pandas find nan values in column code example

Example 1: dataframe find nan rows

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

Example 2: find position of nan pandas

# position of NaN values in terms of index
df.loc[pandas.isna(df["b"]), :].index

# position of NaN values in terms of rows that cotnain NaN
df.loc[pandas.isna(df["b"]), :]

Example 3: find nan values in a column pandas

df.isnull().values.any()

Example 4: 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]

Example 5: find nan values in a column pandas

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

Example 6: find nan value in dataframe python

# to mark NaN column as True
df['your column name'].isnull()