import pandas as pd
import numpy as np

numrows = 5
index = ['A', 'B', 'C', 'D', 'E', 'F']
test = pd.DataFrame({
    'Yes': (0.4083, 0.4617, 0.284, 0.607, 0.3634, 0.4075),
    'No':  (0.5875, 0.5383, 0.716, 0.393, 0.635, 0.5925),
    'Other': (0.00417, 0, 0, 0, 0.0016668,0)},
    index = index)

def bar_plot(df):
    N = len(df) # number of rows
    ind = np.arange(N)
    width = 0.35
    num_y_cats = len(df.columns)

    p_s = []
    p_s.append(plt.bar(ind, df.iloc[:, 0], width, color='#000000'))
    for i in range(1, len(df.columns)):
        p_s.append(plt.bar(ind, df.iloc[:, i], width, color = ''.join(('#', 6 * str(i))), bottom = np.sum(df.iloc[:,:i], axis=1)))
    plt.ylabel('[%]')
    plt.title('Title')
    x_ticks_names = tuple([item for item in df.index])
    plt.xticks(ind, x_ticks_names)
    plt.yticks(np.arange(0, 1.1, 0.1))

    plt.legend(p_s, df.columns, bbox_to_anchor = (0.5, -0.35), loc = 'lower center', ncol = 3, borderaxespad = 0)
    plt.show()
    plt.close()