How to convert Polars DataFrames to pandas DataFrames

Polars is a Rust-based DataFrame library for Python, offering scalable data handling as an alternative to pandas. With features like parallel processing and memory optimization, it excels in speed. Its DataFrame and Series structures allow seamless, efficient, and chained data transformations.

Import the library

Firstly, we import the polars library as follows:

import polars as pl
Import polars

Create a DataFrame in polars

Let’s create a Polars DataFrame for the Books such as English, Science, and Math. We will add their Prices as follows:

import polars as pl
polars_df = pl.DataFrame(
    {"Books": ["English", "Science", "Math"], "Prices": [200, 500, 600]}
)
print(polars_df)

Convert the polars DataFrame to pandasDataFrame

After creating the polars DataFrame, we will import the pandas library and use a single line of code to convert it to a pandas DataFrame. Let’s write the code below:

import polars as pl
import pandas as pd
# Create a Polars DataFrame
polars_df = pl.DataFrame(
    {"Books": ["English", "Science", "Math"], "Prices": [200, 500, 600]}
)
# Convert polars DataFrame to pandas DataFrame
pandas_df = polars_df.to_pandas()
# Display the pandas DataFrame
print(pandas_df)

Explanation

  • Line 2: Import the pandas library.

  • Line 9: Convert the polars DataFrame to pandas DataFrame.

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