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Plotting multiple figures with seaborn and matplotlib using subplots.
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## | |
# Create a figure space matrix consisting of 3 columns and 2 rows | |
# | |
# Here is a useful template to use for working with subplots. | |
# | |
################################################################## | |
fig, ax = plt.subplots(figsize=(10,5), ncols=3, nrows=2) | |
left = 0.125 # the left side of the subplots of the figure | |
right = 0.9 # the right side of the subplots of the figure | |
bottom = 0.1 # the bottom of the subplots of the figure | |
top = 0.9 # the top of the subplots of the figure | |
wspace = .5 # the amount of width reserved for blank space between subplots | |
hspace = 1.1 # the amount of height reserved for white space between subplots | |
# This function actually adjusts the sub plots using the above paramters | |
plt.subplots_adjust( | |
left = left, | |
bottom = bottom, | |
right = right, | |
top = top, | |
wspace = wspace, | |
hspace = hspace | |
) | |
# The amount of space above titles | |
y_title_margin = 1.2 | |
plt.suptitle("Original vs Normalized vs Standardized", y = 1.09, fontsize=20) | |
### Bathrooms | |
ax[0][0].set_title("Original", y = y_title_margin) | |
ax[0][1].set_title("Normalized (MinMax)", y = y_title_margin) | |
ax[0][2].set_title("Starndardized (StardardScaler)", y = y_title_margin) | |
sns.distplot(df['bathrooms'], kde = False, ax=ax[0][0]) | |
sns.distplot(df['norm_bathrooms'], kde = False, ax=ax[0][1]) | |
sns.distplot(df['stand_bathrooms'], kde = False, ax=ax[0][2]) | |
# Set all labels on the row axis of subplots for bathroom data to "bathrooms" | |
[ax[0][i].set_xlabel("bathrooms") for i in range(0, 3)] | |
### Square feet | |
ax[1][0].set_title("Original", y = y_title_margin) | |
ax[1][1].set_title("Normalized (MinMax)", y = y_title_margin) | |
ax[1][2].set_title("Standardized (StandardScaler)", y=y_title_margin) | |
sns.distplot(df['square_feet'], kde = False, ax=ax[1][0]) | |
sns.distplot(df['norm_square_feet'], kde = False, ax=ax[1][1]) | |
sns.distplot(df['stand_square_feet'],kde = False, ax=ax[1][2]) | |
# Set all labels on the row axis of subplots for square_feet data to "square_feet" | |
[ax[1][i].set_xlabel("square_feet") for i in range(0, 3)] |
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