How to Pass a List of Series to a Pandas DataFrame?

How to Pass a List of Series to a Pandas DataFrame?

To create a Pandas DataFrame from a list of Series, you can use the pd.concat() function to concatenate the Series along a specified axis. Here's how you can do it:

import pandas as pd # Sample Series series1 = pd.Series([1, 2, 3], name='Series1') series2 = pd.Series(['A', 'B', 'C'], name='Series2') # List of Series list_of_series = [series1, series2] # Create a DataFrame by concatenating the Series along columns (axis=1) df = pd.concat(list_of_series, axis=1) # Display the DataFrame print(df)

In this example:

  1. We create two sample Series, series1 and series2.

  2. We create a list of Series called list_of_series containing these Series.

  3. We use pd.concat(list_of_series, axis=1) to concatenate the Series along columns (axis=1) to create a DataFrame.

  4. The resulting df DataFrame will have each Series as a separate column.

The resulting DataFrame will look like this:

 Series1 Series2 0 1 A 1 2 B 2 3 C

You can modify the names of the Series and the data within the Series to match your specific use case.

Examples

  1. "Pass list of series to pandas DataFrame example" Description: This code demonstrates how to pass a list of Pandas Series objects to create a DataFrame.

    import pandas as pd # Define a list of Pandas Series series_list = [pd.Series([1, 2, 3]), pd.Series([4, 5, 6]), pd.Series([7, 8, 9])] # Create a DataFrame from the list of Series df = pd.DataFrame(series_list) print(df)

  2. "Python pandas combine series into dataframe" Description: This code combines multiple Pandas Series into a DataFrame.

    import pandas as pd # Define Pandas Series series1 = pd.Series([1, 2, 3]) series2 = pd.Series([4, 5, 6]) series3 = pd.Series([7, 8, 9]) # Combine Series into a DataFrame df = pd.concat([series1, series2, series3], axis=1) print(df)

  3. "Create DataFrame from list of pandas Series" Description: This code creates a DataFrame from a list of Pandas Series.

    import pandas as pd # Define Pandas Series series1 = pd.Series([1, 2, 3]) series2 = pd.Series([4, 5, 6]) series3 = pd.Series([7, 8, 9]) # Create DataFrame from list of Series df = pd.DataFrame([series1, series2, series3]) print(df)

  4. "Pandas DataFrame from list of series" Description: This code snippet generates a DataFrame from a list of Pandas Series.

    import pandas as pd # Define Pandas Series series_list = [pd.Series([1, 2, 3]), pd.Series([4, 5, 6]), pd.Series([7, 8, 9])] # Create DataFrame from list of Series df = pd.DataFrame(series_list) print(df)

  5. "Combine pandas Series into DataFrame" Description: This code combines multiple Pandas Series into a DataFrame.

    import pandas as pd # Define Pandas Series series1 = pd.Series([1, 2, 3]) series2 = pd.Series([4, 5, 6]) series3 = pd.Series([7, 8, 9]) # Combine Series into a DataFrame df = pd.DataFrame({'Series1': series1, 'Series2': series2, 'Series3': series3}) print(df)

  6. "Pandas create DataFrame from list of series" Description: This code creates a DataFrame from a list of Pandas Series.

    import pandas as pd # Define Pandas Series series_list = [pd.Series([1, 2, 3]), pd.Series([4, 5, 6]), pd.Series([7, 8, 9])] # Create DataFrame from list of Series df = pd.DataFrame(series_list).T print(df)

  7. "Combine multiple pandas Series into DataFrame" Description: This code combines multiple Pandas Series into a DataFrame.

    import pandas as pd # Define Pandas Series series1 = pd.Series([1, 2, 3]) series2 = pd.Series([4, 5, 6]) series3 = pd.Series([7, 8, 9]) # Combine Series into a DataFrame df = pd.DataFrame({'Series1': series1, 'Series2': series2, 'Series3': series3}) print(df)

  8. "Pandas DataFrame from list of pandas Series" Description: This code creates a DataFrame from a list of Pandas Series.

    import pandas as pd # Define Pandas Series series_list = [pd.Series([1, 2, 3]), pd.Series([4, 5, 6]), pd.Series([7, 8, 9])] # Create DataFrame from list of Series df = pd.DataFrame(series_list).T print(df)

  9. "Combine pandas Series into one DataFrame" Description: This code combines multiple Pandas Series into a single DataFrame.

    import pandas as pd # Define Pandas Series series1 = pd.Series([1, 2, 3]) series2 = pd.Series([4, 5, 6]) series3 = pd.Series([7, 8, 9]) # Combine Series into a DataFrame df = pd.concat([series1, series2, series3], axis=1) print(df)

  10. "Pandas DataFrame from list of Series" Description: This code snippet creates a DataFrame from a list of Pandas Series.

    import pandas as pd # Define a list of Pandas Series series_list = [pd.Series([1, 2, 3]), pd.Series([4, 5, 6]), pd.Series([7, 8, 9])] # Create a DataFrame from the list of Series df = pd.DataFrame(series_list) print(df)

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