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Pandas Demystified: Unveiling the Power of Data Manipulation

Pandas Demystified: Unveiling the Power of Data Manipulation

Filtering the DataFrameFiltering the DataFrame

Filtering a pandas DataFrame refers to selecting rows from the DataFrame based on a certain condition. You can filter a DataFrame using the [] operator or the .query() method.

For example, suppose you have a DataFrame df with columns "Name", "Age", and "Gender", and you want to select all rows where the "Age" column is greater than 30. You can use the following code to filter the DataFrame:

You can also use the "&" and "|" operators to combine multiple conditions.

Task

  1. Read a csv dataset;
  2. Filter a column using the "[]" operator ;
  3. Query a column;
  4. FIlter the df using multiple conditions.

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Section 1. Chapter 4

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