Python Pandas - 在Groupby DF上將列轉換為百分比

Question

我有一個由groupby創建的數據框：

hmdf = pd.DataFrame(hm01)
new_hm01 = hmdf[['FinancialYear','Month','FirstReceivedDate']]

hm05 = new_hm01.pivot_table(index=['FinancialYear','Month'], aggfunc='count')
vals1 = ['April    ', 'May      ', 'June     ', 'July     ', 'August   ', 'September', 'October  ', 'November ', 'December ', 'January  ', 'February ', 'March    ']

df_hm = new_hm01.groupby(['Month', 'FinancialYear']).size().unstack(fill_value=0).rename(columns=lambda x: '{}'.format(x))
df_hml = df_hm.reindex(vals1)

DF看起來像這樣：

FinancialYear   2014/2015   2015/2016   2016/2017   2017/2018
Month               
April               34          24          22          20
May                 29          26          21          25
June                19          39          22          20
July                23          39          18          20
August              36          30          34           0
September           35          23          41           0
October             36          37          27           0
November            38          31          30           0
December            36          41          23           0
January             34          30          35           0
February            37          26          37           0
March               36          31          33           0

列名來自變量(threeYr,twoYr,oneYr,Yr) ，我想轉換數據幀，以便數字是每列總數的百分比，但我不能讓它工作。

這就是我要的：

FinancialYear       2014/2015   2015/2016   2016/2017   2017/2018
Month               
April                   9%          6%          6%         24%
May                     7%          7%          6%         29%
June                    5%         10%          6%         24%
July                    6%         10%          5%         24%
August                  9%          8%         10%          0%
September               9%          6%         12%          0%
October                 9%         10%          8%          0%
November               10%          8%          9%          0%
December                9%         11%          7%          0%
January                 9%          8%         10%          0%
February                9%          7%         11%          0%
March                   9%          8%         10%          0%

有人可以幫我這么做嗎？

編輯：我嘗試了在這個鏈接上找到的響應： pandas將列轉換為總數的百分比 .....我無法讓它為我的數據幀工作+它不能很好地解釋（對我來說）如何讓它工作任何DF。 我認為John Galt的反應比回應更好（我的觀點）。

Answer 1

這是一種方式

In [1371]: (100. * df / df.sum()).round(0)
Out[1371]:
               2014/2015  2015/2016  2016/2017  2017/2018
FinancialYear
April                9.0        6.0        6.0       24.0
May                  7.0        7.0        6.0       29.0
June                 5.0       10.0        6.0       24.0
July                 6.0       10.0        5.0       24.0
August               9.0        8.0       10.0        0.0
September            9.0        6.0       12.0        0.0
October              9.0       10.0        8.0        0.0
November            10.0        8.0        9.0        0.0
December             9.0       11.0        7.0        0.0
January              9.0        8.0       10.0        0.0
February             9.0        7.0       11.0        0.0
March                9.0        8.0       10.0        0.0

並且，如果你想要舍入到1位小數，值為'％'的字符串

In [1375]: (100. * df / df.sum()).round(1).astype(str) + '%'
Out[1375]:
              2014/2015 2015/2016 2016/2017 2017/2018
FinancialYear
April              8.7%      6.4%      6.4%     23.5%
May                7.4%      6.9%      6.1%     29.4%
June               4.8%     10.3%      6.4%     23.5%
July               5.9%     10.3%      5.2%     23.5%
August             9.2%      8.0%      9.9%      0.0%
September          8.9%      6.1%     12.0%      0.0%
October            9.2%      9.8%      7.9%      0.0%
November           9.7%      8.2%      8.7%      0.0%
December           9.2%     10.9%      6.7%      0.0%
January            8.7%      8.0%     10.2%      0.0%
February           9.4%      6.9%     10.8%      0.0%
March              9.2%      8.2%      9.6%      0.0%