如何在Python的面板数据框中创建排序值的条形图

Question

I have a data frame (quarterly national account data for different countries in the OECD) that is a panel with indexes country and time. I want to create a bar chart with the rates of growth of GDP across countries for a given date with country names as xticks...

So far I have been able to create a chart with sorted values, but I am not able to create sorted country names as xticks

quant = quant.sort_values('rGDP_Chg', ascending = False)

#print(quant.rGDP_Chg[:, '2019-Q1'])

ind = np.argsort(quant.rGDP_Chg[:, '2019-Q1'])

print(ind)

plt.bar(ind, quant.rGDP_Chg[:, '2019-Q1'])

plt.show()

Answer 1

Using some dummy data:

import pandas as pd
import matplotlib.pyplot as plt

data = [
    ['B', 5, '2019-Q1'],
    ['A', 2, '2019-Q1'],
    ['A', 3, '2019-Q2'],
]
columns = ['Country', 'Growth', 'Date']
df = pd.DataFrame(data=data, columns=columns)

df[df['Date'] == '2019-Q1'].sort_values(['Country']).plot(x='Country', y='Growth', kind='bar')      
plt.show()

Result: