How to combine two rows of Header into one

Hi @GSung
,

For most operations like this to perform a simple data transformation you could use a prepare recipe, which has many built in data transformations. This is normally where you would go to rename individual columns and perform similar steps.

I don't think your particular transformation is handled automatically here, so if you wanted to automate combing the dataset header row with the first row of data, I think you can create a Python recipe like this:

import dataiku
import pandas as pd, numpy as np
from dataiku import pandasutils as pdu

# Read recipe inputs
merge_column_headers = dataiku.Dataset("merge_column_headers")
merge_column_headers_df = merge_column_headers.get_dataframe()

for col in merge_column_headers_df.columns:
    # get first row value for this specific column
    first_row = merge_column_headers_df.iloc[0][col]
    new_column_name = col + " " + first_row 
    # rename the column with the existing column header plus the first row of that column's data 
    merge_column_headers_df.rename(columns={col: new_column_name}, inplace=True)

# delete first row of data, now that it's merged into the header 
merge_column_headers_df = merge_column_headers_df.iloc[1:]

# Write recipe outputs back to dataset 
merge_column_headers = dataiku.Dataset("merge_column_headers")
merge_column_headers.write_with_schema(merge_column_headers_df)

This modifies a single dataset, in this example called "merge_column_header" and appends the values from the first row of data to the header row, and then removes the first row of data from the dataset.

Here's the before an after:

 

Thanks,

Sarina