Bug Report Pandas #38736

bug_report.py

#as Reported in: https://github.com/pandas-dev/pandas/issues/38736

import pandas as pd
from pandas import Timestamp
import matplotlib.pyplot as plt

a= {'Argentina': {Timestamp('2020-11-17 00:00:00'): 56.0},
 'Brazil': {Timestamp('2020-11-17 00:00:00'): 103.0},
 'Guatemala': {Timestamp('2020-11-17 00:00:00'): 99.0},
 'Ireland': {Timestamp('2020-11-17 00:00:00'): 53.0},
 'Italy': {Timestamp('2020-11-17 00:00:00'): 19.0},
 'Spain': {Timestamp('2020-11-17 00:00:00'): 49.0},
 'Sweden': {Timestamp('2020-11-17 00:00:00'): 42.0},
 'US': {Timestamp('2020-11-17 00:00:00'): 86.0},
 'United Kingdom': {Timestamp('2020-11-17 00:00:00'): 32.0}}

b = {'Val': {'Afghanistan_confirmed': 50886},
 'Country': {'Afghanistan_confirmed': 'Afghanistan'},
 'Population': {'Afghanistan_confirmed': 37.171922},
 'Ratio': {'Afghanistan_confirmed': 1368.9364784527418}}
doubling_df = pd.DataFrame().from_dict(a)
df = pd.DataFrame().from_dict(b)
_ = doubling_df.plot()
#plt.close('all') will solve the issue
_ = df.sort_values(by='Ratio', ascending=False)[:1]['Ratio'].plot.bar(color='blue')