EDA_DataCleaning

df.head()

df.describe()

df.info()

df.value_counts()

df.remove_na()

df.dropna()

df.clean()

df.fillna(0)

df.fillna(0)

df.dropna(0)

df.replace(0)

df.nullfill(0)

Boolean DataFrame

Number of nulls per row

Number of nulls per column

Total null count in the DataFrame

df['age'].fillna('median')

df['age'].fillna(df['age'].mean())

df['age'].fillna(df['age'].median())

df.fill_missing(df['age'])

df.countna()

df.isnull().sum()

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

df.check().na()

df.fillna(method='backward')

df.fillna(method='forward')

df.fillna(method='ffill')

df.ffill

()

df.fillna(method='bfill')

df.backfill()

df.bfill()

df.reversefill()

Drops rows where any value is missing

Drops rows where all values are missing

Drops columns where any value is missing

Drops all missing values only in numeric columns

df.drop(columns_with_null=True)

df.dropna(axis=1)

df.drop(axis=0)

df.columns.dropna()