dataframe find nan rows
df[df.isnull().any(axis=1)]
dataframe find nan rows
df[df.isnull().any(axis=1)]
check if a value in dataframe is nan
#return a subset of the dataframe where the column name value == NaN
df.loc[df['column name'].isnull() == True]
find nan values in a column pandas
df['your column name'].isnull().sum()
find nan value in dataframe python
# to mark NaN column as True
df['your column name'].isnull()
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