histograms for each categorical column

gistfile1.txt

# Selecting categorical columns
categorical_columns = df[['rideable_type', 'member_casual']]

# Creating histograms for each categorical column
plt.figure(figsize=(12, 6))

# Rideable Type
plt.subplot(1, 2, 1)
df['rideable_type'].value_counts().plot(kind='bar', color='skyblue')
plt.title('Rideable Type Frequency')
plt.xlabel('Rideable Type')
plt.ylabel('Frequency')
plt.xticks(rotation=0)
plt.grid(axis='y')

# Member Casual
plt.subplot(1, 2, 2)
df['member_casual'].value_counts().plot(kind='bar', color='green')
plt.title('Member vs Casual Frequency')
plt.xlabel('Member Type')
plt.ylabel('Frequency')
plt.xticks(rotation=0)
plt.grid(axis='y')

plt.tight_layout()
plt.show()