How to create a pandas DataFrame from columns in other DataFrames in Python

Creating a pandas.DataFrame from other DataFrames takes one or more columns from each of the original DataFrames and creates a new DataFrame with their values.

Solution for How to create a pandas DataFrame from columns in other DataFrames in Python : You can use pandas.concat() to create a DataFrame from other DataFrames Call pandas.concat(DataFrames, axis=0, keys=None) with DataFrames as [DataFrame1[“column”], DataFrame2[“column”]], axis set to 1, and keys set to [“DataFrame1”, “DataFrame2”] to create a new DataFrame with columns “DataFrame1” and “DataFrame2”, using the values of column from DataFrame1 and DataFrame2 .


how-to-create-a-pandas-dataframe-from-columns-in-other-dataframes-in-python