Fill with the most frequently occurring value of a series
for name,sub_group in op_train.groupby('UID'):
if sub_group['geo_code'].value_counts().isnull().any():
sub_group['geo_code'].fillna(-1,inplace=True)
else: sub_group['geo_code'].fillna(sub_group['geo_code'].value_counts[:1],inplace=True)
I want to group by username, then count the geo_code
attribute of the username. If it is empty, then fill the attribute with -1, otherwise it will be filled with the most frequently occurring value of this column, but I found that there is no effect after doing this. I don’t know why.
Besides, if I replace value_counts[:1]
with index[0]
, it will return an error that IndexError: index 0 is out of bounds for axis 0 with size 0
. Can anyone help me ?
python group-by fillna
add a comment |
for name,sub_group in op_train.groupby('UID'):
if sub_group['geo_code'].value_counts().isnull().any():
sub_group['geo_code'].fillna(-1,inplace=True)
else: sub_group['geo_code'].fillna(sub_group['geo_code'].value_counts[:1],inplace=True)
I want to group by username, then count the geo_code
attribute of the username. If it is empty, then fill the attribute with -1, otherwise it will be filled with the most frequently occurring value of this column, but I found that there is no effect after doing this. I don’t know why.
Besides, if I replace value_counts[:1]
with index[0]
, it will return an error that IndexError: index 0 is out of bounds for axis 0 with size 0
. Can anyone help me ?
python group-by fillna
add a comment |
for name,sub_group in op_train.groupby('UID'):
if sub_group['geo_code'].value_counts().isnull().any():
sub_group['geo_code'].fillna(-1,inplace=True)
else: sub_group['geo_code'].fillna(sub_group['geo_code'].value_counts[:1],inplace=True)
I want to group by username, then count the geo_code
attribute of the username. If it is empty, then fill the attribute with -1, otherwise it will be filled with the most frequently occurring value of this column, but I found that there is no effect after doing this. I don’t know why.
Besides, if I replace value_counts[:1]
with index[0]
, it will return an error that IndexError: index 0 is out of bounds for axis 0 with size 0
. Can anyone help me ?
python group-by fillna
for name,sub_group in op_train.groupby('UID'):
if sub_group['geo_code'].value_counts().isnull().any():
sub_group['geo_code'].fillna(-1,inplace=True)
else: sub_group['geo_code'].fillna(sub_group['geo_code'].value_counts[:1],inplace=True)
I want to group by username, then count the geo_code
attribute of the username. If it is empty, then fill the attribute with -1, otherwise it will be filled with the most frequently occurring value of this column, but I found that there is no effect after doing this. I don’t know why.
Besides, if I replace value_counts[:1]
with index[0]
, it will return an error that IndexError: index 0 is out of bounds for axis 0 with size 0
. Can anyone help me ?
python group-by fillna
python group-by fillna
edited Nov 16 '18 at 2:25
Mihai Chelaru
2,357101323
2,357101323
asked Nov 16 '18 at 1:46
GirlGirl
12
12
add a comment |
add a comment |
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