pandas find columns with NaN 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: find nan value in dataframe python

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

Example 5: find all nan columns pandas

nan_cols = [i for i in df.columns if df[i].isnull().any()]
print("No. of columns containing null values")
print(len(df.columns[df.isna().any()]))

print("No. of columns not containing null values")
print(len(df.columns[df.notna().all()]))

print("Total no. of columns in the dataframe")
print(len(df.columns))

Example 6: find nan values in a column pandas

df.isnull().sum().sum()