条件にpassがある関数をapplyするとNaNが返ってくる[Python][Pandas]
import pandas as pd
def func(row):
if row['A'] < 3:
return row['A'] + row['B']
else:
pass
df = pd.DataFrame({'A':[1,2,3],'B':[1,4,9],'C':[1,8,27]})
df['D'] = df.apply(func, axis=1)
>>> df
A B C D
0 1 1 1 2.0
1 2 4 8 6.0
2 3 9 27 NaN
import pandas as pd
def func(row):
if row['A'] < 3:
return row['A'] + row['B']
else:
pass
df = pd.DataFrame({'A':[1,2,3],'B':[1,4,9],'C':[1,8,27]})
df['D'] = df.apply(func, axis=1)
>>> df
A B C D
0 1 1 1 2.0
1 2 4 8 6.0
2 3 9 27 NaN
import pandas as pd
def func(row):
if row['A'] < 3:
return row['A'] + row['B']
else:
pass
df = pd.DataFrame({'A':[1,2,3],'B':[1,4,9],'C':[1,8,27]})
df['D'] = df.apply(func, axis=1)
>>> df
A B C D
0 1 1 1 2.0
1 2 4 8 6.0
2 3 9 27 NaN
0