Modify the die-rolling simulation in Section 5.17.2 to omit displaying the frequencies and percentages above each bar. Try to minimize the number of lines of code. Use python code. import matplotlib.pyplot as plt import numpy as np import random import seaborn as sns rolls = [random.randrange(1, 7) for i in range(600)] values, frequencies = np.unique(rolls, return_counts=True) title = f'Rolling a Six-Sided Die {len(rolls):,} Times' sns.set_style('whitegrid') axes = sns.barplot(x=values, y=frequencies, palette='bright') axes.set_title(title) print(axes.set_title(title)) axes.set(xlabel='Die Value', ylabel='Frequency') print(axes.set(xlabel='Die Value', ylabel='Frequency')) axes.set_ylim(top=max(frequencies) * 1.10)
Modify the die-rolling simulation in Section 5.17.2 to omit displaying the frequencies and percentages above each bar. Try to minimize the number of lines of code. Use python code.
import matplotlib.pyplot as plt
import numpy as np
import random
import seaborn as sns
rolls = [random.randrange(1, 7) for i in range(600)]
values, frequencies = np.unique(rolls, return_counts=True)
title = f'Rolling a Six-Sided Die {len(rolls):,} Times'
sns.set_style('whitegrid')
axes = sns.barplot(x=values, y=frequencies, palette='bright')
axes.set_title(title)
print(axes.set_title(title))
axes.set(xlabel='Die Value', ylabel='Frequency')
print(axes.set(xlabel='Die Value', ylabel='Frequency'))
axes.set_ylim(top=max(frequencies) * 1.10)
print(axes.set_ylim(top=max(frequencies) * 1.10))
for bar, frequency in zip(axes.patches, frequencies):
text_x = bar.get_x() + bar.get_width() / 2.0
text_y = bar.get_height()
text = f'{frequency:,}\n{frequency / len(rolls):.3%}'
axes.text(text_x, text_y, text,
fontsize=11, ha='center', va='bottom')
plt.show()
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