Line plot with multiple lines for page views for survival8 (Sep 2022)

import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.pyplot import figure
import numpy as np

df_uganda = pd.read_excel('20220927.xlsx', sheet_name = 'Uganda')
df_brazil = pd.read_excel('20220927.xlsx', sheet_name = 'Brazil')
df_canada = pd.read_excel('20220927.xlsx', sheet_name = 'Canada')
df_uk = pd.read_excel('20220927.xlsx', sheet_name = 'UK')
df_kenya = pd.read_excel('20220927.xlsx', sheet_name = 'Kenya')
df_uae = pd.read_excel('20220927.xlsx', sheet_name = 'UAE')
df_germany = pd.read_excel('20220927.xlsx', sheet_name = 'Germany')
df_russia = pd.read_excel('20220927.xlsx', sheet_name = 'Russia')
df_us = pd.read_excel('20220927.xlsx', sheet_name = 'US')
df_india = pd.read_excel('20220927.xlsx', sheet_name = 'India')
df_global = pd.read_excel('20220927.xlsx', sheet_name = 'Global')

df = df_uganda.merge(df_brazil, on = 'Timestamp', how = 'inner')
df = df.merge(df_canada, on = 'Timestamp', how = 'inner')
df = df.merge(df_uk, on = 'Timestamp', how = 'inner')
df = df.merge(df_kenya, on = 'Timestamp', how = 'inner')
df = df.merge(df_uae, on = 'Timestamp', how = 'inner')
df = df.merge(df_germany, on = 'Timestamp', how = 'inner')
df = df.merge(df_russia, on = 'Timestamp', how = 'inner')
df = df.merge(df_us, on = 'Timestamp', how = 'inner')
df = df.merge(df_india, on = 'Timestamp', how = 'inner')
df = df.merge(df_global, on = 'Timestamp', how = 'inner')

df.tail()




Range 10K


figure(figsize=(16, 6), dpi=80)

plt.plot(df['Timestamp'], df['Current Views in UK'], label = "UK")
plt.plot(df['Timestamp'], df['Current Views in Kenya'], label = "Kenya")
plt.plot(df['Timestamp'], df['Current Views in UAE'], label = "UAE")

plt.xticks(rotation = 90) 
plt.legend()
plt.show()


UAE, UK and Kenya



Range 20K


figure(figsize=(16, 6), dpi=80)

plt.plot(df['Timestamp'], df['Current Views in Germany'], label = "Germany")
plt.plot(df['Timestamp'], df['Current Views in Russia'], label = "Russia")
plt.xticks(rotation = 90) 
plt.legend()
plt.show()


Germany, Russia

Tags: Python,Technology,Data Visualization,