code_to_build_vertical_bar_graph.py

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm

list1x = list(reddit_subgroup_name_df['subgroup'])
list1y = list(reddit_subgroup_name_df['positive'])
list1z = list(reddit_subgroup_name_df['negative'])

x = np.arange(len(list1x))  # the label locations
width = 0.35  # the width of the bars

fig, ax = plt.subplots(figsize=(15, 8))
rects1 = ax.bar(x - width/2, list1y, width, label='positive')
rects2 = ax.bar(x + width/2, list1z, width, label='negative')


plt.rcParams.update({'font.size': 10})
rects = ax.patches

def autolabel(rects):
    """Attach a text label above each bar in *rects*, displaying its height."""
    for rect in rects:
        height = rect.get_height()
        ax.annotate('{}'.format(height),
                    xy=(rect.get_x() + rect.get_width() / 2, height),
                    xytext=(0, 3),  # 3 points vertical offset
                    textcoords="offset points",
                    ha='center', va='bottom')


autolabel(rects1)
autolabel(rects2)

ax.text(0, 1.02, 'Count of Positive and Negative comments', 
        transform=ax.transAxes, size=12, weight=600, color='#777777')
ax.xaxis.set_ticks_position('bottom')
ax.tick_params(axis='x', colors='black', labelsize=9)

ax.set_xticklabels(list1x)
ax.set_xticks(x)
ax.legend()

ax.set_axisbelow(True)
ax.text(0, 1.08, 'Sentiment Analysis of Reddit Subgroup',
        transform=ax.transAxes, size=22, weight=600, ha='left')
ax.text(0, -0.1, 'Source: Reddit subgroup Comments (https://www.reddit.com/)',
        transform=ax.transAxes, size=12, weight=200, color='#777777')
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
plt.show()