dual_axis

1.py

import pandas as pd
import matplotlib.pyplot as plt


fig, ax = plt.subplots(figsize=(12,5))
ax2 = ax.twinx()
ax.set_title('GDP per capita ($) and GDP growth rate')
ax.set_xlabel('Year')
ax.plot(gdp['date'], gdp[' GDP Per Capita (US $)'], color='green', marker='x')
ax2.plot(gdp['date'], gdp[' Annual Growth Rate (%)'], color='red', marker='o')
ax.set_ylabel('GDP Per Capita (US $)')
ax2.set_ylabel('Annual Growth Rate (%)')
ax.legend(['GDP Per Capita (US $)'])
ax2.legend(['Annual Growth Rate (%)'], loc='upper center')
ax.set_xticks(gdp['date'].dt.date)
ax.set_xticklabels(gdp['date'].dt.year, rotation=90)
ax.yaxis.grid(color='lightgray', linestyle='dashed')
plt.tight_layout()
plt.show()

2.py

nifty = pd.read_csv('nifty.csv', 
                    usecols=['Date', 'Close', 'Volume'])

nifty['Date'] = pd.to_datetime(nifty['Date'])
nifty_2021 = nifty.loc[nifty['Date'] >= '2021-07-01'].copy()
nifty_2021['Volume'] = nifty_2021['Volume']/1000


fig, ax = plt.subplots(figsize=(12,5))
ax.set_title('Nifty')
ax2 = ax.twinx()
nifty_2021.plot(x='Date', y='Volume', kind='bar', ax=ax, alpha=0.2, color='black')
ax.set_xticklabels(nifty_2021['Date'].dt.date, fontsize=8)
ax.get_legend().remove()
ax2.plot(ax.get_xticks(), nifty_2021['Close'], color='black')
ax.set_ylabel('Volume')
ax.set_yticks([0, 3000])
ax2.set_ylabel('Closing price')
plt.tight_layout()
plt.show()