How to append rows to a pandas DataFrame using a for loop in Python

Appending rows to a pandas.DataFrame using a for loop uses a for loop to iterates over a list of rows which ultimately results in them being appended to the DataFrame.

Solution for How to append rows to a pandas DataFrame using a for loop in Python : You can use pandas.Dataframe.append() with a list of dictionaries compiled in a for loop to append rows to a DataFrame Inside a for loop

  1. Combine the column names as keys with the column data as values using zip(keys, values)
  2. Create a dictionary with the zipped iterator using dict(zipped)
  3. Store the created dictionary in a list

Then, append the list of dictionaries—called data—to the existing DataFrame using pandas.Dataframe.append(data, ignore_index=None). Set ignore_index as True to preserve the DataFrame indices.


how-to-append-rows-to-a-pandas-dataframe-using-a-for-loop-in-python