Female Industry Workers Data Visualization.ipynb

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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import warnings\n",
    "import pandas as pd\n",
    "from bokeh.io import show, output_notebook\n",
    "from bokeh.plotting import figure\n",
    "from bokeh.models import HoverTool, ColumnDataSource\n",
    "\n",
    "output_notebook()\n",
    "\n",
    "#ignore warning for now\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "#Read in csv file containing data of % of female industry workers \n",
    "#in the labor force in Colombia and United States\n",
    "data = pd.read_csv('indicator_f industry employ.csv', index_col='Countries', thousands=',')\n",
    "\n",
    "#create a dictionary from the datasource for Colombia\n",
    "sourceColombia = ColumnDataSource(\n",
    "           data= dict (\n",
    "            year = data.columns,\n",
    "            percentageColombia = data.loc['Colombia'],\n",
    "           )\n",
    "       )\n",
    "\n",
    "#create a dictionary from the datasource for the US\n",
    "sourceUS = ColumnDataSource(\n",
    "           data= dict (\n",
    "            year = data.columns,\n",
    "            percentageUS = data.loc['United States']\n",
    "           )\n",
    "       )\n",
    "\n",
    "# Create the figure: p\n",
    "p = figure(x_axis_label='Year', y_axis_label='Female industry workers (%)', \n",
    "           tools=['box_select'])\n",
    "\n",
    "# Create a scatter plot for % of female in the labor force in Colombia over the year\n",
    "colombia = p.square('year', data.loc['Colombia'], size=10, color='purple', selection_color='red', nonselection_alpha=0.1, \n",
    "         hover_fill_color='green', hover_alpha=0.5, hover_line_color='white',  source=sourceColombia)\n",
    "\n",
    "#Create a HoverTool: hoverComlombia\n",
    "hoverComlombia = HoverTool(renderers=[colombia], tooltips=[('Colombia (%):', '@percentageColombia')])\n",
    "\n",
    "#Add the hover tool to the figure p\n",
    "p.add_tools(hoverComlombia)\n",
    "\n",
    "# Create a scatter plot for % of female in the labor force in the US over the year\n",
    "us = p.circle('year', data.loc['United States'], size=10, color='orange', selection_color='red', nonselection_alpha=0.1, \n",
    "         hover_fill_color='green', hover_alpha=0.5, hover_line_color='white',  source=sourceUS)\n",
    "\n",
    "#Create a HoverTool: hoverUS\n",
    "hoverUS = HoverTool(renderers=[us],tooltips=[('US (%):', '@percentageUS')])\n",
    "\n",
    "#Add the hover tool to the figure p\n",
    "p.add_tools(hoverUS)\n",
    "\n",
    "# Specify the name of the output file and show the result\n",
    "show(p)"
   ]
  },
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