Append DataFrames to each other

Introduction

To append a DataFrame to a blank DataFrame in Pandas, you can use the concat() function. The concat() function concatenates two or more DataFrames along a particular axis.

Here is an example of how to create a blank DataFrame and append another DataFrame to it:

import pandas as pd

# create a blank DataFrame
blank_df = pd.DataFrame()

# create a DataFrame to append
data = {'col1': [1, 2], 'col2': [3, 4]}
df_to_append = pd.DataFrame(data)

# append the DataFrame to the blank DataFrame
result = pd.concat([blank_df, df_to_append])

print(result)

In the above example, we first create a blank DataFrame called blank_df. Then, we create a DataFrame called df_to_append with some data. Finally, we use the concat() function to append df_to_append to blank_df, and store the result in a variable called result.

The output of the above code will be:

   col1  col2
0     1     3
1     2     4

This shows that the df_to_append DataFrame has been successfully appended to the blank_df DataFrame.