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import matplotlib.pyplot as plt | |
import numpy as np | |
plt.figure() | |
languages =['Python', 'SQL', 'Java', 'C++', 'JavaScript'] | |
pos = np.arange(len(languages)) | |
popularity = [56, 39, 34, 34, 29] | |
# change the bar colors to be less bright blue | |
bars = plt.bar(pos, popularity, align='center', linewidth=0, color='lightslategrey') | |
# make one bar, the python bar, a contrasting color | |
bars[0].set_color('#1F77B4') | |
# soften all labels by turning grey | |
plt.xticks(pos, languages, alpha=0.8) | |
plt.ylabel('% Popularity', alpha=0.8) | |
plt.title('Top 5 Languages for Math & Data \nby % popularity on Stack Overflow', alpha=0.8) | |
# remove all the ticks (both axes), and tick labels on the Y axis | |
plt.tick_params(top='off', bottom='off', left='off', right='off', labelleft='off', labelbottom='on') | |
''' | |
============Alternative way==================== | |
colors = ['red', 'blue', 'blue', 'blue', 'blue'] | |
plt.bar(pos, popularity, align='center', color=colors, alpha = 0.5, linewidth = 0) | |
plt.xticks(pos, languages) | |
plt.ylabel('% Popularity', color='grey') | |
plt.title('Top 5 Languages for Math & Data \nby % popularity on Stack Overflow', color='grey') | |
plt.tick_params(top='off', bottom='off', left='off', right='off', labelleft='off', labelbottom='on', colors='grey') | |
''' | |
# TODO: direct label each bar with Y axis values | |
for a, b in enumerate(popularity): | |
plt.gca().text(a, b-5, str(b)+'%', color='white', fontweight='bold', ha='center') | |
''' | |
============Alternative way==================== | |
# From Coursera | |
for bar in bars: | |
plt.gca().text(bar.get_x() + bar.get_width()/2, bar.get_height() - 5, str(int(bar.get_height())) + '%', | |
ha='center', color='w', fontsize=11) | |
''' | |
# remove the frame of the chart | |
for spine in plt.gca().spines.values(): | |
spine.set_visible(False) | |
plt.show() |
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