In this python code %recall 5 which is in line 20 keeps giving me a SyntaxError: Invalid Syntax error. How do I fix it? 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') print(axes.set_title(title)) print(axes.set(xlabel='Die Value', ylabel='Frequency')) 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.cla() %recall 5 rolls = [random.randrange(1, 7) for i in range(600)] rolls = [random.randrange(1, 7) for i in range(60000)] %recall 6-13 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) axes.set(xlabel='Die Value', ylabel='Frequency') 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')
In this python code %recall 5 which is in line 20 keeps giving me a SyntaxError: Invalid Syntax error. How do I fix it?
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')
print(axes.set_title(title))
print(axes.set(xlabel='Die Value', ylabel='Frequency'))
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.cla()
%recall 5
rolls = [random.randrange(1, 7) for i in range(600)]
rolls = [random.randrange(1, 7) for i in range(60000)]
%recall 6-13
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)
axes.set(xlabel='Die Value', ylabel='Frequency')
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')
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