PandasdrillWide to long with melt
A pandas exercise from Pandasdrill. Solve it with a Python editor in your browser running real pandas, and it is checked the moment you submit.
The task
Turn `wide` (one column per quarter) into a long table with the columns `store`, `quarter` and `sales`.
What this exercise teaches
melt unpivots: every quarter column becomes rows, with the old column name in quarter and the cell in sales. Rows come out quarter by quarter, which is the order checked here.
A hint if you get stuck
melt keeps the id_vars columns and turns the other columns into name and value pairs. var_name and value_name set the new column names.
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