Выберите ряды, которые имеют значения NAN Python
df[df['column name'].isna()]
Yellowed Yacare
df[df['column name'].isna()]
df[df.isnull().any(axis=1)]df[df['Col2'].isnull()] np.count_nonzero(df.isnull().values)
np.count_nonzero(df.isnull()) # also works
# Try using a loc instead of a where:
df_sub = df.loc[df.yourcolumn == 'yourvalue']