find nan values in a column pandas
df.isnull().values.any()
find nan values in a column pandas
df.isnull().values.any()
represent NaN with pandas in python
import pandas as pd
if pd.isnull(float("Nan")):
print("Null Value.")
show columns with nan pandas
In [71]: df
Out[71]:
a b c
0 NaN 7.0 0
1 0.0 NaN 4
2 2.0 NaN 4
3 1.0 7.0 0
4 1.0 3.0 9
5 7.0 4.0 9
6 2.0 6.0 9
7 9.0 6.0 4
8 3.0 0.0 9
9 9.0 0.0 1
In [72]: df.isna().any()
Out[72]:
a True
b True
c False
dtype: bool
pandas take entries from other column if column is nan
df.Temp_Rating.fillna(df.Farheit, inplace=True)
del df['Farheit']
df.columns = 'File heat Observations'.split()
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