How to sort a dataframe with the first occurences of each unique element in a column?
Solution with ordered Categorical by first values of fehmi column, so possible use DataFrame.sort_values:
df['fehmi'] = pd.Categorical(df['fehmi'], ordered=True, categories=df['fehmi'].unique())df = df.sort_values('fehmi')print (df) necmi fehmi0 0 trial3 15 trial1 3 error6 8 error2 14 manifest4 2 no7 2 no8 -1 no5 71 only
Not the most elegant solution, but relies on creating indices and rejoining on original df.
ordering_df = df.reset_index().groupby("fehmi").first().reset_index()[["fehmi", "index"]]result_df = df.merge(ordering_df, how="left", on="fehmi").sort_values(["index", "necmi"])[["necmi", "fehmi"]]necmi fehmi0 trial15 trial3 error8 error14 manifest-1 no2 no2 no71 only