“Pandas GroupBy anwenden Liste” Code-Antworten

Pandas GroupBy anwenden Liste

In [1]: df = pd.DataFrame( {'a':['A','A','B','B','B','C'], 'b':[1,2,5,5,4,6]})
        df

Out[1]: 
   a  b
0  A  1
1  A  2
2  B  5
3  B  5
4  B  4
5  C  6

In [2]: df.groupby('a')['b'].apply(list)
Out[2]: 
a
A       [1, 2]
B    [5, 5, 4]
C          [6]
Name: b, dtype: object

In [3]: df1 = df.groupby('a')['b'].apply(list).reset_index(name='new')
        df1
Out[3]: 
   a        new
0  A     [1, 2]
1  B  [5, 5, 4]
2  C        [6]
Lonely Leopard

Pandas GroupBy anwenden Liste

# import pandas library
import pandas as pd
  
# create a dataframe
df = pd.DataFrame({'a': ['A', 'A', 'B',
                          'B', 'B', 'C',
                          'C', 'D'], 
                    'b': [1, 2, 5,
                          3, 5, 4,
                          8, 6]})
                   
# convert values of each group
# into a list
groups = df.groupby('a')['b'].apply(list)
  
print(groups)
  
# groups store in a new 
# column called listvalues
df1 = groups.reset_index(name 
                         = 'listvalues')
# show the dataframe
df1
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