How we can add a row before the dataframe in pandas

In pandas add row to dataframe we can use:

df.loc[len(df)] = [4, 'd'] 

#4 is the value of column 'A'

Consider the following examples: 'label' in A1, 'time' in A2, and data in A3, B3, and C3. To insert a dummy row before the data frame begins use the snippet below.

Code:

#renaming Index to time

df.index.name = 'time'

df.index +=1

#resets and convert the old index

df.reset_index(inplace=True)

#it will create a multi-index where the first is an empty string and the second level is original column names

df.columns = pd.MultiIndex.from_tuples(zip([' ']*256, df))

#saves the dataframe to csv

df.to_csv(values["-OUTPUT_PATH-"]+'/converted.csv', index=False)

This above snippet will do the required work.