Final answer:
In Python, you can combine multiple dataframes using the concat function from the pandas library.
Step-by-step explanation:
Combining multiple dataframes in Python can be done using the concat function from the pandas library. The concat function combines dataframes vertically or horizontally based on the axis parameter. To combine dataframes vertically, set axis=0. To combine dataframes horizontally, set axis=1.
Here's an example:
- Import the pandas library: import pandas as pd
- Create the dataframes you want to combine: df1 = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})
df2 = pd.DataFrame({'A': [5, 6], 'B': [7, 8]}) - Concatenate the dataframes: combined_df = pd.concat([df1, df2], axis=0) (for vertical concatenation)
- Print the combined dataframe: print(combined_df)