image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import warnings

import matplotlib.pyplot as plt
plt.style.use('dark_background')
import warnings
warnings.filterwarnings('ignore')
import seaborn

train_data = pd.read_csv('/kaggle/input/covid19-global-forecasting-week-4/train.csv')
test_data = pd.read_csv('/kaggle/input/covid19-global-forecasting-week-4/test.csv')

train_data.rename(columns={'Country_Region': 'Country'}, inplace=True)
test_data.rename(columns={'Country_Region': 'Country'}, inplace=True)
train_data.rename(columns={'Province_State': 'Province'}, inplace=True)
test_data.rename(columns={'Province_State': 'Province'}, inplace=True)

india = train_data.loc[train_data['Country'] == 'India']
plt.figure(figsize=(20, 10))
plt.bar(india.Date, india.ConfirmedCases)
plt.bar(india.Date, india.Fatalities)
plt.title('INDIA Circumstances')
plt.xticks(rotation=90)
plt.show()