG/81ZPPF3yql6K3o4A2bwqeRdyZCTB5v6OBW0b7cbrEfo6Ak0zuXvb4ydJZfO8+aoNFV+3Mhqs6PF/7+FjXPnXvyjpnVYU/s5gxWMxmcjQ0yCrB4z3rBvC327pnAWPv+izu6Yo4i/H/Do9FoXFd+Zn2wpSSjVRWhEJNG3Jhm+IyO+KyGoR6bW+HB2ZAxgev3MforzZaKFaj9/y+0rl8h8eiTvu71u4UQysHD/YdYKL1nYtWsd+sCtUtpy0Uoqv/Pow08ksdz6zsASDlXtd6gNbqUGOUqqhHj9Ad7ixXbgKtXraTviNc1rswfdE/IT93oplG6ZT2TklmS1m52eM99rQVJJoqHSBxZ6In/FE6R69TlHt2U0DnwIewFjM9Qizi7sqIiJeEXlMRH5i/r5ZRHaKyH4R+Z6INCZFAtPjd9AvnZzJkMurObeLlegtM5mYzOQ4NTnjeEaPRY8Lk0ulmExkePLkJC+7YPEaN1bEX+rDsuvoOPuHjFWYv9y7UPjj6dIePxi3+uXSOePpHNm8apjHD42/KGfbsBELzAp1cdAmIoumdE4nM4Vt5+xvXsQ/NJ0qm4rdEzEq9Zbq0esU1Qr/nwDblFKblFKbza8ti25l8AFgX9HvtwCfVkptB8aBd1c/3ProCvlJ55wrelXI4a82q6dQtmGu0BwfS6CU8xO7Ft3hQFNE/FaD6ys3rVj0tYNdIWYyOaZLlLX+9s5jdAZ9vPbSNdz97PCCkreF+iolrZ4A44lMQQCLsY5RIyN+KzukUWTM1MV2y+qxSilYPSosVneHOL2Y1VPifTS/NPPZqWTZyrorXKjXU63w78Go17MkRGQd8CrgK+bvArwI+KH5klsxKn82BOvK7JTPb0WK1Ub85VbtHW5QKufsOJrD6tl1dAyvR6oqqWF5pfPrDE0k0vznk6d53eVreO2la4ilsuw8PLenabmsHpjN5R8rMTdgzRd0hxt2k0ok4CWRblwkmMnl8XvF8bmlZuPy9T18891X89wtc0twdAZ9zFQ4/vMbrVt0heeWZj47VTnih8aWbahW+HMYRdr+WUQ+a31Vsd1ngP/JbCZQHzChlLKU9wSwttSGIvIeEdklIruGh+1phB0tarHmBEuN+CPmIq/5H2yrZsjmBlk93WF/wxeQlOKRo+NcuKarqkYzs7n8c++WHj4yTjqb58bL1nLttn6CPs+CzlqxVBYRQ1TnY+Vxl8rssUrnNjLijywiPHaTzeXbqiSzhYhw3fb+BRe8gM9LqkKTlFiynMc/G/ErpYxeGiUmdqG4Xk/zRfz3AZ8A7mfW499faQMReTUwpJR6pPjhEi8tOaOhlPqSUmqHUmrHwEB9DS0syjVIsItCxF+l8IdN4Znv7R0bS9Ad9tPdIC+5J+wnns7Z2tmqFGcmk+TKrILM5PI8fnyCKzYsbvMAhdvm+Smd1u8beiOEA16u29a/YII3lsrSGfCVjGr7Kizisu6KGunxR/xe0rm84+fGIpNTbZfKWYmgz1O2O1Yur4incyUj/pDfS8DnYXImw0QiQzqXL3S8m48bFTqrFf63AI8WpXGmgbctss21wGtF5AjwXQyL5zNAj4hYR2odcGrJo66R2RZrzkb8vVUu6Q/6PHg9QiI990I0GkvbXne/EpaQOWn37Ds9xXW3/IqfPFH6dO89NUUyk2dHFf4+UFhQM38R19BUEo/MCviFa7s5NpaY8+GNlUnBg6KIv8QirgkXPP6IaUc1yu4xrJ72i/jLEfR5SGVLH/tYmXINFht6Ixwajheyz8pZPSuaOOK/CbhVRM4Xkd8Ffh94aaUNlFIfUUqtU0ptAm4GfqWUeitwp7k/gHcCt9U08hqIOu7xp1kR8VedAy0iRPxe4qm5b6yxeLqQ8dMIrAuik2+8z/zyWbJ5xZGR0lNFu44aE7s7NlaXJdwZ9NEZ9JWI+I1CWNY5WLcijFJzG8rH09mS/j4Ul2Zukog/YNmBjVm9m80pLfxFBHyeslbPVJkCbRbnr+5i3+mpwnqTclZPtwulmatauauUOiQiNwP/DhwHXqqUqrW+8YeB74rIXwOPAV+tcT9LJlqmCbJdjMZTSxbscMC7wMMdT6TZ0l9bueFaKLR/c2gRyVMnJ/nZHqNV4nBsrlB//+Hj/O1/7SOezrG2J7wgq6ISpRZxnZ1Ozoms1pmrbE9MJNjQZ6yoLpeJAcaH2OeR0hF/IoPfK4SrKMBnF7PC37iIv91SOSsRrODxl+u+ZXHB6i7+Y/cpnj1rVLQvZ/UEfV4iAW9Ds3oW68D1JHM9+F7AC+wUEZRSl1TzR5RSdwF3mT8fAq6qZbD14nRWz0gsPafIUzVEAl4SmYUR/5UbGxfx9zgc8X/ml/vpCvnoCvsLNUss7nj6LB4R3vyc9UtuTt7XGVgg0GenUqztmf2ArTUbX5ws6sMQr9DAxeMResuUbTAWbwUamvFiTXQ3aoI3k9cRfzEB0+O3iq0VY60ALzW5C3D+6igAdz9rJKeUi/jB+Aw20upZLOJ/dUNG0SA6Aj5EnPP4x+JpzhlcWqQeDviYKbqNz+cV44kMvR2NsxOc9vjvPTDMm3as59BwfIHwHxyOs2PTCv6/Gy9a8n67w4EF1U2HppJzml2s7g4jAieLVl/GUtmKnbKMsg2lhD9Nd7i2jl+1YkX88RLrFZwgk83ryd0igmatp3QuT9A3906v0HaxXMS/pguAnYfH6A77K5Zqj4b8xFJN4vErpY5W+mrUIO3C4xGj2qGDWT3V5vBbzM/Tnk5myeVVYaa/EXQ7GPHn8opkJk9vR4CBaJDholWxmVyeIyNxttbYRWt+OdtUNsdoPD3nljrg87AyGpwX8efKevxglW1YaPVMzmQaVovfomD1NGhVZzbfnumc5SgIfwm7x/rcdpRICwajDWd/p7Eqt9ziLYvOkK9wB9EI2u4MO7USMpvLm5H60oRhvvBbC4caObkbDfkRmc1asROrPEJn0GcI//RsmYVjYwmyeVW78HfMLWc7XKiAOPdDtrYnPCfiL7foprDfSOnOaBOJxtbpgVmrJ5FqjPCncwq/DY3ilwuW8Jfy+a0KAJUi+fNXG1H/Yp3zOoO+QpZQI2i7M+xUMxbrar1UYQj7507uFnr2NlD4vR4xLogOCL8lWJGAj4HOIMlMvnCsDpr1dLaurE34eyJ+Utl84fhZi7nmf8jWrogUei0rZeRedwTLf1jLrWSenGlsZU5wI6snj7/NyjVUIlAh4rcuBsEKF0rL7qnk74MR8ZcqP+IUbSf8TrVfLNeCbTGMyd3ZE+6G8INVqM3+rJ7ZgmjewtoEKzI/OGysUN4yUNsK5R6zdIJV0naoTOnbtT1hTk/OkDdtp1xe0RksL+A9ZmG0+S33JhOZQupro2h0Vk82p3RWTxGWr18q4p8V/vJBxAVVRvxRHfE7i1MRf8HSqGAhlMKY3J39UI+bwt9Ijx/Msg1OR/wLhD/GymiwbB70YhSKW8Xn1jxfGPGHyeQUQ9Opolr85T+s3ZEASs3N/srm8kynsg3N4Yciq6dBwp/WC7jmUDniN85J0F8h4jeFf1U1Vo+O+J2jK+yMx1+p8FclmsHjB6tej/3HJZYqEfHHZoW/Vn8fFha3Ojudwu+VBSunrVz+kxOJsj1SiylMdheta7ASAhrt8Yf8HkSYk/nlJNm8Fv5iZj3+hRfeZGZxq2fbyk4+ddMl3HjZmrKvAeP9mEjnypY0sZu2O8POefzGG6NSJFmKjoCXmUyuMOE5Hk8T8HlKFhBzkp5IwBmP37J6TI8fKEzwHhyKsXVl7YXoeuaVszVK34YWtLG0cvlPjM/MXqArFIKzfPxin9/6uda7k1oprO5uVB5/VtfqKWaxiD/g81Rc1yEivHHH+kWzwSyLuFFRf9sKv93dbmqN+MMBH0rNRg9j8TR9HY1dJARGpydnsnrMlLegl+6wH79XGJ5OMRJLM5XM1hXxW3bYrMdfugLi2kLEPzM7F1Mh4i9VLTFexZ2CU4QDvsat3M3n267tYiUqevyZfMVofylYWWZa+B0iGvKTyyvbu91YEzOVIslSzM/aGIunG+7vgzFROpFIL5jQrBdLMCMBHx6P0NdhpHQeHDYyerbVmNEDCwX67FSy5LL4jqCPnoifk0URf6VJ+MJ+iy6EsznbjRf+jqC3sbV6dFZPgcWyeiqlci4FK9mgURO8bSf8s3Wy7T3As8u3lxrxz83aGEs0tkCbRU/ET15BzGaBmX8nZC3i2ntqCqCuiD/k9xL2ewsT4menkgty+C3W9oQ5MT5TsdG6hdVoZbIoy8mavI8s0cqzg7C/cc1YdHXOuVTy+FOZnG0Rf2ch4m/M6t22O8OzFTrtPcD1TO7CbE3+8XiaFS4IvzVpOWnzBK8lWNb/aS3i+vneM2xb2cka04apFatR9Uw6x1QyWyjXPJ8tA50cGIpVKfzlrR53Iv7GNWPJ5JS2eooIVFjAlcraZ/VY70en6ojNp+3OsFPNWGLpLAGfZ8nR0vxaLGPxNL0NThmEIuG32eePzzsuA51Bjo4meOjwGK+8aPGm6ovREwkwOZPmlNkQu1za3AWruzg5MVNYwVvJq7cm1+dYPanZuYpGEwl4C3ccTpPJ5Qnoyd0ClVbuprK5ijn8S0F7/A7jVDOWShUfKxH2z1ZfzOTyTCWzrkT85fr/1ks8lZ1Ty2QgGiSWypJX8PKLVte9/xVmxL/YKmBrBeWuI2N4hEVLK1uLuCziafci/vmru50km9OTu8UsFvGHKuTwL4VCVk8yy3g8zWs/fy/7zXLOTtB2ZzjqUNpULJmtKRosXplpiW6fSx4/zM1dt4PEvIJoVi7/pr5IoWxtPayIGPV6DpiTxeVWAVsLaXYfn6QjWLrtYjHdkcCci2DBsnIh4u8I+hoS8efzikQm1/BU4mbGiuhLTe4mM/ZF/J1FEf++M1M8cWKS23c715yw7YR//mSqXcRSuZqiweLqi1a5Bjc9ftsj/nR2znGxhP8VF6+2JWW126zQeXAozmBX+VXAA9EgA9Eg6Vy+qjszI+IvmtxNZfF5hIAL0XCpZj1OEE9nUWrpCQrLmYqTu9l8xVW7S8H6jEwns4WV7b/eP2LLvkvRdsLvVGOLeCpb0wem0HA9nZ2t0+NCOqc1drvrvifSuTlR8kVrulnbE+YNV6y1Zf8rzBpDB4amF80QsqL+aoR//krmRNqIhBu9vgKMRX7z23M6wWxHqcbPMTUr1oW+ZDqnjXn8Xo/QEfASS80K/xMnJmxPtrBoO+G3vF27I/5KfVwrUVyLxSox7EbEH/J5EcH2FaKxeXMfG/oi3PfnL2LbyvptHjCsnryCfaenF10TcKHp81dznnoic2sXzf8/Gkk44GMmk7N9jcV8ak1JXs54PILfK2Und+3K4wezJn8yy5Ap/HkFDxwatW3/xbSd8DtV+ySWqlX4Zy9EblXmBOMNHvF7Sdgd8aec9Ywtiyqdyy8e8ZvCX42wdZulma0V3ol0lohLwm8dv2QJu8FOrIQHHfHPJejzlvH47Yv4YbZQ2/B0ilVdIToCXu49MGzb/otpu0u7iDiyICaWzNJZg8cf9HnwiGE9pbJ5RNwRfoBI0Gd7xD/f47eb4lXO1Vo91YynJ2x0Tkpm8oRNq6VcpyWn6Sik/OYKd4hOMFVjafHlTsDnKePx2ze5C9AZ8jOdypKfUazpCdET6eK+Azrit41SDc7rJV5jxC8iRMxaLKcnZlgZDbq2crIjYH9pgPkev92sKOpNvJjVs7Gvg0jAW1XEPz/LKZHOOiq6lQg3qOG65fF3aatnDkGz4fp87FzABVZN/gxD00kGokGu29bP4ZH4gr7SdtCWZ9juLIl83ujqtNTKnHPGk8lyZirJqu76VrLWQyTgs30SsVYLrFqs9QedQV/Zcg0WXo/wuTdfzobeyKL7Lc5yWt0dJp7KsabHHQuksMjP4ZRObfWUxoj4na3VA8Z7eGg6yfB0iqs293LD+SuZsTFltJi2FP6I32drZGvdPdRaudGqyX96Msm2OmrX1IvdxcAyuTzpbN5Rq8cqobx1oKOqjJsbzh9c0n6tzB43I/5GdeGazeppS1koS6mIP5MzOrnZ6vGHfIzFM4wnMqyMhtjY18H7f2Obbfsvpi2tnnDAXo+/1jo9hfGYcw5nJpOs6q7cqcdJIgF7Pf75dXqcoLsg/PZeMLsjVgkLw+qJzVuI1kicSkGeTyyZxSPOnq9WJOjzLoj4C20XbcrjByPiHzGbFFnrXZyiLS/tEZutnmoKfy02Hqst4GoXhb8j6OWUWcvGDgpNWBwUTJ/Xw7uv28yLzltp634tC8kq25BIZ12b3G2k1dNZxarmdiNQIuJPmXf5dtowxXdaVtMip2hb4bdzhWqttfhnx+Nj94kJANcj/ma6E6qW//XqC2zfZ7HVk88rc5LaXaunEZO72t9fSLBEVo8V8dtVqwfmBo6lGgrZSZtaPT5bG7HUbfUEvAV/dbWLk7sdNleBtCaK3YqU6yES8OL3ChMzmcJ7xb2I31xV7XDEP5WsbfX5cqdUxJ90IOIvniN02uppS+GP+O2dxLTD6rFw0+qJBH2F8sN2UGhe4tKkaD2ISKFsw2wTFpci/mCjIv5Mw3sKtwLBElk9BY/f5gVcFv0OWz1tKfy2T+6m6+vHWiz8Tt/iVaIj4CVtZuLYQdzFGvZ2YAh/unAxrDVdt14iDpUZmc+0jvhLEiixcteJyV3r2Pd2BBxfy9OWwm//5G59AmfV5O/vDDqSs1stdmePNGJy10lWRkOFSXdw787F5/UQ8Hkct3piNRYaXO6UjPhNqydkp9Vj9t11emIX2lj4s3llW2Qbq3Opu3XBcNPmKR6HXX13Zz3+1hSTVd0hzkwmXW20bmF3sFKK6WSm5rvW5UypBVxJh9I5oTF3/W0p/HYvgY+nslV1dSo/HmM7NzN6oKhSqE2F2hIuNii3g8GuEEPTyUIDbDf/j4jf2dLMSimd1VOGklk9DqZz6ojfIWabn9gjcLGUUYis1vxny8N1O+K3Ig67FnEVLBIbl7U3klVdQTI5xYlxY22DqxF/0MeMTe/XUiQzebJ5pa2eEpTM43dwctfpjB5od+G3MeKv5xbZirTdj/jN42JbxJ8j5Pe0bA9X63wcGo4D7q5ojTjcjEXX6SmPtXLXKtENxXn89r0nusJ+nrNpBdds6bNtn+Voy8u7ZcnYZvXU2ISlMJ5Ac0T8HTZH/PGUsyWZnWawyzgfB81+vm6WKw75vYXccSeY0pU5y2JF9ZmcIuAz7upn8/jtC2q8HuEH732ebfurRGuGYnVS3PXKDqaT9Qm/dXu9xsXFW1B8J2RfxN+q/j6UiPhd/F9Cfm9hQtEJdPet8pTquztr9bTm+7sthT9ss8DFU9m6cryv3dbP373xUp6zqdeW8dRKIeK3yVKItXjE398ZRAROTsy41mjdIuTzFCYUncCyeqyUQs0sAd/CvrvWRcDOrJ5G4tioRWS9iNwpIvtEZI+IfMB8vFdEfiEi+83vK5waQznsrn1idGeqXeD8Xg83XbkOj8fd4lj2R/zO1uJ3Gr/XU1hB6VajdQunrR5dkrk8sxF/kfBn7J/cbSROjjoLfEgpdT5wDfB+EbkA+HPgDqXUduAO8/eGYvfkrpuNuO2kUBPGpog/7nC/3UawyvT53b6AhfwekhnnrJ7Zyd3Wfx/bTamIP5nNEfB5WraSqWPCr5Q6rZR61Px5GtgHrAVuBG41X3Yr8DqnxlCOgtVjUwRlNOJubYEDY3Ip5PfYFvEnM60v/INNI/xeR5utz0b82uqZj+Xjz4/4WzXahwZ5/CKyCbgc2AkMKqVOg3FxAEoWUheR94jILhHZNTxsb6f52aweGycxW9jLLqYj4LOtNMBMJlfzorZmYVW3YfW4XWG0UVk9y+HO1W6suZ25Hn++ZSd2oQHCLyKdwL8BH1RKTVW7nVLqS0qpHUqpHQMDA7aOyc6snlxekcrmW17gLCJBr20VOmfSucLdVatiWT1uX9hDPsPqKc4lt5NY0mg043V5nqkZsSZw52b15Gytxd9oHB25iPgxRP9bSqkfmQ+fFZHV5vOrgSEnx1AKr0cI+Dy2TO5atdpb3dKwsDvit3OBixvMWj3u/h9B/0K7wU6mkxlt85ShZMSvrZ7SiDHr8VVgn1Lq74ueuh14p/nzO4HbnBpDJSI2lWYu1KNZJsJv13EBw+Nv9TshK5ff9YjfPI5O2T26JHN5Sl10U9lcS1s9Tp7pa4G3A0+KyOPmY38BfBL4voi8GzgGvNHBMZQl4rdH4Ky7hvBy8fiDvkJHsXrI5PJkcqr1hb9pJneNGM2pzJ7pVEYLfxmsiD813+NvYavHsTOtlLoXKGcY3uDU362WcMBrS9Gr2ZK9rS1wFpGAl+HpVN37sSLTVvf4B82I3+3za9V9dyrijyWzdJsN5jVzKenxZ/K21uJvNK17yaoTuxqLJ9LLQ+AsOgK+wvL9erDmPlrd448GffzGuQPscHlVdcHqcSilM5bKEtUZPSUp5fEnszkd8bcidrVftKwetz1gu4gE7TkuybTxIWl1q0dE+PpvXeX2MBy3epZDBpZTzEb8enK35bGro9Fym9y1y+OfWSZWT7Pg9ORuPJ1z3c5qVkou4Grxyd22Fn47VqguN4HrCPhIZfNkc/VFloXj0uIRf7MwG/E7I/zG6vPlcddqN8FSJRsyeZ3H34qE/T6bIv7llccfsamchXVsW93jbxaChcld+62edNbIwNIRf2lms3rmLuDSEX8LEgl4banVEy+0F1we0ZKVtljv6t3lktXTLIQKueT2R/zLLSXZbjwewe+VEiUbWlc+W3fkdWLXQqWZZZbVY0X89a7e1VaPvVjvLyesHutc64i/PFb7RYtWz+Nv3ZHXSTjgJZ3Nk8vXV/skkckZTTpa+OpfjNVXoN6Iv3BB1MJvCyGfc1k9hQQF7fGXpbjheiZn6IbO429B7Go6stzS4Kzy0vXm8hfy+ANt+xazFSezeqz+CzriL0/Q5ynYbIW2izribz0sP7PeCd5EOrtsJnYBombrvXqFP6mtHluZFX4nIv7lZVc6QdA32wgnVWi03rrHq22FP+K3pwvXcqrFD9AdNoR/aiZT1350Vo+9eM0JRidW7iYKHv/yeR/bTTTkLwRDs43WW1c+W3fkddJhl6WRbv0uU8V0hY0P/2S9wp/J4fcKfhcblC83Qj5nmrHErXpTy6CLnFNEQ75CMJRcBuVI2vZT2R02ClLVG9kmlpnwWzXZp5L1C38rfzCakaDf64zVY6Uk64i/LF0hf6E95WwdqtaVz9YdeZ2s6DAEbqJe4c/kllX+s9cjRIO+uiP+5VCLv9kI+T0Ff9lOltsiRCeIhnyFYMj6bHSFW7dxTdsKf48Z8U8k6vWys4X5guVCV9jP1IzOdmo2nGq4PltvavkEMHbTFZ6N+CdNzejWwt969ESsiD9d136Wm9UDxpvcDo9fR/z2EvJ7HLF64mljPma5rEVxgmjIKFeey6vCZ6OnhfsXtO2ZIYl/+wAACmdJREFUDvm9BH0eGyL+5RfZdhXd1tbKTCavPX6bcWpyN5HK6mh/EbrMua9YMlsQfh3xtyg9ET8TCR3xz6c77K970juZ1hG/3YT8Dgn/MnwP243VlnIqmWFyJoPXIy294K2thX9FJFBXxJ/PK8PSWGbRUpcNwm8cl9b9YDQjTlk9WvgXx5rItYS/O+xHpFxn2eanrYW/O+yvK6vHSutabh+abu3xNyVBhyZ34+ms683km51CxD+TLQh/K9PWwt8T8Rdm6GthuabBdYX8xNO5upqxzKR1Hr/dhHxeUjridwXL4582I/5WTuWEdhf+cKCurJ7lWoGyO2z5mbWndCYzOcK6QJutGFaPM+mcenK3Ml2FhY1ZpnTE39r0RPyMJzIoVVtp5kRmeeY/d9lQr0dbPfbj2ORuSkf8i2GVMpmayWirp9XpjvhJZ/M1T5gVrJ5lVuOkO1xf2QallBZ+Bwj5PSSzTuTxZ3WBtkXoNOdAppOWx9/ax6uthX+FuQCjVrvHsnqW48pdqL1QWyqbRykI6SjSVkI+L7m8IlPH3EspEuncsgte7Mbn9dAR8DI5k2EqmdURfyvTY568WlM6Zyd3W/vqP5+Cn1lj2QZdi98ZnGjGopTSk7tVEg35OTM1Qy6vCiVfWpW2Fv7uSL3CbwjjcstX764z4tf9dp3BqgY5Y6Pwp8z2o8steHGCrrCPE+MzQGuv2oU2F37rqj1Zr9WzzIS/MJFVo8e/3BrQNwtB80JqZ0qnddfayqtQG0U05Of4WAJo7cqc0O7Cb0b843VbPcvrQxP2e/F7pe6IX+fx20vYAatHN1qvnq6Qr6AVOuJvYQqTuzUKf8HSWGbCLyJ0hWov26A9fmdwou/ubMSvhX8xrCZFoIW/pQn5PQR8npqzehLpLF6PEFiG7QXrKdswkzaEabldEN3G8vjtLNsQL3Tf0udqMbqKUjit+cFWZfkp1hIQEXrCtZdtSKRzRPzeli7WVI5o2F/zyl09uesMTmT1LFe70gl0xL+MMEoz1z6JuVyj2roifu3xO0LI56DVoz3+RbHSnFu9JDNo4a+rXs9yzn/uCvmYrtXj11k9jlCwepyY3NXnalGsCp2tXpIZtPDXFfEn0tllV4vfojvsrz2dU1s9juCE1RNPLc9FiE5gpXD2tLjNA1r4axZ+pRQHhmIMRIMOjMp9rL67tRSw08LvDMHC5K6dVo+VzqnP1WJYEX+r5/CDFn56IrVZPQ8cHOXIaILXXbbGgVG5T1fITyanavKTrQVcQd2821ZChQVcDkzu6ov0olgef6tP7IJLwi8iLxeRZ0TkgIj8uRtjsNjYFyGZyfPTJ08vabtvPXSM7rCfV1682qGRuUtfp7HGYefh0SVvm8zkCPk9eDyt7YM2G7OTuzZaPeksQZ8H3zJMSbabriKPv9Vp+NkWES/wj8ArgAuAN4vIBY0eh8WbdqznknXd/MWPn+TMZLKqbUZiKX6+5wxvuGLdss1cedXFq9m+spM//t7jnBhPLGlbXZLZGfxewSM2Z/XoWvxVY1k8y0H43ZjRuQo4oJQ6BCAi3wVuBPa6MBb8Xg+f+R+X8arP3surP3cvK6pYmBFPZcnkFG+5en0DRugOHUEf//z2K7nx8/fx2s/fR19H9dUIz04ldXqgA4gIIb+Xb+48ys/2nLFln2emkgULQ1OZ6DKK+N34dK4Fjhf9fgK4ev6LROQ9wHsANmzY4OiAtgx08k9vu4If7Dq++ItN3ryqi20row6Oyn22DHTylXfu4F8fPLqkSd7tg51cvbnPwZG1L3/4ou08eXLCtv1tH+zkuVv0uaqGSMDHh19+Hi8+f6XbQ6kbqbXtYM1/UOSNwMuUUr9j/v524Cql1B+W22bHjh1q165djRqiRqPRLAtE5BGl1I75j7sxo3MCKPZI1gGnXBiHRqPRtCVuCP/DwHYR2SwiAeBm4HYXxqHRaDRtScM9fqVUVkT+APgZ4AW+ppTa0+hxaDQaTbviSuqFUuqnwE/d+NsajUbT7uhVGxqNRtNmaOHXaDSaNkMLv0aj0bQZWvg1Go2mzWj4Aq5aEJFh4GiNm/cDIzYOp1HocTeWVh03tO7Y9bidZ6NSamD+gy0h/PUgIrtKrVxrdvS4G0urjhtad+x63O6hrR6NRqNpM7TwazQaTZvRDsL/JbcHUCN63I2lVccNrTt2PW6XWPYev0aj0Wjm0g4Rv0aj0WiK0MKv0Wg0bcayFv5maupeCRFZLyJ3isg+EdkjIh8wH/+YiJwUkcfNr1e6Pdb5iMgREXnSHN8u87FeEfmFiOw3v69we5zFiMi5Rcf0cRGZEpEPNuPxFpGviciQiDxV9FjJ4ysGnzXf70+IyBVNNu5PicjT5th+LCI95uObRGSm6Lh/scnGXfZ9ISIfMY/3MyLyMndGXQNKqWX5hVHy+SCwBQgAu4EL3B5XmbGuBq4wf44Cz2I0ov8Y8Kduj2+RsR8B+uc99n+APzd//nPgFrfHucj75AywsRmPN/AC4ArgqcWOL/BK4L8AAa4BdjbZuF8K+Myfbyka96bi1zXh8S75vjA/o7uBILDZ1Buv2/9DNV/LOeIvNHVXSqUBq6l706GUOq2UetT8eRrYh9GbuFW5EbjV/PlW4HUujmUxbgAOKqVqXRnuKEqpe4CxeQ+XO743Av+qDB4EekRkdWNGOpdS41ZK/VwplTV/fRCj+15TUeZ4l+NG4LtKqZRS6jBwAEN3mp7lLPylmro3vZiKyCbgcmCn+dAfmLfGX2s2y8REAT8XkUdE5D3mY4NKqdNgXNSAZu5OfTPwnaLfm/14Q/nj20rv+d/GuDux2Cwij4nI3SLyfLcGVYFS74tWOt5zWM7CLyUea+rcVRHpBP4N+KBSagr4ArAVuAw4DfxfF4dXjmuVUlcArwDeLyIvcHtA1WK2/nwt8APzoVY43pVoife8iPwlkAW+ZT50GtiglLoc+BPg2yLS5db4SlDufdESx7sUy1n4W6qpu4j4MUT/W0qpHwEopc4qpXJKqTzwZZrwNlIpdcr8PgT8GGOMZy2Lwfw+5N4IK/IK4FGl1FlojeNtUu74Nv17XkTeCbwaeKsyjXLTKhk1f34Ewys/x71RzqXC+6Lpj3c5lrPwt0xTdxER4KvAPqXU3xc9XuzP/ibw1Pxt3UREOkQkav2MMXn3FMZxfqf5sncCt7kzwkV5M0U2T7Mf7yLKHd/bgXeY2T3XAJOWJdQMiMjLgQ8Dr1VKJYoeHxARr/nzFmA7cMidUS6kwvviduBmEQmKyGaMcT/U6PHVhNuzy05+YWQ5PIsRQfyl2+OpMM7rMG4RnwAeN79eCXwDeNJ8/HZgtdtjnTfuLRhZDbuBPdYxBvqAO4D95vdet8daYuwRYBToLnqs6Y43xoXpNJDBiDDfXe74YlgP/2i+358EdjTZuA9geOLWe/yL5mvfYL5/dgOPAq9psnGXfV8Af2ke72eAV7j9fqn2S5ds0Gg0mjZjOVs9Go1GoymBFn6NRqNpM7TwazQaTZuhhV+j0WjaDC38Go1G02Zo4ddoNJo2Qwu/RqPRtBn/D2L3Am32Wn1EAAAAAElFTkSuQmCC\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -578,21 +178,17 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "text/html": [ - "
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" }, - "execution_count": 6, "metadata": {}, - "output_type": "execute_result" + "execution_count": 7 } ], "source": [ @@ -705,9 +301,9 @@ ], "metadata": { "kernelspec": { - "display_name": "envirocar", + "display_name": "Python 3.7.6 64-bit ('final': conda)", "language": "python", - "name": "envirocar" + "name": "python37664bitfinalcondaaa6f5b882ba44e6b828423e2ad55701d" }, "language_info": { "codemirror_mode": { @@ -719,9 +315,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.9" + "version": "3.7.6-final" } }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/examples/api_request_deckgl_ssaif.ipynb b/examples/api_request_deckgl_ssaif.ipynb new file mode 100644 index 0000000..be65fec --- /dev/null +++ b/examples/api_request_deckgl_ssaif.ipynb @@ -0,0 +1,338 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Package loading and basic configurations" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": "The autoreload extension is already loaded. To reload it, use:\n %reload_ext autoreload\n" + } + ], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "# load dependencies'\n", + "import pandas as pd\n", + "import geopandas as gpd\n", + "\n", + "from envirocar import TrackAPI, DownloadClient, BboxSelector, ECConfig\n", + "\n", + "# create an initial but optional config and an api client\n", + "config = ECConfig()\n", + "track_api = TrackAPI(api_client=DownloadClient(config=config))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Querying enviroCar Tracks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The following cell queries tracks from the enviroCar API. It defines a bbox for the area of Münster (Germany) and requests 50 tracks. The result is a GeoDataFrame, which is a geo-extended Pandas dataframe from the GeoPandas library. It contains all information of the track in a flat dataframe format including a specific geometry column. 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" + }, + "metadata": {}, + "execution_count": 22 + } + ], + "source": [ + "bbox = BboxSelector([\n", + " 7.6083221048,51.9739835019,7.6122070425,51.9744329683 # bounding box for part of York ring, perpendicular to Steinfurter Str.\n", + "])\n", + "\n", + "# issue a query\n", + "track_df = track_api.get_tracks(bbox=bbox, num_results=50) # requesting 50 tracks inside the bbox\n", + "track_df" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "" + }, + "metadata": {}, + "execution_count": 27 + }, + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "track_df.plot(figsize=(8, 10))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Inspecting a single Track" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": " id time geometry \\\n0 580c4f32e4b01fb1c08cac3d 2016-10-19T05:37:31 POINT (7.64687 51.95714) \n1 580c4f32e4b01fb1c08cac3f 2016-10-19T05:37:36 POINT (7.64704 51.95753) \n2 580c4f32e4b01fb1c08cac40 2016-10-19T05:37:41 POINT (7.64722 51.95782) \n3 580c4f32e4b01fb1c08cac41 2016-10-19T05:37:46 POINT (7.64745 51.95814) \n4 580c4f32e4b01fb1c08cac42 2016-10-19T05:37:51 POINT (7.64737 51.95820) \n.. ... ... ... \n140 580c4f32e4b01fb1c08cacca 2016-10-19T05:49:12 POINT (7.60259 51.96922) \n141 580c4f32e4b01fb1c08caccb 2016-10-19T05:49:17 POINT (7.60261 51.96923) \n142 580c4f32e4b01fb1c08caccc 2016-10-19T05:49:22 POINT (7.60200 51.96915) \n143 580c4f32e4b01fb1c08caccd 2016-10-19T05:49:27 POINT (7.60105 51.96925) \n144 580c4f32e4b01fb1c08cacce 2016-10-19T05:49:32 POINT (7.59983 51.96945) \n\n GPS Accuracy.value GPS Accuracy.unit Intake Pressure.value \\\n0 13.000000 % 124.528922 \n1 13.667007 % 106.999997 \n2 13.197605 % 103.000003 \n3 13.000000 % 101.360759 \n4 11.000000 % 102.000003 \n.. ... ... ... \n140 12.000000 % 103.000002 \n141 11.866149 % 168.430380 \n142 10.000000 % 228.903219 \n143 13.128074 % 127.830882 \n144 16.383065 % 112.000000 \n\n Intake Pressure.unit GPS Altitude.value GPS Altitude.unit \\\n0 kPa 59.000000 m \n1 kPa 61.332993 m \n2 kPa 62.000000 m \n3 kPa 63.000000 m \n4 kPa 60.000000 m \n.. ... ... ... \n140 kPa 66.999999 m \n141 kPa 67.000000 m \n142 kPa 67.153523 m \n143 kPa 66.000001 m \n144 kPa 65.000000 m \n\n GPS VDOP.value ... O2 Lambda Current ER.value \\\n0 NaN ... 0.996979 \n1 NaN ... 0.996979 \n2 NaN ... 0.996979 \n3 NaN ... 0.996979 \n4 NaN ... 0.996979 \n.. ... ... ... \n140 NaN ... 1.999969 \n141 NaN ... 1.546888 \n142 NaN ... 1.915202 \n143 NaN ... 1.999970 \n144 NaN ... 1.894943 \n\n O2 Lambda Current ER.unit O2 Lambda Current.value \\\n0 ratio -58.912224 \n1 ratio -39.479080 \n2 ratio -19.765980 \n3 ratio -0.177902 \n4 ratio 19.316067 \n.. ... ... \n140 ratio 99.808084 \n141 ratio -114.892554 \n142 ratio -95.395675 \n143 ratio -76.018468 \n144 ratio -56.582031 \n\n O2 Lambda Current.unit Long-Term Fuel Trim 1.value \\\n0 A NaN \n1 A NaN \n2 A NaN \n3 A NaN \n4 A NaN \n.. ... ... \n140 A NaN \n141 A NaN \n142 A NaN \n143 A NaN \n144 A NaN \n\n Long-Term Fuel Trim 1.unit Short-Term Fuel Trim 1.value \\\n0 NaN NaN \n1 NaN NaN \n2 NaN NaN \n3 NaN NaN \n4 NaN NaN \n.. ... ... \n140 NaN NaN \n141 NaN NaN \n142 NaN NaN \n143 NaN NaN \n144 NaN NaN \n\n Short-Term Fuel Trim 1.unit track.appVersion track.touVersion \n0 NaN NaN NaN \n1 NaN NaN NaN \n2 NaN NaN NaN \n3 NaN NaN NaN \n4 NaN NaN NaN \n.. ... ... ... \n140 NaN NaN NaN \n141 NaN NaN NaN \n142 NaN NaN NaN \n143 NaN NaN NaN \n144 NaN NaN NaN \n\n[145 rows x 62 columns]", + "text/html": "
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idtimegeometryGPS Accuracy.valueGPS Accuracy.unitIntake Pressure.valueIntake Pressure.unitGPS Altitude.valueGPS Altitude.unitGPS VDOP.value...O2 Lambda Current ER.valueO2 Lambda Current ER.unitO2 Lambda Current.valueO2 Lambda Current.unitLong-Term Fuel Trim 1.valueLong-Term Fuel Trim 1.unitShort-Term Fuel Trim 1.valueShort-Term Fuel Trim 1.unittrack.appVersiontrack.touVersion
0580c4f32e4b01fb1c08cac3d2016-10-19T05:37:31POINT (7.64687 51.95714)13.000000%124.528922kPa59.000000mNaN...0.996979ratio-58.912224ANaNNaNNaNNaNNaNNaN
1580c4f32e4b01fb1c08cac3f2016-10-19T05:37:36POINT (7.64704 51.95753)13.667007%106.999997kPa61.332993mNaN...0.996979ratio-39.479080ANaNNaNNaNNaNNaNNaN
2580c4f32e4b01fb1c08cac402016-10-19T05:37:41POINT (7.64722 51.95782)13.197605%103.000003kPa62.000000mNaN...0.996979ratio-19.765980ANaNNaNNaNNaNNaNNaN
3580c4f32e4b01fb1c08cac412016-10-19T05:37:46POINT (7.64745 51.95814)13.000000%101.360759kPa63.000000mNaN...0.996979ratio-0.177902ANaNNaNNaNNaNNaNNaN
4580c4f32e4b01fb1c08cac422016-10-19T05:37:51POINT (7.64737 51.95820)11.000000%102.000003kPa60.000000mNaN...0.996979ratio19.316067ANaNNaNNaNNaNNaNNaN
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140580c4f32e4b01fb1c08cacca2016-10-19T05:49:12POINT (7.60259 51.96922)12.000000%103.000002kPa66.999999mNaN...1.999969ratio99.808084ANaNNaNNaNNaNNaNNaN
141580c4f32e4b01fb1c08caccb2016-10-19T05:49:17POINT (7.60261 51.96923)11.866149%168.430380kPa67.000000mNaN...1.546888ratio-114.892554ANaNNaNNaNNaNNaNNaN
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143580c4f32e4b01fb1c08caccd2016-10-19T05:49:27POINT (7.60105 51.96925)13.128074%127.830882kPa66.000001mNaN...1.999970ratio-76.018468ANaNNaNNaNNaNNaNNaN
144580c4f32e4b01fb1c08cacce2016-10-19T05:49:32POINT (7.59983 51.96945)16.383065%112.000000kPa65.000000mNaN...1.894943ratio-56.582031ANaNNaNNaNNaNNaNNaN
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145 rows × 62 columns

\n
" + }, + "metadata": {}, + "execution_count": 53 + } + ], + "source": [ + "some_track_id = track_df['track.id'].unique()[5]\n", + "some_track = track_df[track_df['track.id'] == some_track_id]\n", + "some_track" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "" + }, + "metadata": {}, + "execution_count": 54 + }, + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "ax = some_track['Speed.value'].plot()\n", + "ax.set_title(\"Speed\")\n", + "ax.set_ylabel(some_track['Speed.unit'][0])\n", + "ax" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Interactive Map\n", + "The following map-based visualization makes use of folium. It allows to visualizate geospatial data based on an interactive leaflet map. Since the data in the GeoDataframe is modelled as a set of Point instead of a LineString, we have to manually create a polyline" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "", + "text/html": "
" + }, + "metadata": {}, + "execution_count": 56 + } + ], + "source": [ + "import folium\n", + "\n", + "lats = list(some_track['geometry'].apply(lambda coord: coord.y))\n", + "lngs = list(some_track['geometry'].apply(lambda coord: coord.x))\n", + "\n", + "avg_lat = sum(lats) / len(lats)\n", + "avg_lngs = sum(lngs) / len(lngs)\n", + "\n", + "m = folium.Map(location=[avg_lat, avg_lngs], zoom_start=13)\n", + "folium.PolyLine([coords for coords in zip(lats, lngs)], color='blue').add_to(m)\n", + "m" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Example: Visualization with pydeck (deck.gl)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The pydeck library makes use of the basemap tiles from Mapbox. In case you want to visualize the map with basemap tiles, you need to register with MapBox, and configure a specific access token. The service is free until a certain level of traffic is esceeded.\n", + "\n", + "You can either configure it via your terminal (i.e. `export MAPBOX_API_KEY=`), which pydeck will automatically read, or you can pass it as a variable to the generation of pydeck (i.e. `pdk.Deck(mapbox_key=, ...)`." + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": "", + "text/html": "\n \n " + }, + "metadata": {} + }, + { + "output_type": "execute_result", + "data": { + "text/plain": "'/Users/saad/Documents/Geoinformatics/third-semester/FCDA/envirocar-py/examples/tracks_muenster.html'" + }, + "metadata": {}, + "execution_count": 57 + } + ], + "source": [ + "import pydeck as pdk\n", + "\n", + "# for pydeck the attributes have to be flat\n", + "track_df['lat'] = track_df['geometry'].apply(lambda coord: coord.y)\n", + "track_df['lng'] = track_df['geometry'].apply(lambda coord: coord.x)\n", + "vis_df = pd.DataFrame(track_df)\n", + "vis_df['speed'] = vis_df['Speed.value']\n", + "\n", + "# omit unit columns\n", + "vis_df_cols = [col for col in vis_df.columns if col.lower()[len(col)-4:len(col)] != 'unit']\n", + "vis_df = vis_df[vis_df_cols]\n", + "\n", + "layer = pdk.Layer(\n", + " 'ScatterplotLayer',\n", + " data=vis_df,\n", + " get_position='[lng, lat]',\n", + " auto_highlight=True,\n", + " get_radius=10, # Radius is given in meters\n", + " get_fill_color='[speed < 20 ? 0 : (speed - 20)*8.5, speed < 50 ? 255 : 255 - (speed-50)*8.5, 0, 140]', # Set an RGBA value for fill\n", + " pickable=True\n", + ")\n", + "\n", + "# Set the viewport location\n", + "view_state = pdk.ViewState(\n", + " longitude=7.5963592529296875,\n", + " latitude=51.96246168188569,\n", + " zoom=10,\n", + " min_zoom=5,\n", + " max_zoom=15,\n", + " pitch=40.5,\n", + " bearing=-27.36)\n", + "\n", + "r = pdk.Deck(\n", + " width=200, \n", + " layers=[layer], \n", + " initial_view_state=view_state #, mapbox_key=\n", + ")\n", + "r.to_html('tracks_muenster.html', iframe_width=900)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.7.6 64-bit ('final': conda)", + "language": "python", + "name": "python37664bitfinalcondaaa6f5b882ba44e6b828423e2ad55701d" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6-final" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} \ No newline at end of file From be18f84ed62697045295ef3ab64a576d8cb33973 Mon Sep 17 00:00:00 2001 From: Saad Saif Date: Sat, 2 May 2020 11:24:27 +0200 Subject: [PATCH 2/4] plot and compare altitude values with speed --- examples/api_request_deckgl_ssaif.ipynb | 46 +++++++++++++++++++++++++ 1 file changed, 46 insertions(+) diff --git a/examples/api_request_deckgl_ssaif.ipynb b/examples/api_request_deckgl_ssaif.ipynb index be65fec..1781e12 100644 --- a/examples/api_request_deckgl_ssaif.ipynb +++ b/examples/api_request_deckgl_ssaif.ipynb @@ -190,6 +190,52 @@ "ax" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plot GPS Altitude values to compare with Speeds plot above." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "" + }, + "metadata": {}, + "execution_count": 62 + }, + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "ax = some_track['GPS Altitude.value'].plot()\n", + "ax.set_title(\"GPS Altitude\")\n", + "ax.set_ylabel(some_track['GPS Altitude.unit'][0])\n", + "ax" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "While a lot of speed values are missing. If we look at the 100th measurement of both speed and altitude, there is clearly an inverse relation between the two i.e., higher speed at lower altitudes. " + ] + }, { "cell_type": "markdown", "metadata": {}, From 5b01371baa6a3fd38722e68eef113d20202a0dea Mon Sep 17 00:00:00 2001 From: Saad Saif Date: Sat, 2 May 2020 11:39:55 +0200 Subject: [PATCH 3/4] speed vs altitude plot --- examples/api_request_deckgl_ssaif.ipynb | 83 ++++++++++++++++++------- 1 file changed, 59 insertions(+), 24 deletions(-) diff --git a/examples/api_request_deckgl_ssaif.ipynb b/examples/api_request_deckgl_ssaif.ipynb index 1781e12..2c17bb9 100644 --- a/examples/api_request_deckgl_ssaif.ipynb +++ b/examples/api_request_deckgl_ssaif.ipynb @@ -9,15 +9,9 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 2, "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": "The autoreload extension is already loaded. To reload it, use:\n %reload_ext autoreload\n" - } - ], + "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2\n", @@ -49,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -59,7 +53,7 @@ "text/html": "
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\n" }, "metadata": { @@ -160,22 +154,22 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 6, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { - "text/plain": "" + "text/plain": "" }, "metadata": {}, - "execution_count": 55 + "execution_count": 6 }, { "output_type": "display_data", "data": { "text/plain": "
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cBdM08HeBxj9XqK6ycnoxMZINnfEvl1XG33N89dETuOuxE3Evoy2LJcMNLI1sGs7id669AABw0cQw8o4eWVI6vxCmZgvYOJRxZRROrW1D6yDrVuI6G7b8C4R/oXzmR0fxsFMhe2yugG3r8qGboLkZf4hjwc34m2r88Uo9lsVwtljFujZSDwBMjOZwaiF4xi9r7CKgKnel8ezMMt731SdgWAxVw4qsf3fUMMawVF69uVvPrdecj6dPLuCml2zBszO2s6dQNTCS7+15qHFwrE6fr8dt1NbG0lmTb+yAv33Mfq6p2QLOFqr40Lf24aoL1uML56/H1GxxlW00CNlUAkThXF5tM/6YpZ6lsgHTYv6knpEszhSqKOtmoAlpssYuAirjl8ZH7tmPbErDVResx5987cmubWxWqJqwGFbYORvJpTXc/pt7cMV5Y27Gr4q4xHB0ruDZPoHvwbQr4jo2V0AyQThn1Hab5NIaNg9nMTVXxA8Pz4Ax4JGjZ7FcMWwPf0grJ2AbAAbSyVAZ/8xSBQnyLo4C4i/g4i2j/Uk99nsdNOuXNXYRUIFfCj8+Movv75/G7776QvzjLXvw4q2juO2uJ9tuzMUBzyAbXT3N4EU7qm1D9BQqBmaWKp4uG/8ZfxFb1+VWyDfb1+dxbK6ABw7NuIPb//XnJ1fsBYQln9bcDpNBmFmuYGwg07RiOKkloCUoNqnHbdA24H1FUs+Es0dyaj6Yzs/HLoruxQ+owC+Fj3/3ILauy+G3rp5EPp3Ee1+/C2eLOv6tC7N+rhm3knrqcYt2VBFX5NSsnB6BP+dvCtcxjyx+cv0Ajs4W8MNDM7jx4s3IpzXc8ZMpAOhI6gHs48Fvxj+zVMFrP/EAfn58vmXVLieTTMQm9cw16czpxRbu5V8o42yhipv++kE89fxC29/jyVOrq+2oUIFfAs/OFHD9iza6et9VF6zH+RsG8M8PPRfzylbDA4nfg6+TDT1Fa3iFrVcwrmX8zb9wGWOYml29R7B9Qx5zhSpml6u4YfcmXHXBBhx4YQlAeCsnZyCj+U4CDp9ewuHpZXz4nv2Y9h3448n4eeO1MR9Sz+aRWsb/gwPTePrkotvepBW89fSAsnOufRhjWK4YK+yRRIRffcW5ePTYWez3cUDIJKjU04mFT9Gao66Vc3UwzqYSSGnUMuOfK1SxXDFWfXGcVxfcr9k5jut22W2FkwnC1nXBu3LWk08nfRf0zTvH2k+PnsHTJxebOno4maQWo8bvP+PPpjSsH0jj5EIZ9x/yPy/Ynb6lMv61T0k37dYGDR/m216+FelkAv/80LGYVuYNDyS+pZ4OinYUrTk2W8SGwYxn7xYiwlCb1szHmhRk8T2DF58zgvGhjNtPvnEvIAwDac13C4/5or320XwKpsXaZ/yp+KSeM4UqcinN95yBidEsTpwtuh1tKz7282SNXQRU4BcO18wbpZPRfBpvvGQz7n6iu3T+Zutthsr4xWF3ymyuuQ9nk54VuBy+R3Buw3NsX59HJpnA9bs3AgC2jeWxa9MQdnY4RASwB6773dzlbY7/+PW7ADS3cnLilHr8Vu1yJkZyePjoGffLzc+6ZY1dBJSPXzg8kHp9mLs2D+Prj5+U1pjJDzyD9B34U5015lI0Z2qugFftGG96/2C2dYO8accbv3l4ZSXuQCaJe37/VStknf/1ziuQ6jDbB4Jl/AslHdlUAjdffi5KVRP/7iWtx3dmklqsgd+PlZOzZSSLqmGBCGAsmNSj7Jw9AB+I7aWZ8wwn7NAGESyWDWRTCc8pSF4ktQQyyYTK+COmWDVwerHSMuPPp1pn1zNLFQykNc9AcsH44IrPeNNwNlBG23RNaf8Z/3yxitFcGlqC8K5XnY+Nw61bRcTp6gmc8Tt1E5duG/W9blljFwEV+IXTasNmIw/8y90T+JfKuu+NXY5t4VOBP0qeO+PdnK2eXFpDqYV27MciGTUDGTvjZ4y1fex8UcdogGrvTCoR2+aun86c9Uw4zp5rd47bgd/HuosVA7mUJnzsIqACv3BaaeZdmfGXjMA+4nxaUx06I+aIM+SmcQBLPfk2ssr0Ull64M+nk3ZbErN9oJsv6RjxaSIA4pV6Fkp6oJYkL9k6ig2DGdz04glkUv7WXTUZ0j6vtDtFBX7BLLfQ+Lsy8Lfp0+PFQAALn8If+04uIpkg7Ng02PQx+XSyZXO8WDJ+x/XiJxFYCJrxxyT1MMZQ0k3kfTp6APsLe+8Hb8COTUO+122YFlKa+GwfUIFfOLWCqNUH+Lq8rW9OL4Xr3S2CxVJwqSef8b+hp/DHvlOLuHDjYMu9lnxaa/mF22qilSj4fsKyD53fb7dLTlyuHt1kMC2GbMhs3O+6DYshqQJ/b9DKm6slCOsH0l2V8S+Vg0s9g5mkrxNd4Z+nTy66w+6b0UrqKesmFstG2w3TqKnN3W0/IGY+oHwSVwEXH/Du18PfSCap+ZpXoZsWUgk5IVkFfsEslQ0MpLWmzac2Dme6KvCHkXqUxh8t00tlzCxVcNGW4ZaPy6XtgGJaqzdS2/W3FwWXQ9pJf2XdHt4zmguQ8cdUwFV2vsSCtFiux163j4zf7KGMn4g0IvoZEd3t/HweET1MRIeJ6MtE1LmHrItpN1FnfDDTNa4expgzhEVp/HGy/5TdN+eiidaBf6DFjNt2/e1FUWva1zpAz5fs4q3gGr/8jJ87p8IG/rSW8FW5a1gWkj2U8f8+gP11P38MwCcZYzsAnAXwTglriI2lSvMxhoB9YnZLxl8xLFRNK7irR2n8kcIH2fvJ+AFvWWU6psDvN+N32zWsAVdP2ZGXcqEzfv+unp7Y3CWirQBuAvCPzs8E4DUA7nQecgeAt4pcQ9wslY2WJdjjQxnMLlc9L9dlE7RPD2cgQNGOoj37Ti5i67pcW6tjvkXgjy3jb3EVUg8P/ME0/gRMi8HwYRWNEp7x59LhwqXvzV3TiqR62g+iX+VTAN4LgP+v1wOYZ4zxo+IEgHO8fpGIbiWivUS0d2ZmRvAyxdFus3R8MAPTmecZN7zFb7N5u83Ip5OoGJb0E7JX2Xdqsa3MA8Cdw9tM6iEC1kdQjRsE3rupXQuPeed4D+Tq4QPXJWf9pU41ft92zh7Q+InoTQCmGWOP1t/s8VDPVJcxdjtjbA9jbM/4ePN+Jd2O3ZK5eSDlrotukHtCZ/y8UVsXThRbaxQqBo7OFto6eoBaxu/l5Z9ZrmD9QLrjbptB8Z3xl2qdOf0S18B17uoJH/j9uZF0qzcy/qsBvJmIpgB8CbbE8ykAo0TEI+FWACcFriF2lso6hjKtNX7ADvyMMRx4Ib7+/O70rRAZP2Bv6M0sVXDfgWncd2AazziD2Jtx8IUlWCEkLsti2Heyu+YYRMWBF5bAWHt9H6jX072lng2SHT1ATQdvn/FzjT+Yjx+QP3Cdu3rCa/wBXD1N3H9RIyzwM8ZuY4xtZYxNArgZwA8YY78G4D4Ab3MedguAb4haQzfgx9UD2Cfqvz5xCjd+6kG3j7psgg5h4fCMv1A18Md3/hy/9blH8FufewRv+7ufNJV/jp8p4sa/+iH+9Yng3/ufvv8I3vjXD7ptDXqJZ5z/0y4fLZJzbsa/Orv2M9FKBIkEOfUF7TL+KtLJBLIp/yHIlXoke/ldjV+w1KOblrQrtDh8/O8D8IdEdAS25v+ZGNYgBdNiKFTN1hq/c3JOL1Xw/X2nAdSm/cgmrNSTd4exGPj58XncePFmfOCNu3G2qOPx4/Oev3PotJ3Z/uw57/ubcXqxjE/f/wwA4OdNnnstw90ww7n2V101WWV1UJmNKfAD/ubuLhR1jOZSgRqSxSb1OF80HUk9Pit3e8LVw2GM3c8Ye5Pz72cZY1cwxi5kjL2dMRa/uC0IXs3ays45kEliIK3h9GLZndZTjkkr55u7Qe2cvD/LszMFnC3quOrC9fgPl2+DliDcf9B7Y37KGRISVLL5+HcOQjctpJMJX3NM1xpBPOPNXD2MMcwsVbBxSG7VLmcg3X7ubtDOnEB8Uk8UGX/VsNp2LDXM3vLx9y28F/9Qm8EK40MZ/ODANM4GmNYjgqWyjmSCAh/gvGjnp1NnANiFRyO5FC7bNooHDjUJ/LO2nLXv1GJbnZ8xhiPTS/jcj4/izsdO4B1XTWL3xHBP6vw8u/TTk73m418ZZBdLBqqmFVvGn08nsdxG4z/r9OIPQnwZv/NlHNbO6dONpPeCq0dRn/G3D/y8/zrgbz6nCHi7hqD9wLnGv3fqDIiAFzlWxOt2jePJ5xc8HUtTzj7GcsXA8bPFVffX83cPPIMbPvFD/Om/7sMF44P4vdfswMVbhvH0yQVffd/XEmXd9N2TPd9E6plZtpv+xRf4NZT01hn/QilExh+Txl/WTRDZFbhh8PuFpZtW6NcIigr8AnHHLvoI/EDNc12OadhEsRKs9SyHB6BDp5cxuX7ALVi7dqc905VLWPUcmyu606XaZe77Ti5iYiSLH7znWnzvv12DkVwKF00MY7Fs4Pn5UuD1djOlqul7w1NL2NOaGu2c04vx9OnhZFKJtk3J1pTUU/X/ZeyF33Wr7pw9wnK5vcYP1E7QG3ZvAhCfxl9xtPOg8E1GYGV/mYu3DGPDYHqVzl81LJw4W8TrLt4MLUF4uk3gn1mqYNu6PM4fH3RPPm537DW5h2f8fvHq0Ml7P8WV8fvZzJwvVTEaoHiLPy8QQwFXwM+kETfwt0nodKXx9wbcJdOqZQNQK+K68ZLNAOIL/FUj3KVmfbvaev95IkG4Zuc4Hjw8s6IlxfPzJVgM2LlpCBeOD7bdpJ1ZqmB8eGUQ2715GAlC2y+NtUZJN5ENcNWV92iQ52b8MQV+uylZ8yBX1k2UdSvQ9C0gRh+/boV29ABwk6l2U8mMXunV0+9wjb9dQdQbXzyBd7/mQlx+3hgAoBzT5m7VsEINek4nE+4XRmOrgWt3juNsUceTzy+4t/GN3cn1eVy0pf0m7bTHQJFcWsN5GwZ6ztlT1s1AAz9yaW2V1PPMzDJG86nAhXhR0a598kKIql3+vEA8Gn+QeoNG3CuVNus2rN728fcNfjX+8zYM4A9ftwt5J6uINeMPEfiBWo+WixsqTq/ZMQ4i4P6D0+5tfGN3+/oBXLxlGC8sljHXpDV1sWpguWJg4/Dq7PXiLSM9KPVYgQZ+DHhIPftOLeLiLcNShnZ70a4pGe9LtVZcPSXdDD2EBah39TQ/rxlj0E2G1Fqv3FXYGr8WwB6ZSBDSWiK2zd1qSI0fsHX+DYPpVfLCuoE0Xrp1pa3z2FwRgxn78fwKoVnmzh1BXp70i7YM4/n5EhYcG2wvEFRPbsz4ddPCgReWfDV5E0U7jZ+3a1i3RjZ3g16FNVJbd/P3xHCkUJXx9wBLZR2DmWSw6sRUYs1p/IB92X7JOSOe/9frdo3j8ePzOOtUJE/NFbB9fR5EhN1OgDr4wpLn8067gd8r47d/t15GWusEcfUAqzX+Z2cKqBqWryZvosgkWw8e4YE/aIW4303SqOk44/dxpWKYduDvhSZtfU+Y+bXZlBbLeDmgM6nnk798KT701ks877tu10YwBjx4ZBYAt3IOAIC7wcdlsUZabVS+7Nx1SGsJT7voWqVsmIE2Ehsz/n2n/A1xEUm7pmRc6hkL2DI6qSWgJSiWtsydbO7WvrCan9e6Zf+f1OZuD7BUaT2ExYtsKm6pJ9wBvnPTELauy3ve9+JzRrAun8L9B6dhmBaOnyliu+Ph5/JWs5N5eskuRvLK+AcySVx+3rqmbSHWIuVqMKmnUeN/+vlFZJIJnL9hQMTyfJFJajBaDEw5UwgX+O3nlj93t2J05urJ+qjc5Rn/mu/O2Q089fyC2/gsDpbKeuBOl9mktialnlZojq3zgYMz+NxPpmBYDJN1ganVyTyzVEEyQU0Hdly7cxwHTy/h1EJvFHKV9GDZZaPUs+/UIl60eUh6H/56Mm3si2cLVeTTWqhgGsfcXbuAKwJXT8vAb9+nNP4I+PC39uN9X33C9dPLZrnSuiWzF9lUfIG/0oHU047XX7wZc4UqPvQte/xyvfunlTQw7fSVTzTJhK7bZVcHP9AjWX9QV0+91MMYs6d3xSjzAO21+DPFaqDJWyuf299QkyiJrICrxZWKbk7llXYAACAASURBVHGNX2X8HfOBm3bjTLGKv/3BkVheP5zGH6PUY5ihfPx+eOOLJ/DQbdfjwfe+Go984IYVm4+tTubppYqnlZOzY+MgJkayTZvBrSUYY8Ez/pQtq1QNCycXypgv6rE6egB7uDjQPMM9W6iGknns55Yv9ZQDfiaN+PHxuxm/qtztnEvOGcEvvWwrPvvjKTw317oRmAiW2wxa9yKb0txRb7LpxM7ph80jWWwby6/aqG0l9Uwvlj31fQ4R4bpd4/jR4Vnoa3zmLw+UgVo2OMdXqWq6NQ0XxejoAdpnuGeKOtaFDfySpR7LYh1r/H66c+pc41cZfzT88et3IakRPvrt/dJf2874g1rWtBgzfnndAetJtziZZ5crGG/TV/7aneNYqhh47NhZEcuThtv+N5Cdszb9bN/JRbs76ub207tE0k7TPluoYiygh7/+uWUGfp6EdWLn5OdUS6nH5K4elfFHwqbhLH7pZVtx34EZqS18K4aJqmlhMBPsgMmmWnugRWGYFiwGoRl/MzIp75PZMC3MFapte85cum0dAODwGh/FGGbgR/0wlsPTS9i2Lu/OR4gLd3O3ReDvLOOXd36407c6OC/aOdcA5eMXwvb1eZR00+0RIgM+bDqU1BND4OcOjFgCv5ZA1eNknl2ugjFvK2c9fEzhcpupT90O36QNtLmb4nN3TUzNFVa4peKiVYuCqmFhqWJgLOzmbqp1A7iocb+MO8j4AeeqtsW6uY9fST0RsmU0BwA4OV+W9poFJwgFzb6yqUQsTdp4dhaH1NPM1dPKw19PLqUhQbU22GuV2vStAD5+5/gqVA0cmy3ivPXetRQyabWZyYu3wmf8cqUe/mXcicYPtL9ScTN+tbkbHRMjtkYs0+vNs8+gGX8mJh+/G/jjyPibZENun57h1ho/EWEwk1z7GX+I7JI/9sTZEpYqBrav74KMv0Vvmk6Kt/hzy5V6ogv8rYbT1Hz8KuOPDDfjX1gjGb9uSh8pWIk18Hu3qeB9evz0lR/Kppq2fVgrlDvQ+Pc7Te4mN8Sf8adbuHp4v6bwPn65rp4wn4kXzfaxOMrHL4ANgxkkE4RTEsf0LVX8tWRuJJvUYLGavUsW/KAU5eNvRbOTOcgIwaFsEsuVtd2lM4yrh08/cwN/t2f8Ifv01J5bbgFXVBp/e6lH+fgjR0sQNg1ncSqGjD/M5i4A6V7+btX41+VTvq5CekrqCdikDbBbNSQITfslycQt4PLS+HnGPxDSzim5gKvm6oki8Lfy8SupRwhbRrM4KTHj70TqAeQPY4nV1ZPUPC2sc8tVbPA5MHwwm1zzm7thNhK51DNf1HHOulwsn18jrQq4zhR4L/61IfXUMv7O3td2Vyr8Cl9W4hX/USKJiZGc1Ix/mds50wE3d1tkSyKJe3PXq6FXJUCL4sFM0pXX1irczRUk8Ndnot0g8wCtpZ6zxSqGs8nQfvVWxX4iKEfl6mlzpWK4dk4V+CNlYjSLFxbKsCw52nkt4w9awBXP+MU4pR5+MjduaOsBhk8P9UDGXw7h408kyM36uyfwN6/cPdNBnx7A1sBNi0kzP3DJNRo7p4+WDaotc7RsGcmh6lSCymC5YiCbSgT+BucVgrLbNlRN+wCPK+NnHhvauul/+HQvafxBq0R54N/eBR5+wHamEHkPHjlbDF+1y58bkGd+cIvqOg78rV09qnJXELK9/MshhrAAtcxCdgfCeKUe7/+zbvrvHTSYSaFYNWFKuqITQVk3kdIocLKQ67KMn4iaZrhnCtXQVbsAoDmuFy6NiKYUoY/fn9SzxjN+IsoS0U+J6OdE9DQR/Zlz+3lE9DARHSaiLxNR+KMgALKrdwsVI1TPlJrUIzfjj9XO2aR7oWH5l3q4bXYtZ/1BWzJz8in7/94N7Ro4zTLcTvr0ALWM35D0BV/W7eRD61CCaddqQu+hyt0KgNcwxl4K4FIANxLRlQA+BuCTjLEdAM4CeKfANbjIzvgLFcP1WAchNlePq/F3ltmEodlmYNXwL/UMOV+ySzEN3YmCcsiBH/mMBiJg21hOwKrC0SzDPVPsVON3Ar8kqcfuxd95mGwv9fRIxs9seLvElPOHAXgNgDud2+8A8FZRa6hnbCCNTDIhzdnTqdQj3ccfs50TWK0JB5J6Osz4S1UTt931JOaLcvaAvCjr4fq+59MatozkAvX4EY1XhlusGijrVmgrJ1BzvTSb5xs1parZcfEWwA0M7dsyr/nADwBEpBHR4wCmAXwPwDMA5hlj/Ow8AeCcJr97KxHtJaK9MzOdT1ciIkyMyPPyhxm7CNTsedI3d2O2cwLeUo/fE4F/yYZ19jx9cgFf/OlzeGQqvp7+pYCD1jm/eNlWvPOV5wlYUXi8Mtxan55wxVtA3eauLKkngKW4FZkmzjWObKlHaONuxpgJ4FIiGgXwNQC7vR7W5HdvB3A7AOzZsyeST1mml79QMTGwYQ1KPTFq/I1NrHTD8u1y4CMuw3r5+SZeq0ZaoinpJrIhsstfevlWAavpDC+p52yHxVtAraWB1Iw/osDPnWvp5OpkxrAsaAlqOls6aqSc5YyxeQD3A7gSwCgR8Yi4FcBJGWsAbC+/rH49ttQT/IDJ9KOPX/P2fesBNnd54A+b8XPbHre1xkFZNzsa+NFNeLl6Ou3TA9SkEGl2zg7n7XKaOdc4hsmkefiBAIGfiM4hoquI6Br+p83jx51MH0SUA3ADgP0A7gPwNudhtwD4RrilB2fLSA6nlypSLH+dbu7KrE4Eahq/rO6A9TQb3KGb/jP+wYwtH4TW+J0vWt2Izw5a1qPRk7sBrxYFtT49nbh65No5K7oVzeZuk6tajl2sKO9L31dkIqKPAfhlAPsA8LOTAfhhi1+bAHAHEWmwv2C+whi7m4j2AfgSEX0IwM8AfCbs4oMylE3CtBgqhol8iKDsF9NiKFbNUHbOtJYAUTwZfzqZAFEMgZ9r/Hp4qWeww4yfv9+VGAe2l3QTWyLILruBdDKB+YaJd3wIy2guvMYv29VT0k1sGOzccd6qjQVgf5HJ2tgF/Gv8bwWwizFW8fvEjLEnAFzmcfuzAK7w+zxRwvXrqmGhA5mxLYVquM6cgL0JnY1hGEvFsJCJQeYBmpf46wE2d/Mp29IYWuOvxq/xh3X1dCP2cJ2VxzA3LHSSdPFEQJel8Ud0FdZuAL1uMmktmQH/Us+zsO2Ya5p2b35UFEL24ufYw1jkSz1xdXZs1s0xiJ0zkSAMpsP36yl2y+ZurwT+lLbqveSfbyfHWVJ6AZfZcUtmoHXHUoDLml2S8RPR38CWdIoAHieie2EXZgEAGGPvFru8aGkmKURN2JbMnDgGrnOpJw68KnftRlzBBlMMdjCMhTdIk5VJNltDFA6SbsBrc7dqWEgmqKMqWH48yPqcyiGdVo24x3iT2GME2M+KgnaRaa/z96MAvil4LcJxpR7Bzg23JXMIVw/gBH7Zm7uGFUu7BqB2JVafIfITO+VhfWtGJ43ausHOWTbMjvu+dwteds5KBMeY27JBYpO2aOycbaSeALJmFLQL/FcD+DcA32eMLUlYj1D4QSdaRnEz/pBaZiaZ6KuM32tGKw/8Qeylg9lk6Lm7buCPKePXTQu6ySKRFboBL1dPFMcYv1qQ4ephjKFsWJH5+IFWdk5LWvEW0F7j/ycALwVwDxHdS0TvI6KXSliXENJtdtY7oayb+OyPj6Ksm27wWVNSTzdo/Hp9xh+8P3lHGX/Vfu24Mn53qHev2Dk9xmlWDLPjthKunVNCxq+bDKbFIuvVA7SSeroo42eMPQTgIQB/SkTrAbwOwHuI6CUAHgPwbcbYV8QvMxq8JIWo+PR9R/DXPziCiZGcm/EPdbC5G8cErjiKtwA7uCdo5RdyTerxv6ahbBIvhKzMLsec8buzXXtI46+aFiyLudWoUWT8Mjd3eXYeRQ+kZh1oObbU0z0avwtjbA7AF50/IKKXA7hR0LqE0KxQqFNOzpdw+4PPAgCOzRXcrK2TjP+MpIExnDilHrt/u+Yp9QS5/O0k4y86Fty4M/7eCfxOkmVayCZq+nanGr/MzV23f04EmThPqlpLPV2S8XOcCtzfBDBZ/ztrzdXD3/yoT+6/+PYBWAwYSGuYmiu67XHD+PgBxOPjNy2MpONz7DZKA+5JF2Bzdyib6lzjjynwu0O9eybw1+Q7/mUWRXIhc3O31io5usrd5j7+7izguge25PMkgPhsDx0ioh3C48fn8fXHT+J3X30B/s8zc5iaLWBsIAUtQaGzm0wcPv4YpR6AF/zU/s/uSRci46+XF/xScl47LjtnTePvEVfPiqvrlPPvCDJ+iS0bqiEMBs1o1nqco5tM6tWe38CfZYz9odCVSCDqAi7GGP787n0YH8rgP193IU7Nl/HQs3PYuWkQA2ktdPuDODL+qmHGZucE7M+mXl+v9Q4KpvEDduX0UDbY1Us55spdXjncS64eYOW5FknGn5DXpI1fVUSRiftp2SDTx+/3lT5PRP+RiCaIaIz/EboyAdS3bIiCu584hUePncUfvW4nBjNJbF8/gJMLZcwVqoEDTz125W7/uHqA1b5vftJ5tbBthtuTP4TOH7ed053t2iuuHg/7YhSuHpmDWGpzcDs/L9rFHtndOf1m/FUAfwngA6j1z2cAzhexKFG089IGoayb+Oi/HcBFE8N428u3AQAmN+QBAPtPLWIgZPEWEF8BV5xST7pB6tHDSD31jdpGgr1+3Bo/l/Z6TeOvlywra8zVU3U6taYjyPh5UG82QCZIJ9oo8Bv4/xDAhYyxWZGLEU2UUs/Xf/Y8np8v4S/f9hK3qGRyvT3s+tnZAi7dNhp+nU6fkzBadVjidPUAq0v8w0g9POMP06it1o9fuXqigM+VaJR6Oq7cdV09EqQeK3jy0QwiQlpLNN1DCjJtLgr8/o+eht2vZ00TpdRzcr4EIuDK89e7t/HAz1h4Rw8QT0/++AO/5in1BLHShR3GwhiLPePvNVePl30x0oxfpp0zovMiqRH0llJP92X8JuwmbfdhDTdp0xKEZIIikXqWKgYG08kVGflIPoXRfArzRT10uwagfu6uvMEcsWv8qQQKhVrA1kNl/OGGsfAKTSB+H3+vBH4v+6Lt6ulQ428jmURJrZYkmkw8pSWaSlRd1Z2zjh8D+HrDbcMRr0UKjVpyWApNhqlPrh/A48X50MVbQO1yvxxxoVkzLIvZs0C7yM5ZK54JqfEHoKSvLhyTDV9DJoL2AN2AVxuOKJxjRHbyJmVz13X1RPOZpLREUylRto/f7//oVwE8xhi7gzF2B+zN3l8Xtyxx8FLyTrFn6noFfnuDN2y7BqB+4LqcIOT6lbtI6qll/MFdPUE1/noHVdybu3FaaqPEa8ZsFD5+wJZMZIxPDXMMtiLVRurpxs3dtwG4k4h+DcArYVfxvk7YqgTi1TUwDEtl74x/u6Pzd+rqAaJvLdEMHvjj9fEnvNsyh9jcDZzxOxu7+bQWa3fOuEZfiqDRt84Yi0xOTCYSUjZ3wxyDrWgp9Uj28fsK/IyxZ4noZthyz3EAr2OMlYSuTBBp0Rm/Y+nsTOqRnPEbXZDxN7RsCFM8oyUIKS34Hg6XWUZyqdC9fjpFj9lOGzWNw8V10x6sE1XGL6NylwfpqCSYpEZNY09X+fiJ6EnUfPsAMAZAA/AwEYEx9hKRixOB14CIMCyXDWwezq66nTt7OnL11G3uysAN/HH6+DXN084ZdE1pLRFYrik6Gf9wNuUOBJeN7M090TRap6OUE9dqxp/WEp5SD2PMsXN2T8b/JimrkEgmopbHzTL+F20extUXrsfLt68L/dzcAy098Mee8dfbOcNVTWZSWmAbbLku449L469K1nhF01gsyXvURNHiOKXJ2dx1DQYR2SybST38tq7pzskYOyZrIbJIt9hZD8JyE40/l9bwhXdd2dFzZyKsN/BDd2zuJlxbpZag0C1xw2T8XOMfzqVgMftLR2b2Bciv3BRNo6snyn0kW+qR150zSIfYViQ18nSNRe0e8kPvHGk+iWJz17IYlqsGhjqQc1pRmw0sWeOP1c65ckiOboW7zE6HkPLqNX5ATlVoI3EX0EUNETmfhf058nMuiv9jKtG8AjZKwrQNaUWqSVJSjdg95IfeOdJ80igphKGom3Z1bgeWzVbwYCfLU17pBqmnQRrQjeA+fv48Qb8wGwN/HHJPr2n8wMr9NH6MRSH1JDWSNnoRiC4gp5tJPRHvJfih7wJ/Wls9CzQo3C7IK0WjhgdgHvxE0y0af/1adNNCgmrDtf2STgaXesoNgb9iyu2MCvSe1APw2gxH6onwGEsmElJcPVFv7jaVeiJ2D/mht440H/AGaJ2wXNEBiMz47QOgIkvq6Qof/0oXiG6F09kbm735gbt6RnL25xlHxt9rm7vAymrs2vzaCKQejaTIcVEH5GZST5gxo53SW0eaD6LI+Pl4P2EaP5d6ZG3uuhp/fH1ivKSeMHsO6RCBn2/u8hkKcWj8vebjB1bKqpFm/JrkjD+igNxc6lEZv3AaC4XCwIt8RGX8rtQje3M3xoyfvzYvWjOscL1L0sngV3Rl3e4hUz8bVja6aUXmHukW6qWemsYfhdQjJ+PXTQtagiJrjd5c6olu4ItfhL0SEW0jovuIaD8RPU1Ev+/cPkZE3yOiw87f4Q3vIYiigKum8Yvd3JVn57Tfj+7Y3K1p/GGkjzBST8npghr1hLYg9KLGv8LVE2FykdISUnr1RF1Nm2pSwFWrF+iNjN8A8B7G2G4AVwL4XSK6CMD7AdzLGNsB4F7nZ2mE2fxrhDcBExX43dazfZTxNzb1Ctst1P58A9o5qyZyKU26jbaeaszdUUVga/zc1RNdAVdSYgFXlJ9JSkt4tpPuKR8/Y+wUY+wx599LAPYDOAfAWwDc4TzsDgBvFbUGL/jlJ2PhMwae8XfSgbMV3ANdlaQ1d4WPP7U64w8j9WRC7OHwjJ9vqscn9fRg4G9w9aw1qSdK3T3VROrhiUbPafxENAngMgAPA9jEGDsF2F8OADY2+Z1biWgvEe2dmZmJbC2ZCLK6gpPxd9KIrR1hKlDD0lU+fr1DqScVzs6ZS2mRHBth0c0e3NwVpvHL2dw1QjrLmpHSEp71B/zqRebnL/yViGgQwFcB/AFjbNHv7zHGbmeM7WGM7RkfH49sPVG0Q1iuGMimEkI12WbZgQi6yc7J16KH1FfDtOQocqlHi3Fz1+i9Aq5sKuHWSETr6pFXwBW11ON1bLq20R7R+EFEKdhB/wuMsbucm08T0YRz/wSAaZFraKRxEzEMS00atEVJOimnLB3oEqnHzfi5xh+uhUGYCWuu1JOUu7dSTy/6+IeySdcBF2Xlrq2Vy7FzypB63NYQvZDxkz1R4jMA9jPGPlF31zcB3OL8+xYA3xC1Bi/SEQT+5bL4wN+s2EMEVcNCMkLbWhgav5DDTiTKJIMPUylVTWRTmvvFp1w90TCYSbr7YdFW7srJ+EW4ehjDKkeSEXFrCD+IjF5XA/gNAE8S0ePObX8C4KMAvkJE7wTwHIC3C1zDKhqbgYVhucm83SiJamCMHypd0CDMq397KKknaVv9gnTY5Bp/3HbOuD+DqBnMpFDSTRimhYphIpmgwC04vEhqcvrxVyP+MuZXD3Z9QO3Kx/XxS6zcFRa9GGM/AtDsU75e1Ou2o7FCNAwyMv60JlfqiTvo1Fw9NaknzHtcv0HrN/CXdBP5dLx2zl5s0saTo+WKEekxlpI1gSviwO9eUZqWWywIRN8Mzg+9lWL4IIqsztb4xTRo48iWeuJ2lPDX5/p82MvsMJ9v3FIPYwx6j2r8gN3iJKpB64Dj6pHUqyfKYMw/38a195TG3600SgphWK7owjz8nHRSzuUsgMiGYHdCIkEr+iiF1bzD7OGsqtyVnPHXMr7eOh15LysRGb+Mq+GqEa2ds17qqScOjb+3jjQfuJJCB8NY5GzuktyMvwv05UxdVXX4lg3B9nB004JuMsfOGU/GzwNB3FddUVMv9VQMMxJHDyBxApegjL/x+Ao7dKgTeutI80FNZwun8TPGpGzuNvP8iqDSBVIPYH8pl/Ray4YwJ13QjJ/7zHMpDVqCQCTfzlnr+95jGj/P+MtGpFeVyYS9gd9J9b0fRGn8jV9absuGXvHxdyOdZvwVw84QRWf8GZk+fjM6/bUT8ukkilXb/hf2pHP3Cnxu3vMvmmxas1tlSNxb4bij97rgM4gSV+OvGKjo0R1j/AtSdNZfNVmkTptmUo/S+CXQqcbPC1JEa/xyN3ejuwzvhIFMEoWKU+lpsnCDWFLB5Jpy1X5cznFZhOnn3yk9q/E78w2WynqkyUWyySZp1BgRO62aST38C0xp/ALp1NUjuiUzJyXRzlkxLDdgxslAWnP7INm9a8I1aQP8f74848+n7cAfZmZvp3RD5bQI6qWeih6l1ONkzoItnVEX1TWXeuT7+HvrSPNBpz7+ZcEtmTkyXT1l3eqajL9e6gmT8QfV+Pnr8Yy/Wc90kUQ927VbyKc1EDmbu2Z0xxgP/KIzft1kkbZsaC71qIxfOJ22bOBjF2Vs7sqSHCqGiWw3ZPwZzf1iDetrD+rqcTX+Oqknroy/1zZ3iQiDmaTt49fN6DJ+V+oR+zkZlhXpHFx+PDcmFrpTpW53uZFD/Ge7ZDpt0laQlfFL7M5Z6ZaMP51EsWraBU1WOKkntKvHkXri2NzVe3RzF7C9/MsVI1KNn39Beg01iRLdZJGOw3QDf6PUY0V7ZeGH3jvS2lBzfXS2udtL3TkrhtkdGr8TJGyrXjiXQ61lg09Xj7O5y694ZO6tcPilfq9p/IC9wbtU1iPW+OVk/HYmHmXG73xheWT8UV5Z+KH3jrQ2uNOtwko9ggetc2S6esq6hWw3ZPwZDcWq2ZHLJejmfb2Pn/++fFdPb2r8gH2e1DL+6Aq4AAjfAzNMFmlho5vxe1TuqoxfAp0MXHfHLgru1ZNOJmBYDJaECsVuyvhNi2GpogMIp3kHlXo8Nf64fPw9pvEDtdbMFd2MUOrh7hgZGb8MqSfa1hB+iP9sj4H6kXBBWa7o0BIkfDO0dpCIPbhNy24Q1hUZf9q+iloo8sDfgdQTMOPn//847Jy60dsZ/1Il6iZt4l09jDFHe5ch9TCkJM/C6L0jzQeZDrK65bKBAafKUySy+sbwK59uyfgBYL5kB/4wl79BM37+uGy6CzT+Ht3cXYq4ZUMzySRKavsuArpzWo1Sj8r4pZDpQMe1e7eL1feBWhAQrWOWndYV2S4IOgOOs2a+g4w/6OZ9WTdBVPu9OF09vbm5m8R8sQrGopvpnJTQssEdjhLxzF3ArkqvJ+p6AT/03pHmA3suaziNv6RbrvVPJDKyGqA+4+8CqYdn/MUqgHCBMOjmfVk3kU3WruBi1fi74Ms3agYzqcivaGquHnGBXxfQOE25emKmEx2XD+0QDT9IRAchN+PvCqnHfl8XOpB6ALttQ5AmbfX/95SksX719Gp3TmCl+y0qV0+tSZtIqSe6GcGcZlJP2bCQlZBM1hP/2R4DmaQWujunPZ9V/NsmayiIm/F3w+aum/GHl3oAe7/Cf8ZvuVZOICY7Z4/26gFqw1iACDN+CU3aaq2SRXTnXLnuclVOTKmn9440H3RSls+nNYlG1uZuV2X8ab65a0s9YTPgIDp9WV95BWdv/IefxxyGXu3OCTRm/BE3aRO6uRv9VRiXcxqPzZJurkg+ZNB7R5oPOvHxl6pyPiRpGr/eexl/kKy9rFsr9jdi6dXTwwVc9e3Lo8v4xW/uiiiqSyQIycTqQfHFqiHFMLJiLVJfrUvIpBIdST0yNP6aq0dwxm90UcafWenqCXuZnUlqATP+eo2flMYfIfWtTaLrzin+3OBfKlG7bZIex1dZt6TElHriP9tjIN3BWMOypMuyVEBbYli6KeNPawkkE+RKPemQDbKCZO2Nn2da02BaDKaEimmO7gz8kNmdURYiMn53c1fgF3RVUFGdVysW2yKuAr9wOtnclabxJ+X0I+mmjJ+IMJBJRiT1+JPyysbKK7hOB/WEIWwL6rXAYF1rk8gncAl09YiaipXWEp5Sj4yYUk9vHm1tyKQ60PglZfxpzX4N0UNBuinjB+wiroWOpZ5grp5GqQeQG/irRrSTnrqJQREZf0J8UiRqKlZSI+hGbd2WxZTUI4uw1ZkyPyTeB1z0RiPP+LuhZQNgb/DyDqidSD1BKnfr+xRlJNlo64l6xF83kU/ZU7gAARm/wM9I1IZ7Y0uQsrFy9KcsevNoa4Od8Qc/aNy+LlIy/v5z9QBAvm4zMGy2FdTO2ejqAeQG/qoRbujMWiCRIHeDN+q2zEJbNggah5jWEiu6c5aqK9uCy6I/A39SgxFiA6/k9m4X/7alJPn4K12k8QPAYKZ2AoRtYZBJBXH1rC7gAmRr/FZPtmvgDLmBPyqpR3wfK67DR53x21JP7dgq6T0W+Inon4homoieqrttjIi+R0SHnb/XiXr9VoQ9uUsNY/pEIq1yt6FJWdzU+5k7KeAKJPU0tGwAxF9p1dPLm7tATeePukmbKXBzt2qIsXM2Sj1uxt9DUs/nANzYcNv7AdzLGNsB4F7nZ+nU5u4G2+DlH5JUqUd05a7TJ71brIT1vu+wjav8Snm6acGw2EpXj6QrrXqqPazxA7XPNLombRI2dwVl/KlGqafXMn7G2A8BnGm4+S0A7nD+fQeAt4p6/VaEzfgbx/SJJJUUfzkLwJmM1B36PlAr4gLCSz22xt/+S90dwlKX8Qft5x8Futm7Gj8ADGZtS2dUxxmRdwVslBiC2mikGqSeYrU/Nnc3McZOAYDz90bJrw+gdgCWA3r5ZUo9rq1QtKunwc4YNwPp+s3dkN05fbp6+Oefiznj72VXD1Ar4oqy02VSI7EFXK6dU7DUw5OPHg/8viGiW4loLxHtnZmZifS5+YHIZ7v6ReYOvMwJXN2V8ddriC7PNQAAEL9JREFU/B34+E0LjLUODDzj93L1SNX4jd7W+IcySSQTBC3K3vYJse2zxWX8K6Wecp+4ek4T0QQAOH9PN3sgY+x2xtgextie8fHxSBcx7Fx6LpaMQL/XOJhbJETk9I3pr4yfX/ImCKEDRTqZAGPtZTK+xxN35W61x109W0ZzGB/KRPqcmiZW6hHVP6lfpZ5vArjF+fctAL4h+fUBAMM5Z6h3KVjGX5Yo9QDefT2iptsyfr4R2Emm5dcR5TV2Mg4ff69r/Ldecz7+9b++MtLnTArO+Hngj3oWbqqhZUPPbe4S0RcB/B8Au4joBBG9E8BHAbyWiA4DeK3zs3TcjL/cvVIPYAehvsv4uQOkgxOOf5G1+9L0uoKLx87Z2xp/NqVhw2C0GX9KI6GVu7w4LGqbc7Jhwls5Jo1fWBNoxtivNLnrelGv6ZfhHJd6AgZ+yd/OqQ66iPqlYsgZHu8XXsDViX867dOu63UFF3RYexT0uo9fBEmNxPbjN3jGH73UU/WQenom4+9mhjJJEAGL5XAavyypx7YlCu7O2W0ZfzoCqcfnxnhN6qnr1eO8F7yVhQx6uUmbKOzNXYEaP+/HH7Grp7E7Z0k3kdJI+uffl0dbIkEYyiQDZ/x8Bz6qCsR2yJB6elHj58G7feBf7eOvyYDBkoJO0E0rUqtjPyDazmkImpHQOIhF1kS/Rvr2aBvOpYJr/E5LZllVro2XhSKoGFbXdOYEau6GTtwUfuUaL40/m9KQSSYCb/x3Qq9v7oogmVjd1z5KdNOKvCUz4Ng563v1VOXM92ike854yQxnU4HtnGXdkvohydrc7b2M3/7/tAv8lSb23JFcyp0JIAOl8QcnJVrjN1nk+j7Au3OulHpUxi+R4VwydMYvC1mbu7KkKz/wAq5ObHSBNf6GK56RXEpqxt/rPn4RJLWEUKnHvgqL/jNplHqKVRO5GMwVfXu02Rl/8MAvcyNUio8/huk/reBfrJ1IH0FdPZ4Zv6TAzxjreTunCJIJscWNhqCMP6UlYFoMlnO1Ys98lv/Z9+3RNpwLHvjLkvW4jGCpx7IYqqbVVRl/IkEYSGsdZfwZn9W3ZcOElljtqBjNpzAvKfCbFgNjnX3R9SN2IZTAjN8S82Xs1ok4ck8c83aBfg782VQoO2dWoh6e0sRWJ8qcKBaEfCbZ0eZuxmeHzVLV8pTuwiQFYdEF9YTpdZKCC7hE7bvw45p/7iXdQi6lpB5pDOeSWK4YgQ6eki434xft6uFSSDdl/IC9wRtJywYfGb+XdCdT6hE127XXEd2ywTCtyD38QF3G7xybZckxhdO3R9uIU727XPGf9ZeqptTsOJ3UhEo9tc3N7sr4Nw5lsC6fDv37bsuGtr16vGsYRnIpLFcMKW0b3GZgXfbl2+2I7scvLuP3kHpi0Pi7p1ZfMvUdOkd9BpmydFcPCXX1dGvG/ze/elno6VtA3eZum+rbSpOq5dG6lh7rI+4x0wi/KlEafzBEF3DpTgFX1KySeqrxtEzprjNeIm6/ngCWTtl2zrRgV0/3ZvxZrBvoJOP312HTdml5ZPx5+9iQIffoSuoJRarBDx81hmVF3pkT8JJ64nHV9e3RNuwMYwmyiSe7yk50AVe3Zvyd4lvjb/JFzmVAFfi7l2RCcMZvMEEZv/05G5YFw7RQNS3pvfiBfg78ITJ+2d/Ool093Zrxd0oyQSBq7+opN8v4JQZ+3oRPBf5gNLY3jhpxdk5npKrBYuvFD6jA77ttA/92ll65K8PV00W9eqKAiOzxiz4qd71dPbbMJDPjTyeVxh+ElOAJXIbozV3Tcud7yO7FD/Rz4M8Gm8JVdoJILi3vLUv7nB0bFq+2xL1CWms/cL1smCvm7XKU1NP9JBPiWzaIsHMm66QenvHnVcYvj4F0EgnyL/XInr4F1JweoioUezXjB2wrbNuWDU1a4rqBX0KjNuXjD4fojF9UGw1PqUdl/PJIJAhDAfr1NOvrIhLRg797OePfNpbDvlNLLR9TNrylnnQygVxKk5TxK40/DML78VtiNnfTdRl/XNO3gD4O/ICd2flt2xDHt7Po+a+9nPFfu3McT5yYx5lCteljyi1acIzm5VTv6q6Pv/c+A5HY/fiZMBlUN8TYOZN15zQf7KQyfskM5/xP4YpD6uGBX2X8wblu10YwBjx4eMbzfsZYU1cPYCcFMhq11Sp31eZuEFKCZVBdUMZfL/WojD8m7EZtwaQeqRq/z0KksPRyxv/ic0awLp/CAwe9A3/VtGCx1b34OcOS+vUojT8c7iapILlHlMaf9trcVRm/XIJM4XLH9Mks4HIvC8W6enqtgAsAtAThmp3jeODQjNv7vJ52NQyjkjp08s9WST3B4I4bUdW7hsmEjF6sl3q8Rn/Koq+PtiBTuOLI+EVLPRXDRDqZkDZDWDbX7hzHXKGKp08urrqv2dhFjqwOncrOGQ4e+IVm/ALkN7dXj8Fq8rHK+OUynPV/csdRZcelHmGbu7qFbA9m+5xrdo4DAO4/OL3qvnYZ/0guhXkJds5aAVfvfg4i2DySAwAcnV0W8vy6aXXUKLAZ7lW8knriYziXQrFq+gqspar89gbuRpBAjd+rgKlX2DCYwYvPGcEDh1br/GWDZ/zep8BILoWSbgoffcmfX8RGYi+zZ3IdAOCnR89G/tyWxWAxCBm9mKxr0uZW7sZgrujvwO9U7y75sHTGkvFLcPXInCEcB9ftGsdjz51dVYzVzqU1KqlDp/Lxh2PDYAbnjw9g79SZyJ+b7xuInsBV0k1kkgkkBFQIt6OvjzbeftfPJp5bwCW5ZQMg1sfvNYikl7hu1zgsBvzoyOyK29sV5A1LatugNP7wXDE5hr3Hznpu3ndC7ctY4AQuy3J68cdz/vX10caHsfg5uUtVEwmS674QXcDVDxn/S7eOYjibXKXzl915w82lHgBYKDUvAIsC3bSgJQhaDFnfWmfP5BgWSjoOTbeu0A4KH8cqwtVT68dv+/jj8PADfR74z9swACLgnqdOtX0sH8Ii0wEjw9XT6xl/UkvgVY6ts77Kk2f8zf7/shq1VQVNeuoHrpgcAwA8cjRaucfN+AVsuGsJQoKcyt2Y5u0CMQV+IrqRiA4S0REien8cawCA88cH8YuXbcVnfzSF5+aKLR8re9A6UF/AJc7H3+sZP2DbOqeXKthf17un3KYFBx/HKVzqMcS0/+0Hto3lsGk4g0emot3gdeU3QVdhfHpYHDGFI/2IIyINwN8CeAOAiwD8ChFdJHsdnPfeuAtagvDRb+9v+biy5EHrQJ31S2X8HXGdY+usd/e00/hldejUTUsVb4WEiHD55BgemToTac8eXhsgolcP4AR+gzmD1uM5/+IYtn4FgCOMsWcBgIi+BOAtAPbFsBZsGs7id669AJ/8/iHc8IkH0Ow7/tRCGZtHslLXxjP+j337AP7+gWcif/5jc0VsW5eP/Hm7jY3DWeyeGMan7zuCux47AQBuH55mdQzc8fU3PziCLzz8nLC1nV4sx5b19QKXT47h7idO4YZPPIBERDJsrY2GqIyf8NXHTqCsm7jivDEhr9GOOAL/OQCO1/18AsArGh9ERLcCuBUAzj33XKELuvWa87FQ0vHCYqnpY3ZsGsS1TuYoi41DGbzjqklML5WFPP+OTYP4D3u2CXnubuM9r92Ju352YsVtW0ZyGGsy1D2pJfAHN+zAodPRbhw2smPTIC6fjOfk7wVueskEfn583q3LiIqXn7sOV56/PtLn5PyX6y7Ez47b8tRbLz1HyGu0g0S1NW36gkRvB/B6xti7nJ9/A8AVjLH/2ux39uzZw/bu3StriQqFQtETENGjjLE9jbfHIS6eAFCfZm4FcDKGdSgUCkVfEkfgfwTADiI6j4jSAG4G8M0Y1qFQKBR9iXSNnzFmENHvAfgOAA3APzHGnpa9DoVCoehX4tjcBWPsHgD3xPHaCoVC0e8oA7FCoVD0GSrwKxQKRZ+hAr9CoVD0GSrwKxQKRZ8hvYArDEQ0A+BYyF/fAGC27aPiZ62sE1g7a1XrjJa1sk5g7axV9Dq3M8ZWtRxYE4G/E4hor1flWrexVtYJrJ21qnVGy1pZJ7B21hrXOpXUo1AoFH2GCvwKhULRZ/RD4L897gX4ZK2sE1g7a1XrjJa1sk5g7aw1lnX2vMavUCgUipX0Q8avUCgUijpU4FcoFIo+o6cDf7cMdW+EiLYR0X1EtJ+Iniai33duHyOi7xHRYefvdXGvFbDnJBPRz4jobufn84joYWedX3baa8e9xlEiupOIDjjv6y908fv535zP/Ski+iIRZbvhPSWifyKiaSJ6qu42z/eQbP7aObeeIKKXxbzOv3Q++yeI6GtENFp3323OOg8S0etlrbPZWuvu+yMiYkS0wflZ2nvas4G/24a6N2AAeA9jbDeAKwH8rrO29wO4lzG2A8C9zs/dwO8DqJ9G/zEAn3TWeRbAO2NZ1Ur+CsC3GWMvAvBS2OvtuveTiM4B8G4Aexhjl8BuTX4zuuM9/RyAGxtua/YevgHADufPrQD+TtIaAe91fg/AJYyxlwA4BOA2AHDOq5sBXOz8zqed2CCLz2H1WkFE2wC8FkD9QGd57yljrCf/APgFAN+p+/k2ALfFva4ma/2GcxAcBDDh3DYB4GAXrG0r7BP+NQDuBkCwKw2TXu9zTGscBnAUjlmh7vZufD/5zOkx2G3R7wbw+m55TwFMAniq3XsI4B8A/IrX4+JYZ8N9/x7AF5x/rzjvYc8B+YU431PntjthJyhTADbIfk97NuOH91D3eCYbt4CIJgFcBuBhAJsYY6cAwPl7Y3wrc/kUgPcCsJyf1wOYZ4wZzs/d8L6eD2AGwGcdSeofiWgAXfh+MsaeB/Bx2JneKQALAB5F972nnGbvYTefX78N4N+cf3fdOonozQCeZ4z9vOEuaWvt5cBPHrd1lXeViAYBfBXAHzDGFuNeTyNE9CYA04yxR+tv9nho3O9rEsDLAPwdY+wyAAV0gazjhaORvwXAeQC2ABiAfYnfSNzvaTu68TgAEX0AtpT6BX6Tx8NiWycR5QF8AMD/8Lrb4zYha+3lwN/VQ92JKAU76H+BMXaXc/NpIppw7p8AMB3X+hyuBvBmIpoC8CXYcs+nAIwSEZ/e1g3v6wkAJxhjDzs/3wn7i6Db3k8AuAHAUcbYDGNMB3AXgKvQfe8pp9l72HXnFxHdAuBNAH6NOVoJum+dF8D+0v+5c15tBfAYEW2GxLX2cuDv2qHuREQAPgNgP2PsE3V3fRPALc6/b4Gt/ccGY+w2xthWxtgk7PfvB4yxXwNwH4C3OQ/rhnW+AOA4Ee1ybroewD502fvp8ByAK4ko7xwHfK1d9Z7W0ew9/CaA33ScKFcCWOCSUBwQ0Y0A3gfgzYyxYt1d3wRwMxFliOg82BunP41jjQDAGHuSMbaRMTbpnFcnALzMOYblvacyNzlk/wHwRtg7/M8A+EDc66lb1ythX8I9AeBx588bYevn9wI47Pw9Fvda69Z8HYC7nX+fD/vkOQLgXwBkumB9lwLY67ynXwewrlvfTwB/BuAAgKcAfB5AphveUwBfhL3voMMOSO9s9h7CliX+1jm3noTtUopznUdg6+P8fPr7usd/wFnnQQBviPs9bbh/CrXNXWnvqWrZoFAoFH1GL0s9CoVCofBABX6FQqHoM1TgVygUij5DBX6FQqHoM1TgVygUij5DBX6FQqHoM1TgVygUij7j/wfT4wNX8h0qyQAAAABJRU5ErkJggg==\n" }, "metadata": { @@ -199,22 +193,22 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 7, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { - "text/plain": "" + "text/plain": "" }, "metadata": {}, - "execution_count": 62 + "execution_count": 7 }, { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { @@ -236,6 +230,47 @@ "While a lot of speed values are missing. If we look at the 100th measurement of both speed and altitude, there is clearly an inverse relation between the two i.e., higher speed at lower altitudes. " ] }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": "" + }, + "metadata": {}, + "execution_count": 14 + }, + { + "output_type": "display_data", + "data": { + "text/plain": "
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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n", + "image/png": 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\n" + }, + "metadata": { + "needs_background": "light" + } + } + ], + "source": [ + "df = pd.DataFrame(track_df)\n", + "ax = df.plot(x='Speed.value', y='GPS Altitude.value', style='.')\n", + "ax.set_title(\"GPS Altitude vs Speed\")\n", + "ax.set_xlabel(\"GPS Altitude\")\n", + "ax.set_ylabel(\"Speed\")\n", + "ax" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The above plot of speed vs altitude values shows that a range of speed values exist for a give altitude. This might be because of different time of the day. For example, people driving fast even at higher altitudes at night time. But further examination is required to better analyse this hypothesis." + ] + }, { "cell_type": "markdown", "metadata": {}, From 06d3f50ebd5a27fb0fae091543811059d99eb42b Mon Sep 17 00:00:00 2001 From: Saad Saif Date: Sun, 3 May 2020 18:03:48 +0200 Subject: [PATCH 4/4] update notebook --- examples/api_request_deckgl_ssaif.ipynb | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/examples/api_request_deckgl_ssaif.ipynb b/examples/api_request_deckgl_ssaif.ipynb index 2c17bb9..dc7a0e2 100644 --- a/examples/api_request_deckgl_ssaif.ipynb +++ b/examples/api_request_deckgl_ssaif.ipynb @@ -326,13 +326,13 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 15, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { - "text/plain": "", + "text/plain": "", "text/html": "\n \n " }, "metadata": {} @@ -343,7 +343,7 @@ "text/plain": "'/Users/saad/Documents/Geoinformatics/third-semester/FCDA/envirocar-py/examples/tracks_muenster.html'" }, "metadata": {}, - "execution_count": 57 + "execution_count": 15 } ], "source": [ @@ -387,6 +387,13 @@ "r.to_html('tracks_muenster.html', iframe_width=900)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null,