Testings2.ipynb

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   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#All the libraries needed throughout the exercises\n",
    "import numpy as np \n",
    "import pandas as pd \n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import folium\n",
    "import scipy\n",
    "import urllib\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "%matplotlib inline\n",
    "sns.set() # Set searborn as default"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "data1 = pd.read_csv(\"WEO_Data_Euro.csv\", encoding = \"ISO-8859-1\")\n",
    "data2 = pd.read_csv(\"WEO_Data_Poor.csv\", encoding = \"ISO-8859-1\")\n",
    "data3 = pd.read_csv(\"WEO_Data_others.csv\", encoding = \"ISO-8859-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "frames = [data1, data2, data3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "bigData = pd.concat(frames)\n",
    "bigData.to_csv(\"completeData.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "countryList = list(bigData.Country.unique())\n",
    "countryList.pop(19)\n",
    "countryList.pop(19)\n",
    "countryList.sort()\n",
    "years = list(bigData.columns[5:27])\n",
    "subjects = list(bigData[\"Subject Descriptor\"].unique())\n",
    "subjects = subjects[0:8]\n",
    "interestedsubjects = [subjects[2],subjects[3],subjects[5]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#function to generate figures\n",
    "def New_figure(country, subject, years):\n",
    "\n",
    "    visible = \"legendonly\"\n",
    "    fig.add_trace(\n",
    "    go.Scatter(name=country,\n",
    "               x=years,\n",
    "               y=list(bigData[(bigData[\"Country\"] == country) & (bigData[\"Subject Descriptor\"].str.contains(subject, regex=False))].iloc[0][5:27]),\n",
    "               visible=visible))\n",
    "    \n",
    "#create masks for subject visibility in the plot\n",
    "mask1 = []\n",
    "mask2 = []\n",
    "mask3 = []\n",
    "for i in range (0,len(interestedsubjects)):\n",
    "    for j in range (0,len(countryList)):\n",
    "        if i == 0:\n",
    "            mask1.append(True)\n",
    "            mask2.append(False)\n",
    "            mask3.append(False)\n",
    "        if i == 1:\n",
    "            mask1.append(False)\n",
    "            mask2.append(True)\n",
    "            mask3.append(False)\n",
    "        if i == 2:\n",
    "            mask1.append(False)\n",
    "            mask2.append(False)\n",
    "            mask3.append(True)"
   ]
  },
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       "            Plotly.purge(gd);\n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
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   ],
   "source": [
    "# Create figure\n",
    "fig = go.Figure()\n",
    "\n",
    "visibility = []\n",
    "for j in interestedsubjects:\n",
    "    for i in countryList:\n",
    "        New_figure(i,j,years)\n",
    "\n",
    "\n",
    "# Set title\n",
    "fig.update_layout(\n",
    "    title_text=interestedsubjects[0],\n",
    "    height=600,\n",
    "    hovermode = 'x'\n",
    "    )\n",
    "\n",
    "# Add range slider\n",
    "fig.update_layout(\n",
    "    xaxis=dict(\n",
    "        rangeselector=dict(),\n",
    "        rangeslider=dict(\n",
    "            visible=True),\n",
    "        type=\"date\"\n",
    "    )\n",
    ")\n",
    "# add buttons for subjects\n",
    "fig.update_layout(\n",
    "    updatemenus=[\n",
    "        dict(\n",
    "            type=\"buttons\",\n",
    "            direction=\"right\",\n",
    "            active=0,\n",
    "            x=0.226,\n",
    "            y=1.13,\n",
    "            buttons=list([\n",
    "                dict(label=\"GDP\",\n",
    "                     method=\"update\",\n",
    "                     args=[{\"visible\": mask1},\n",
    "                           {\"title\": interestedsubjects[0]}]),\n",
    "                dict(label=\"Inflation\",\n",
    "                     method=\"update\",\n",
    "                     args=[{\"visible\": mask2},\n",
    "                           {\"title\": interestedsubjects[1]}]),\n",
    "                dict(label=\"Unemployment\",\n",
    "                     method=\"update\",\n",
    "                     args=[{\"visible\": mask3},\n",
    "                           {\"title\": interestedsubjects[2]}]),\n",
    "            ]),\n",
    "        )\n",
    "    ])\n",
    "\n",
    "fig.show()"
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   "cell_type": "markdown",
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   "source": [
    "# Other Plots"
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   "execution_count": 63,
   "metadata": {},
   "outputs": [
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        "title": {
         "text": "GDP per capita average over Europe, percent change"
        },
        "uniformtext": {
         "minsize": 15,
         "mode": "hide"
        },
        "width": 500,
        "xaxis": {
         "autorange": true,
         "range": [
          2018.5,
          2021.5
         ],
         "type": "linear"
        },
        "yaxis": {
         "autorange": true,
         "range": [
          -7.255165311653117,
          5.630092140921411
         ],
         "type": "linear"
        }
       }
      },
      "image/png": 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       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
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       "\n",
       "// Listen for the clearing of the current output cell\n",
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       "if (outputEl) {{\n",
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       "\n",
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       "            </script>\n",
       "        </div>"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot for average all over europe for 2019,2020,2021\n",
    "import plotly.graph_objects as go\n",
    "import plotly.figure_factory as ff\n",
    "\n",
    "bigData = bigData.dropna(subset=[\"Subject Descriptor\"])\n",
    "\n",
    "fig2 = go.Figure()\n",
    "\n",
    "\n",
    "fig2.add_trace(\n",
    "    go.Bar(name=\"2019\",\n",
    "           x=[\"2019\"],\n",
    "           y=[pd.to_numeric(bigData[\"2019\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           text = [pd.to_numeric(bigData[\"2019\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           textposition='outside'\n",
    "          )\n",
    ")\n",
    "\n",
    "fig2.add_trace(\n",
    "    go.Bar(name=\"2020\",\n",
    "           x=[\"2020\"],\n",
    "           y=[pd.to_numeric(bigData[\"2020\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           text = [pd.to_numeric(bigData[\"2020\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           textposition='outside'\n",
    "          )\n",
    ")\n",
    "\n",
    "fig2.add_trace(\n",
    "    go.Bar(name=\"2021\",\n",
    "           x=[\"2021\"],\n",
    "           y=[pd.to_numeric(bigData[\"2021\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           text = [pd.to_numeric(bigData[\"2021\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           textposition='outside'\n",
    "          )\n",
    ")\n",
    "\n",
    "fig2.update_traces(texttemplate='%{text:.4s}', textposition='outside')\n",
    "fig2.update_layout(uniformtext_minsize=15, uniformtext_mode='hide')\n",
    "\n",
    "fig2.update_layout(\n",
    "    title_text=\"GDP per capita average over Europe, percent change\",\n",
    "    width= 500,\n",
    "    height=500,\n",
    "    hovermode = 'x',\n",
    "    margin=dict(l=20, r=20, t=30, b=20)\n",
    "    )\n",
    "\n",
    "\n",
    "fig2.show()"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
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   "source": []
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  {
   "cell_type": "code",
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   "outputs": [
    {
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",
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       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
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       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
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       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot for average all over europe for 2019,2020,2021\n",
    "import plotly.graph_objects as go\n",
    "import plotly.figure_factory as ff\n",
    "\n",
    "data1 = data1.dropna(subset=[\"Subject Descriptor\"])\n",
    "data2 = data2.dropna(subset=[\"Subject Descriptor\"])\n",
    "fig3 = go.Figure()\n",
    "\n",
    "\n",
    "fig3.add_trace(\n",
    "    go.Bar(name=\"Euro Zone\",\n",
    "           x=[\"2019\",\"2020\",\"2021\"],\n",
    "           y=[pd.to_numeric(data1[\"2019\"][data1[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(data1[\"2020\"][data1[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(data1[\"2021\"][data1[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           \n",
    "           text = [pd.to_numeric(data1[\"2019\"][data1[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(data1[\"2020\"][data1[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(data1[\"2021\"][data1[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           textposition='outside'\n",
    "          )\n",
    ")\n",
    "\n",
    "fig3.add_trace(\n",
    "    go.Bar(name=\"Emerging and developing Eurpe\",\n",
    "           x=[\"2019\",\"2020\",\"2021\"],\n",
    "           y=[pd.to_numeric(data2[\"2019\"][data2[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(data2[\"2020\"][data2[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(data2[\"2021\"][data2[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           \n",
    "           text = [pd.to_numeric(data2[\"2019\"][data2[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(data2[\"2020\"][data2[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(data2[\"2021\"][data2[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           textposition='outside'\n",
    "          )\n",
    ")\n",
    "\n",
    "fig3.update_traces(texttemplate='%{text:.4s}', textposition='outside')\n",
    "fig3.update_layout(uniformtext_minsize=15, uniformtext_mode='hide')\n",
    "\n",
    "fig3.update_layout(\n",
    "    title_text=\"GDP per capita, percent change\",\n",
    "    width= 800,\n",
    "    height=500,\n",
    "    hovermode = 'x',\n",
    "    margin=dict(l=20, r=20, t=30, b=20)\n",
    "    )\n",
    "\n",
    "\n",
    "fig3.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
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       "                        {\"responsive\": true}\n",
       "                    ).then(function(){\n",
       "                            \n",
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
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       "\n",
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       "\n",
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       "            </script>\n",
       "        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot for average all over europe for 2019,2020,2021\n",
    "import plotly.graph_objects as go\n",
    "import plotly.figure_factory as ff\n",
    "\n",
    "bigData = bigData.dropna(subset=[\"Subject Descriptor\"])\n",
    "\n",
    "fig4 = go.Figure()\n",
    "\n",
    "\n",
    "\n",
    "fig4.add_trace(\n",
    "    go.Bar(name=\"2008 fall\",\n",
    "           x=[\"2007\",\"2008\",\"2009\"],\n",
    "           y=[pd.to_numeric(bigData[\"2008\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(bigData[\"2009\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(bigData[\"2010\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           \n",
    "           text = [pd.to_numeric(bigData[\"2008\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(bigData[\"2009\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(bigData[\"2010\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           textposition='outside'\n",
    "          )\n",
    ")\n",
    "\n",
    "fig4.add_trace(\n",
    "    go.Bar(name=\"2020 Fall\",\n",
    "           x=[\"2019\",\"2020\",\"2021\"],\n",
    "           y=[pd.to_numeric(bigData[\"2019\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(bigData[\"2020\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(bigData[\"2021\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           \n",
    "           text = [pd.to_numeric(bigData[\"2019\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(bigData[\"2020\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean(),\n",
    "             pd.to_numeric(bigData[\"2021\"][bigData[\"Subject Descriptor\"].str.contains(\"domestic product per capita\", regex=False)], errors='coerce').mean()],\n",
    "           textposition='outside'\n",
    "          )\n",
    ")\n",
    "\n",
    "fig4.update_traces(texttemplate='%{text:.4s}', textposition='outside')\n",
    "fig4.update_layout(uniformtext_minsize=15, uniformtext_mode='hide')\n",
    "\n",
    "fig4.update_layout(\n",
    "    title_text=\"GDP per capita average over Europe, percent change\",\n",
    "    width= 1200,\n",
    "    height=500,\n",
    "    hovermode = 'x',\n",
    "    margin=dict(l=20, r=20, t=30, b=20)\n",
    "    )\n",
    "\n",
    "\n",
    "fig4.show()"
   ]
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