text_html_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import plotly as py
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
pd.set_option('display.max_rows', None)

covid = pd.read_csv('/kaggle/input/covid19-in-india/covid_19_india.csv')

plt.figure(figsize=(23, 10))
plt.bar(covid.Date, covid.Confirmed, label='Confirmed')
plt.xlabel('Date')
plt.ylabel('Count')
plt.xticks(rotation=45)
plt.legend(frameon=True, fontsize=12)
plt.title('Confrim', fontsize=30)
plt.show()
plt.figure(figsize=(23, 10))
plt.bar(covid.Date, covid.Cured, label='Cured')
plt.xlabel('Date')
plt.ylabel('Count')
plt.xticks(rotation=90)
plt.legend(frameon=True, fontsize=12)
plt.title('Cured', fontsize=30)
plt.show()
plt.figure(figsize=(23, 10))
plt.bar(covid.Date, covid.Deaths, label='Deaths')
plt.xlabel('Date')
plt.ylabel('Count')
plt.xticks(rotation=45)
plt.legend(frameon=True, fontsize=12)
plt.title('Deaths', fontsize=30)
plt.show()