describe_category with percentage

describe_category.py

def describe_category(dataframe, column_name):
    """
    plot describe category with percentage
    """
    value_count = dataframe[column_name].value_counts().sort_index()
    df_value_count = pd.DataFrame({column_name: value_count.index, "count": value_count.values})
    sum_class = df_value_count["count"].sum()
    df_value_count["percentage"] = df_value_count["count"]/sum_class*100
    display(df_value_count)
    
    # fig, ax = plt.subplots(figsize = (1,7)
    ax = sns.barplot(data=df_value_count, x=column_name, y="count")
    ax.set_ylim(0, df_value_count["count"].max()*1.2)
    for p, percentage in zip(ax.patches, list(df_value_count["percentage"])):
        ax.annotate("%.2f" % percentage +" %", (p.get_x() + p.get_width() / 2., p.get_height()),
             ha='center', va='center', rotation=0, xytext=(0, 20), textcoords='offset points')  #vertical bars