Problem: dropna() method is returning NaN values
Having problems with the .dropna() method. I have created a new variable energy_c
which is a copy of energy
but with mont
being more or equal to 0.1
.
I then took out the columns with nothing in after printing them and then am trying to drop all rows that have NaN
values in the remaining columns. However my output is returning NaN
values even after using .dropna()
.
energy_c = energy.loc[energy.loc[:, 'mont'] >= 0.1].copy()
energy_c.columns[energy.isna().all()].tolist()
drop_cols = energy_c.loc[:,['EndDate', 'Ref', 'dis']]
energy_c.drop(drop_cols, axis=1, inplace=True)
energy_c.dropna()
print(energy_c)
Could someone advise as to what I have done wrong?
Thanks.
python pandas
add a comment |
Having problems with the .dropna() method. I have created a new variable energy_c
which is a copy of energy
but with mont
being more or equal to 0.1
.
I then took out the columns with nothing in after printing them and then am trying to drop all rows that have NaN
values in the remaining columns. However my output is returning NaN
values even after using .dropna()
.
energy_c = energy.loc[energy.loc[:, 'mont'] >= 0.1].copy()
energy_c.columns[energy.isna().all()].tolist()
drop_cols = energy_c.loc[:,['EndDate', 'Ref', 'dis']]
energy_c.drop(drop_cols, axis=1, inplace=True)
energy_c.dropna()
print(energy_c)
Could someone advise as to what I have done wrong?
Thanks.
python pandas
add a comment |
Having problems with the .dropna() method. I have created a new variable energy_c
which is a copy of energy
but with mont
being more or equal to 0.1
.
I then took out the columns with nothing in after printing them and then am trying to drop all rows that have NaN
values in the remaining columns. However my output is returning NaN
values even after using .dropna()
.
energy_c = energy.loc[energy.loc[:, 'mont'] >= 0.1].copy()
energy_c.columns[energy.isna().all()].tolist()
drop_cols = energy_c.loc[:,['EndDate', 'Ref', 'dis']]
energy_c.drop(drop_cols, axis=1, inplace=True)
energy_c.dropna()
print(energy_c)
Could someone advise as to what I have done wrong?
Thanks.
python pandas
Having problems with the .dropna() method. I have created a new variable energy_c
which is a copy of energy
but with mont
being more or equal to 0.1
.
I then took out the columns with nothing in after printing them and then am trying to drop all rows that have NaN
values in the remaining columns. However my output is returning NaN
values even after using .dropna()
.
energy_c = energy.loc[energy.loc[:, 'mont'] >= 0.1].copy()
energy_c.columns[energy.isna().all()].tolist()
drop_cols = energy_c.loc[:,['EndDate', 'Ref', 'dis']]
energy_c.drop(drop_cols, axis=1, inplace=True)
energy_c.dropna()
print(energy_c)
Could someone advise as to what I have done wrong?
Thanks.
python pandas
python pandas
edited Dec 12 '18 at 13:38
Helena Martins
936218
936218
asked Nov 15 '18 at 15:23
geds133geds133
818
818
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
dropna
is not an inplace method, try energy_c = energy_c.dropna()
.
add a comment |
Try
energy_c.dropna(inplace = True)
This does the operation inplace and returns None, according to the documentation.
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
dropna
is not an inplace method, try energy_c = energy_c.dropna()
.
add a comment |
dropna
is not an inplace method, try energy_c = energy_c.dropna()
.
add a comment |
dropna
is not an inplace method, try energy_c = energy_c.dropna()
.
dropna
is not an inplace method, try energy_c = energy_c.dropna()
.
answered Nov 15 '18 at 15:25
vlizanavlizana
1,011316
1,011316
add a comment |
add a comment |
Try
energy_c.dropna(inplace = True)
This does the operation inplace and returns None, according to the documentation.
add a comment |
Try
energy_c.dropna(inplace = True)
This does the operation inplace and returns None, according to the documentation.
add a comment |
Try
energy_c.dropna(inplace = True)
This does the operation inplace and returns None, according to the documentation.
Try
energy_c.dropna(inplace = True)
This does the operation inplace and returns None, according to the documentation.
answered Dec 12 '18 at 13:28
Lenka VranáLenka Vraná
1,1221225
1,1221225
add a comment |
add a comment |
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