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"" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "State wise recovery cases of COVID-19 in USA" }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Province/State" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Active" } } } }, "text/html": [ "
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import plotly.express as px\n", " \n", "covid_data= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/03-18-2020.csv')\n", "covid_data['Active'] = covid_data['Confirmed'] - covid_data['Deaths'] - covid_data['Recovered']\n", "us_data = covid_data[covid_data['Country/Region']=='US'].drop(['Country/Region','Latitude', 'Longitude'], axis=1)\n", "us_data = us_data[us_data.sum(axis = 1) > 0]\n", " \n", "us_data = us_data.groupby(['Province/State'])['Active'].sum().reset_index()\n", "us_data_death = us_data[us_data['Active'] > 0]\n", "state_fig = px.bar(us_data_death, x='Province/State', y='Active', title='State wise recovery cases of COVID-19 in USA', text='Active')\n", "state_fig.show()\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.1" } }, "nbformat": 4, "nbformat_minor": 2 }