Concatenate a list of pandas dataframes together

Concatenate a list of pandas dataframes together

You can concatenate a list of Pandas DataFrames together using the pd.concat() function. This function allows you to concatenate DataFrames along a specified axis (either rows or columns).

Here's an example of how to concatenate DataFrames vertically (along rows):

import pandas as pd # Create some sample DataFrames df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) df2 = pd.DataFrame({'A': [7, 8, 9], 'B': [10, 11, 12]}) # Create a list of DataFrames df_list = [df1, df2] # Concatenate DataFrames vertically concatenated_df = pd.concat(df_list, axis=0) print(concatenated_df)

And here's an example of how to concatenate DataFrames horizontally (along columns):

import pandas as pd # Create some sample DataFrames df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}) df2 = pd.DataFrame({'C': [7, 8, 9], 'D': [10, 11, 12]}) # Create a list of DataFrames df_list = [df1, df2] # Concatenate DataFrames horizontally concatenated_df = pd.concat(df_list, axis=1) print(concatenated_df)

In both examples, the pd.concat() function is used to concatenate the list of DataFrames. The axis parameter specifies whether to concatenate along rows (axis=0) or columns (axis=1).

Remember to have the pandas library installed (pip install pandas) before running the code.

Examples

  1. "How to concatenate a list of pandas dataframes together?"

    Description: This query seeks guidance on merging multiple pandas DataFrames stored in a list into a single DataFrame. Here's how to do it using the pd.concat() function:

    import pandas as pd # Sample dataframes df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}) df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]}) df3 = pd.DataFrame({'A': [9, 10], 'B': [11, 12]}) # List of dataframes dfs = [df1, df2, df3] # Concatenate dataframes result_df = pd.concat(dfs) print(result_df)

  2. "Python code to merge pandas dataframes in a list"

    Description: This query is about merging pandas DataFrames stored in a list. Below is a Python implementation using list comprehension and the pd.concat() function:

    import pandas as pd # Sample dataframes df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}) df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]}) df3 = pd.DataFrame({'A': [9, 10], 'B': [11, 12]}) # List of dataframes dfs = [df1, df2, df3] # Merge dataframes using list comprehension merged_df = pd.concat([df for df in dfs]) print(merged_df)

  3. "Concatenating pandas dataframes from a list in Python"

    Description: This query aims to concatenate pandas DataFrames from a list in Python. The following code snippet demonstrates how to achieve this using pd.concat():

    import pandas as pd # Sample dataframes df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}) df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]}) df3 = pd.DataFrame({'A': [9, 10], 'B': [11, 12]}) # List of dataframes dfs = [df1, df2, df3] # Concatenate dataframes concatenated_df = pd.concat(dfs) print(concatenated_df)

  4. "How to merge multiple pandas dataframes in Python?"

    Description: This query is about merging multiple pandas DataFrames in Python. Here's a code snippet demonstrating the process:

    import pandas as pd # Sample dataframes df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}) df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]}) df3 = pd.DataFrame({'A': [9, 10], 'B': [11, 12]}) # List of dataframes dfs = [df1, df2, df3] # Merge dataframes merged_df = pd.concat(dfs) print(merged_df)

  5. "Concatenating pandas dataframes stored in a list in Python"

    Description: This query is about concatenating pandas DataFrames stored in a list. Here's how to accomplish it using pd.concat():

    import pandas as pd # Sample dataframes df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}) df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]}) df3 = pd.DataFrame({'A': [9, 10], 'B': [11, 12]}) # List of dataframes dfs = [df1, df2, df3] # Concatenate dataframes concatenated_df = pd.concat(dfs) print(concatenated_df)

  6. "Python pandas code to merge multiple dataframes in a list"

    Description: This query asks for Python pandas code to merge multiple DataFrames in a list. Here's a concise implementation using pd.concat():

    import pandas as pd # Sample dataframes df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}) df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]}) df3 = pd.DataFrame({'A': [9, 10], 'B': [11, 12]}) # List of dataframes dfs = [df1, df2, df3] # Merge dataframes merged_df = pd.concat(dfs) print(merged_df)

  7. "How to concatenate pandas dataframes from a list?"

    Description: This query seeks information on concatenating pandas DataFrames from a list. Here's a code example illustrating the process:

    import pandas as pd # Sample dataframes df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}) df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]}) df3 = pd.DataFrame({'A': [9, 10], 'B': [11, 12]}) # List of dataframes dfs = [df1, df2, df3] # Concatenate dataframes concatenated_df = pd.concat(dfs) print(concatenated_df)

  8. "Python code to merge pandas dataframes stored in a list"

    Description: This query asks for Python code to merge pandas DataFrames stored in a list. Here's how to achieve it using pd.concat():

    import pandas as pd # Sample dataframes df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}) df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]}) df3 = pd.DataFrame({'A': [9, 10], 'B': [11, 12]}) # List of dataframes dfs = [df1, df2, df3] # Merge dataframes merged_df = pd.concat(dfs) print(merged_df)

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