matplotlib_dual_graph_with_value_indication

import matplotlib.pyplot as plt
import pandas as pd
import datetime as dt

df = pd.DataFrame(columns=['Sales'],
                index=[dt.datetime(2022,1,1), dt.datetime(2022,1,2), dt.datetime(2022,1,3), dt.datetime(2022,1,4)])
df['Sales'] = [100,200,500,-100]
df['Change in %'] = df.pct_change()
#df = df.fillna(0)
print(df)

import matplotlib.pyplot as plt
fig, ax = plt.subplots()
plt.xticks(rotation=60)

ax.bar(df.index, df['Sales'], alpha=0.5)
ax.set_ylabel('Sales')

ax2 = ax.twinx()
ax2.plot(df['Change in %'], 'o-', color='red')

for x, y in zip(df.index, df['Change in %']):
    ax2.text(x, y+y*0.1, y)

for x, y in zip(df.index, df['Sales']):
    ax.text(x-dt.timedelta(hours=8), y-y*0.3, y, color='white')

plt.show()