Pandas Representative Sampling Across Multiple Columns

I have a dataframe which represents a population, with each column denoting a different quality/ characteristic of that person. How can I get a sample of that dataframe/ population

Solution 1:

You create a combined feature column, weight that one and draw with it as weights:

df["combined"] = list(zip(df["favourite_colour"],
                          df["favourite_knight"],
                          df["favourite_quality"]))

combined_weight = df['combined'].value_counts(normalize=True)

df['combined_weight'] = df['combined'].apply(lambda x: combined_weight[x])

df_sample = df.sample(140, weights=df['combined_weight'])