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update plotting
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nickeubank committed Oct 16, 2023
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Binary file modified docs/html/.doctrees/environment.pickle
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"\n",
"```python\n",
"assert set(results.keys()) == {\n",
" \"ex6_merge_type\",\n",
" \"ex6_validate_keyword\",\n",
" \"ex10_merged_successfully\",\n",
" \"ex16_num_obs\",\n",
" \"ex17_drug_change\",\n",
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"Create a pandas dataframe from the \"Datasaurus.txt\" file using the code: "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2023-10-16T18:09:32.876182Z",
"iopub.status.busy": "2023-10-16T18:09:32.876087Z",
"iopub.status.idle": "2023-10-16T18:09:33.613880Z",
"shell.execute_reply": "2023-10-16T18:09:33.613555Z"
}
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"pd.set_option(\"mode.copy_on_write\", True)\n",
"\n",
"df = pd.read_csv(\n",
" \"https://raw.githubusercontent.com/nickeubank/practicaldatascience\"\n",
" \"/master/Example_Data/Datasaurus.txt\",\n",
" delimiter=\"\\t\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
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2 changes: 1 addition & 1 deletion docs/html/_sources/exercises/Exercise_merging.ipynb.txt
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Expand Up @@ -40,7 +40,7 @@
"\n",
"```python\n",
"assert set(results.keys()) == {\n",
" \"ex6_merge_type\",\n",
" \"ex6_validate_keyword\",\n",
" \"ex10_merged_successfully\",\n",
" \"ex16_num_obs\",\n",
" \"ex17_drug_change\",\n",
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18 changes: 18 additions & 0 deletions docs/html/_sources/exercises/Exercise_plotting_part1.ipynb.txt
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Expand Up @@ -16,6 +16,24 @@
"Create a pandas dataframe from the \"Datasaurus.txt\" file using the code: "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"pd.set_option(\"mode.copy_on_write\", True)\n",
"\n",
"df = pd.read_csv(\n",
" \"https://raw.githubusercontent.com/nickeubank/practicaldatascience\"\n",
" \"/master/Example_Data/Datasaurus.txt\",\n",
" delimiter=\"\\t\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
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2 changes: 1 addition & 1 deletion docs/html/exercises/Exercise_merging.html

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2 changes: 1 addition & 1 deletion docs/html/exercises/Exercise_merging.ipynb
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Expand Up @@ -40,7 +40,7 @@
"\n",
"```python\n",
"assert set(results.keys()) == {\n",
" \"ex6_merge_type\",\n",
" \"ex6_validate_keyword\",\n",
" \"ex10_merged_successfully\",\n",
" \"ex16_num_obs\",\n",
" \"ex17_drug_change\",\n",
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13 changes: 12 additions & 1 deletion docs/html/exercises/Exercise_plotting_part1.html

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25 changes: 25 additions & 0 deletions docs/html/exercises/Exercise_plotting_part1.ipynb
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Expand Up @@ -16,6 +16,31 @@
"Create a pandas dataframe from the \"Datasaurus.txt\" file using the code: "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2023-10-16T18:09:32.876182Z",
"iopub.status.busy": "2023-10-16T18:09:32.876087Z",
"iopub.status.idle": "2023-10-16T18:09:33.613880Z",
"shell.execute_reply": "2023-10-16T18:09:33.613555Z"
}
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"pd.set_option(\"mode.copy_on_write\", True)\n",
"\n",
"df = pd.read_csv(\n",
" \"https://raw.githubusercontent.com/nickeubank/practicaldatascience\"\n",
" \"/master/Example_Data/Datasaurus.txt\",\n",
" delimiter=\"\\t\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
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535 changes: 0 additions & 535 deletions docs/html/exercises/Solutions_groupby.html

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262 changes: 0 additions & 262 deletions docs/html/exercises/Solutions_merging.html

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230 changes: 0 additions & 230 deletions docs/html/exercises/Solutions_reshaping.html

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2 changes: 1 addition & 1 deletion docs/html/searchindex.js

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2 changes: 1 addition & 1 deletion source/exercises/Exercise_merging.ipynb
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Expand Up @@ -40,7 +40,7 @@
"\n",
"```python\n",
"assert set(results.keys()) == {\n",
" \"ex6_merge_type\",\n",
" \"ex6_validate_keyword\",\n",
" \"ex10_merged_successfully\",\n",
" \"ex16_num_obs\",\n",
" \"ex17_drug_change\",\n",
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18 changes: 18 additions & 0 deletions source/exercises/Exercise_plotting_part1.ipynb
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Expand Up @@ -16,6 +16,24 @@
"Create a pandas dataframe from the \"Datasaurus.txt\" file using the code: "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"pd.set_option(\"mode.copy_on_write\", True)\n",
"\n",
"df = pd.read_csv(\n",
" \"https://raw.githubusercontent.com/nickeubank/practicaldatascience\"\n",
" \"/master/Example_Data/Datasaurus.txt\",\n",
" delimiter=\"\\t\",\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
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