How to remove nan values in Pandas

You can remove NaN values from a Pandas DataFrame using the dropna method:

df = df.dropna()

df.dropna() returns a new DataFrame with all rows containing at least one NaN value removed.

You can also remove NaN values from a specific column:

df = df.dropna(subset=["column_name"])

df.dropna(subset=[“column_name”]) returns a new DataFrame with all rows containing at least one NaN value in the “column_name” column removed.

You can also fill NaN values with a specified value using the fillna method:

df = df.fillna(value)

df.fillna(value) returns a new DataFrame with all NaN values filled with the specified value.