Python Matplotlib and Horizontal Barchart (hbar)

Download the sample data here... import numpy as np import pandas as pd import matplotlib.pyplot as plt import random df = pd.read_csv(r'F:\Python\...\shampoo_sales.txt', sep='\t', header=0) df['Month'] = pd.to_datetime(df['Month']) color=[] r = lambda: random.randint(0,255) color.append('#%02X%02X%02X' % (r(),r(),r())) y_pos = [i for i in range(len(df))] y_label = [str(i)[0:7] for i in df['Month'].tolist()] def autolabel_stack(rects, left=0, fontsize=10): """ Attach a text label above each bar displaying its height """ i=0 for rect in rects: length = rect.get_width() ax.text(left[i]+length/2, rect.get_y(), '%d' % int(length), horizontalalignment ='center', verticalalignment ='top', fontsize=fontsize, rotation=0, color='white') i+=1 width = 0.85 color=[] for i in range(len(df)): r = lambda: random.randint(0,255) color.append('#%02X%02X%02X' % (r(),r(),r())) fig, ax = plt.subplots(figsize=(10,7), dpi=100) #ax.set_xlim([0, 815]) ax.spines['right'].set_visible(False) #ax.spines['left'].set_visible(False) ax.spines['top'].set_visible(False) ax.spines['bottom'].set_visible(False) ax.xaxis.grid(b=False, which='major', color='gray', linestyle='--') #ax.yaxis.grid(b=False, which='major', color='gray', linestyle='--') lefts_01 = [0]*len(y_pos) hbar1 = ax.barh(y_pos, df['Shampoo_Sales'], width, align='center', color='#5291A2', ecolor='black', label='Shampoo', left=lefts_01) lefts_02 = lefts_01 + df['Shampoo_Sales'] hbar2 = ax.barh(y_pos, df['Other_Sales'], width, align='center', color='#8F26EC', ecolor='black', label='Other', left=lefts_02) ax.set_yticks(y_pos) ax.set_yticklabels(y_label) ax.invert_yaxis() # labels read top-to-bottom ax.set_xlabel('Shampoo Sales') ax.set_title('Shampoo Sales time vs. Sales') ax.twinx() ax.legend() autolabel_stack(rects=hbar1, left=lefts_01, fontsize=8.5) autolabel_stack(rects=hbar2, left=lefts_02, fontsize=8.5) plt.show()