パンダのpythonでの変換値の列と分数の関係

Question

は、私は私のデータを分析するためにパンダを使用して、実行します。

df = pd.DataFrame(datas, columns=['userid', 'recency', 'frequency', 'monetary']) 


print df 
     userid recency frequency monetary 
0  47918  9   53 788778 
1  48302  85   10 232323 
2  8873  3   79 2323 
3  63158  23   23 2323232 
4  364  14   43 232323 
5  45191  1   75 224455 
6  21061  9   64 23367 
7  41356  22   55 2346777 
8  42455  14   30 23478 
9  65460  3   16 2345 

私は範囲1-5での値に値recencyfrequencyとmonetaryを変換する必要があります。出力は

 userid recency frequency monetary 
0  47918  1   2 3 
1  48302  2   1 2 
2  8873  3   4 5 
3  63158  2   2 2 
4  364  5   4 2 
5  45191  1   5 4 
6  21061  4   4 3 
7  41356  3   5 4 
8  42455  5   3 5 
9  65460  3   1 2 

どのようにそれを行うことができますか？最小限の値が1と最大5あるので、あなたがcodesとqcutが必要

THX

Answer 1

IIUC、最後の必要性は、1を追加します。

df['recency1'] = pd.qcut(df['recency'].values, 5) 
df['frequency1'] = pd.qcut(df['frequency'].values, 5) 
df['monetary1'] = pd.qcut(df['monetary'].values, 5) 
print df 
    userid recency frequency monetary recency1 frequency1 \ 
0 47918  9   53 788778  (3, 9] (37.8, 53.8] 
1 48302  85   10 232323 (22.2, 85] [10, 21.6] 
2 8873  3   79  2323  [1, 3] (66.2, 79] 
3 63158  23   23 2323232 (22.2, 85] (21.6, 37.8] 
4  364  14   43 232323  (9, 14] (37.8, 53.8] 
5 45191  1   75 224455  [1, 3] (66.2, 79] 
6 21061  9   64  23367  (3, 9] (53.8, 66.2] 
7 41356  22   55 2346777 (14, 22.2] (53.8, 66.2] 
8 42455  14   30  23478  (9, 14] (21.6, 37.8] 
9 65460  3   16  2345  [1, 3] [10, 21.6] 

       monetary1 
0 (232323, 1095668.8] 
1 (144064.2, 232323] 
2  [2323, 19162.6] 
3 (1095668.8, 2346777] 
4 (144064.2, 232323] 
5 (144064.2, 232323] 
6 (19162.6, 144064.2] 
7 (1095668.8, 2346777] 
8 (19162.6, 144064.2] 
9  [2323, 19162.6] 

df['recency'] = pd.qcut(df['recency'].values, 5).codes + 1 
df['frequency'] = pd.qcut(df['frequency'].values, 5).codes + 1 
df['monetary'] = pd.qcut(df['monetary'].values, 5).codes + 1 
print df 
    userid recency frequency monetary 
0 47918  2   3   4 
1 48302  5   1   3 
2 8873  1   5   1 
3 63158  5   2   5 
4  364  3   3   3 
5 45191  1   5   3 
6 21061  2   4   2 
7 41356  4   4   5 
8 42455  3   2   2 
9 65460  1   1   1