TypeError: “value” parameter must be a scalar, dict or Series, but you passed a “DataFrame” in Python
0
Currently I am breaking on subjected issue. I am not sure why is it breaking and what are the amendments required.
Code:
table = df.pivot_table(values='LoanAmount', index='Self_Employed' ,columns='Education', aggfunc=np.median)
def fage(x):
return table.loc[x['Self_Employed'],x['Education']]
#Replacing missing values
df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
Output:
[15]: df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
Traceback (most recent call last):
File "<ipython-input-15-dadf94659135>", line 1, in <module>
df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
File "/home/aryabhatta/anaconda3/lib/python3.6/site-packages/pandas/core/series.py", line 3422, in fillna
**kwargs)
File "/home/aryabhatta/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py", line 5400, in fillna
'"{0}"'.format(type(value).__name__))
TypeError: "value" parameter must be a scalar, dict or Series, but you passed a "DataFrame"
python pandas
asked Nov 24 '18 at 12:55
Himanshu DoneriaHimanshu Doneria
123
add a comment |
0
Currently I am breaking on subjected issue. I am not sure why is it breaking and what are the amendments required.
Code:
table = df.pivot_table(values='LoanAmount', index='Self_Employed' ,columns='Education', aggfunc=np.median)
def fage(x):
return table.loc[x['Self_Employed'],x['Education']]
#Replacing missing values
df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
Output:
[15]: df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
Traceback (most recent call last):
File "<ipython-input-15-dadf94659135>", line 1, in <module>
df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
File "/home/aryabhatta/anaconda3/lib/python3.6/site-packages/pandas/core/series.py", line 3422, in fillna
**kwargs)
File "/home/aryabhatta/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py", line 5400, in fillna
'"{0}"'.format(type(value).__name__))
TypeError: "value" parameter must be a scalar, dict or Series, but you passed a "DataFrame"
python pandas
asked Nov 24 '18 at 12:55
Himanshu DoneriaHimanshu Doneria
123
Please do include the full traceback so we can identify where the problem arose. The last line here doesn't give us that context.
– Martijn Pieters♦
Nov 24 '18 at 13:00
Do you need this ?
– jezrael
Nov 24 '18 at 13:39
Pivot_table is of little importance here. Please provide the content of table (at least a representative fragment) and what is the expected result (for this fragment).
– Valdi_Bo
Nov 24 '18 at 16:16
there should not be any sort of error. Ya, you can exclude it for time being.
– Himanshu Doneria
Nov 24 '18 at 16:18
add a comment |
0
0
0
Currently I am breaking on subjected issue. I am not sure why is it breaking and what are the amendments required.
Code:
table = df.pivot_table(values='LoanAmount', index='Self_Employed' ,columns='Education', aggfunc=np.median)
def fage(x):
return table.loc[x['Self_Employed'],x['Education']]
#Replacing missing values
df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
Output:
[15]: df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
Traceback (most recent call last):
File "<ipython-input-15-dadf94659135>", line 1, in <module>
df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
File "/home/aryabhatta/anaconda3/lib/python3.6/site-packages/pandas/core/series.py", line 3422, in fillna
**kwargs)
File "/home/aryabhatta/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py", line 5400, in fillna
'"{0}"'.format(type(value).__name__))
TypeError: "value" parameter must be a scalar, dict or Series, but you passed a "DataFrame"
python pandas
asked Nov 24 '18 at 12:55
Himanshu DoneriaHimanshu Doneria
123
Currently I am breaking on subjected issue. I am not sure why is it breaking and what are the amendments required.
Code:
table = df.pivot_table(values='LoanAmount', index='Self_Employed' ,columns='Education', aggfunc=np.median)
def fage(x):
return table.loc[x['Self_Employed'],x['Education']]
#Replacing missing values
df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
Output:
[15]: df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
Traceback (most recent call last):
File "<ipython-input-15-dadf94659135>", line 1, in <module>
df['LoanAmount'].fillna(df[df['LoanAmount'].isnull()].apply(fage,axis=1),inplace =True)
File "/home/aryabhatta/anaconda3/lib/python3.6/site-packages/pandas/core/series.py", line 3422, in fillna
**kwargs)
File "/home/aryabhatta/anaconda3/lib/python3.6/site-packages/pandas/core/generic.py", line 5400, in fillna
'"{0}"'.format(type(value).__name__))
TypeError: "value" parameter must be a scalar, dict or Series, but you passed a "DataFrame"
python pandas
python pandas
asked Nov 24 '18 at 12:55
Himanshu DoneriaHimanshu Doneria
123
asked Nov 24 '18 at 12:55
Himanshu DoneriaHimanshu Doneria
123
edited Nov 24 '18 at 16:16
Himanshu Doneria
asked Nov 24 '18 at 12:55
Himanshu DoneriaHimanshu Doneria
123
asked Nov 24 '18 at 12:55
Himanshu DoneriaHimanshu Doneria
123
asked Nov 24 '18 at 12:55
Himanshu DoneriaHimanshu Doneria
123
123
Please do include the full traceback so we can identify where the problem arose. The last line here doesn't give us that context.
– Martijn Pieters♦
Nov 24 '18 at 13:00
Do you need this ?
– jezrael
Nov 24 '18 at 13:39
Pivot_table is of little importance here. Please provide the content of table (at least a representative fragment) and what is the expected result (for this fragment).
– Valdi_Bo
Nov 24 '18 at 16:16
there should not be any sort of error. Ya, you can exclude it for time being.
– Himanshu Doneria
Nov 24 '18 at 16:18
add a comment |
Please do include the full traceback so we can identify where the problem arose. The last line here doesn't give us that context.
– Martijn Pieters♦
Nov 24 '18 at 13:00
Do you need this ?
– jezrael
Nov 24 '18 at 13:39
Pivot_table is of little importance here. Please provide the content of table (at least a representative fragment) and what is the expected result (for this fragment).
– Valdi_Bo
Nov 24 '18 at 16:16
there should not be any sort of error. Ya, you can exclude it for time being.
– Himanshu Doneria
Nov 24 '18 at 16:18
Please do include the full traceback so we can identify where the problem arose. The last line here doesn't give us that context.
– Martijn Pieters♦
Nov 24 '18 at 13:00
Please do include the full traceback so we can identify where the problem arose. The last line here doesn't give us that context.
– Martijn Pieters♦
Nov 24 '18 at 13:00
Do you need this ?
– jezrael
Nov 24 '18 at 13:39
Do you need this ?
– jezrael
Nov 24 '18 at 13:39
Pivot_table is of little importance here. Please provide the content of table (at least a representative fragment) and what is the expected result (for this fragment).
– Valdi_Bo
Nov 24 '18 at 16:16
Pivot_table is of little importance here. Please provide the content of table (at least a representative fragment) and what is the expected result (for this fragment).
– Valdi_Bo
Nov 24 '18 at 16:16
there should not be any sort of error. Ya, you can exclude it for time being.
– Himanshu Doneria
Nov 24 '18 at 16:18
there should not be any sort of error. Ya, you can exclude it for time being.
– Himanshu Doneria
Nov 24 '18 at 16:18
add a comment |
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Please do include the full traceback so we can identify where the problem arose. The last line here doesn't give us that context.
– Martijn Pieters♦
Nov 24 '18 at 13:00
Do you need this ?
– jezrael
Nov 24 '18 at 13:39
Pivot_table is of little importance here. Please provide the content of table (at least a representative fragment) and what is the expected result (for this fragment).
– Valdi_Bo
Nov 24 '18 at 16:16
there should not be any sort of error. Ya, you can exclude it for time being.
– Himanshu Doneria
Nov 24 '18 at 16:18