Create single pandas dataframe from a list of dataframes

Question

I have a list of about 25 dfs and all of the columns are the same. Although the row count is different, I am only interested in the first row of each df. How can I iterate through the list of dfs, copy the first row from each and concatenate them all into a single df?

Answer 1

Select first row by position with DataFrame.iloc and [[0]] for one row DataFrames and join together by concat :

df = pd.concat([x.iloc[[0]] for x in dfs], ignore_index=True)

Or use DataFrame.head for one row DataFrame s:

df = pd.concat([x.head(1) for x in dfs], ignore_index=True)