Question

所有

我有一个数据框，我已对其进行分组和排序，看起来像这样

 brkrcy=data[data['upload_date']==Date].groupby(['CPTY','currency'], as_index=False).agg({"Gross Loan Amount": "sum"})
    brkrcy=brkrcy.sort_values(by=['CPTY', 'Gross Loan Amount'], ascending=[True, False])
    brkrcy = brkrcy.set_index('CPTY')

双重排名

       currency  Gross Loan Amount
CPTY                              
BARC        RUB       2.178780e+07
BARC        ZAR       7.779714e+07
BARC        JPY       1.227676e+09
BARC        EUR       3.301354e+09
BARC        GBP       5.002534e+09
BARC        USD       6.667446e+09
BMON        CAD       2.018614e+08
BMON        GBP       4.096820e+08
BMON        USD       6.510318e+08
BNP         CAD       2.349053e+08
BNP         JPY       1.523716e+09
BNP         GBP       3.234833e+09
BNP         USD       4.576760e+09
BNP         EUR       4.935927e+09
CALIP       EUR       1.832390e+07
CALIP       USD       1.448161e+09
CALIP       GBP       3.492144e+09
CANTR       USD       3.987880e+08
CIBC        CAD       6.851792e+08
CIBC        GBP       8.861776e+08
CITI        CZK       7.549203e+06

brkrcy.set_index('currency',append=True)['Gross Loan Amount'].unstack().plot(kind="bar",stacked=True,figsize=(10,8))
plt.ylabel('Gross Loan Amount in Billions')
plt.show()

正如您所看到的那样，尽管它是双重排名，但堆积条形图并未按降序排列。我该怎么改变呢？

Answer 1

假设您的意思是堆积图上的下降条，请考虑添加一个帮助总计列，该列按每个 CPTY 对绘图数据框的所有货币字段求和。使用此新列按降序对数据进行排序，然后在绘制之前删除辅助列：

plot_df = brkrcy.set_index('currency',append=True)['Gross Loan Amount'].unstack()
plot_df['Total'] = plot_df.apply('sum', axis=1)          # HELPER COLUMN

plot_df.sort_values('Total', ascending=False)\
       .drop(columns=['Total'])\
       .plot(kind="bar", stacked=True, figsize=(10,8))

plt.ylabel('Gross Loan Amount in Billions')
plt.show()

使用随机数据进行演示，希望能够复制您的实际数据（播种以获得再现性）：

数据

import numpy as np import pandas as pd np.random.seed(42018) CPTY = ["BARC", "BMON", "CALIP", "BNP", "CIBC", "CANTR", "CITI"] currency = ["RUB", "ZAR", "JPY", "EUR", "GBP", "USD", "CAD"] data = pd.DataFrame({'CPTY': ["".join(np.random.choice(CPTY,1)) for _ in range(50)], 'currency': ["".join(np.random.choice(currency,1)) for _ in range(50)], 'Gross Loan Amount': abs(np.random.randn(50))*10000000 }, columns = ['CPTY','currency','Gross Loan Amount']) brkrcy = data.groupby(['CPTY','currency'], as_index=False).agg({"Gross Loan Amount": "sum"})\ .sort_values(by=['CPTY', 'Gross Loan Amount'], ascending=[True, False])\ .set_index('CPTY') print(brkrcy.head(10)) # currency Gross Loan Amount # CPTY # BARC JPY 3.854475e+07 # BARC RUB 9.201352e+06 # BARC USD 7.744341e+06 # BMON EUR 2.780286e+07 # BMON JPY 2.365747e+07 # BMON CAD 8.523440e+06 # BNP RUB 1.268484e+07 # BNP GBP 8.149266e+06 # BNP EUR 7.575220e+06 # CALIP USD 3.387214e+07

<强>剧情

import matplotlib.pyplot as plt plot_df = brkrcy.set_index('currency',append=True)['Gross Loan Amount'].unstack() plot_df['Total'] = plot_df.apply('sum', axis=1) plot_df.sort_values('Total', ascending=False)\ .drop(columns=['Total'])\ .plot(kind="bar", stacked=True, figsize=(10,8)) plt.ylabel('Gross Loan Amount in Billions') plt.show()

排列堆积条形图

1 个答案: