sns.histplot(x=df['Minutes'], kde=True)
# save figure for book
f = plt.figure(figsize=(5.5, 5.5)) # this changes the size of the image -- more on this is chapter 5
f.patch.set_facecolor('w') # sets background color behind axis labels
sns.histplot(x=df['Minutes'], kde=True)
plt.tight_layout() # auto-adjust margins
plt.savefig('B17030_05_04.png', dpi=300)
sns.violinplot(data=df, x='Minutes')
# save figure for book
f = plt.figure(figsize=(5.5, 5.5)) # this changes the size of the image -- more on this is chapter 5
f.patch.set_facecolor('w') # sets background color behind axis labels
sns.violinplot(data=df, x='Minutes')
plt.tight_layout() # auto-adjust margins
plt.savefig('B17030_05_05.png', dpi=300)
top_5_genres = df['Genre'].value_counts().index[:5]
top_5_data = data=df[df['Genre'].isin(top_5_genres)]
sns.violinplot(data=top_5_data, x='Minutes', y='Genre')
# save figure for book
f = plt.figure(figsize=(5.5, 5.5)) # this changes the size of the image -- more on this is chapter 5
f.patch.set_facecolor('w') # sets background color behind axis labels
sns.violinplot(data=top_5_data, x='Minutes', y='Genre')
plt.tight_layout() # auto-adjust margins
plt.savefig('B17030_05_06.png', dpi=300)
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