Answers for "how to select nan in pandas"

dataframe find nan rows

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

find nan values in a column pandas

df.isnull().values.any()

select rows with nan pandas

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

pandas where retuning NaN

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

pandas nan values in column

df['your column name'].isnull()