Data wrangling

Pandas DataFrame drop rows with missing values

Drop rows with missing values (NaN) in Pandas DataFrame.

pandasmissing-valuesdrop-nan

Required packages

You need below packages to use the code generated by recipe. All packages are automatically installed in MLJAR Studio.

pandas>=1.0.0

scikit-learn>=1.5.0

Interactive recipe

You can use below interactive recipe to generate code. This recipe is available in MLJAR Studio.

In the below recipe, we assume that you have following variables available in your notebook:

  • df_1 (type DataFrame)
  • df_2 (type DataFrame)

Python code

# Python code will be here

Code explanation

Drop rows with missing values and assign DataFrame to itself.

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Fill missing values