Solution for SpecificationError: nested renamer is not supported while agg() along with groupby()

Question

def stack_plot(data, xtick, col2=\'project_is_approved\', col3=\'total\'):
    ind = np.arange(data.shape[0])

    plt.figure(figsize=(20,5))
    p1 = plt.bar(ind, d         


        

Answer 1

Not a very elegant solution but this one works. As renaming the column is deprecated with the way you are doing. But there is work around. Create a temporary variable 'approved' , store the col2 in it. Because when you apply agg function , the original column values will change with column name. You can preserve the column name but then values in those column will change. So in order to preserve the original dataframe and to have two new columns with desired names, you can use the following code.

approved = temp[col2]
temp = pd.DataFrame(project_data.groupby(col1)[col2].agg([('Avg','mean'),('total','count')]).reset_index())
temp[col2] = approved

P.S : Seems like an assignment of AAIC, I am working on same :)