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Select rows with nan pandas

Dataframe find nan rows

df[df.isnull().any(axis=1)]

15

Source: datatofish.com

Select rows which have nan values python

df[df['column name'].isna()]

3

Source: datatofish.com

Count rows with nan pandas

 np.count_nonzero(df.isnull().values)   
 np.count_nonzero(df.isnull())           # also works

2

Source: stackoverflow.com

Pandas where retuning NaN

# Try using a loc instead of a where:
df_sub = df.loc[df.yourcolumn == 'yourvalue']

2

Source: stackoverflow.com

Select rows with nan pandas

df[df['Col2'].isnull()]

0

Source: stackoverflow.com

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