Added plots

plot1.py

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+import matplotlib.pyplot as plt
+import seaborn as sns
+data = sns.load_dataset('mpg')
+
+
+fig = plt.figure(figsize=(10, 7))
+(topfig, bottomfig) = fig.subfigures(2, 1)
+
+topfig.set_facecolor('#cbe4c6ff')
+topfig.suptitle('Top')
+
+bottomfig.set_facecolor('#c6c8e4ff')
+bottomfig.suptitle('Bottom')
+
+top_axs = topfig.subplots(2, 4)
+
+bottom_axs = bottomfig.subplots(3, 7)
+
+plt.show()

plot2.py

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+import matplotlib.pyplot as plt
+import seaborn as sns
+data = sns.load_dataset('mpg')
+
+figure = plt.figure(figsize=(10, 7))
+figs = figure.subfigures(2, 2, height_ratios=(2,1), width_ratios=(2,1))
+
+figs = figs.flatten()
+
+for i, fig in enumerate(figs):
+    fig.suptitle(f'Subfigure {i}')
+    axs = fig.subplots(2, 2)
+
+plt.show()

plot3.py

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+import matplotlib.pyplot as plt
+import seaborn as sns
+data = sns.load_dataset('mpg')
+
+
+figure = plt.figure(figsize=(10, 7))
+figs = figure.subfigures(2, 2, height_ratios=(2,1), width_ratios=(2,1))
+
+figs = figs.flatten()
+
+for i, fig in enumerate(figs):
+    fig.suptitle(f'Subfigure {i}')
+    axs = fig.subplots(2, 2)
+
+plt.tight_layout()
+plt.show()

plot4.py

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+import matplotlib.pyplot as plt
+import seaborn as sns
+data = sns.load_dataset('mpg')
+
+
+fig = plt.figure(figsize=(10, 7))
+(topfig, bottomfig) = fig.subfigures(2, 1)
+
+topfig.set_facecolor('#cbe4c6ff')
+topfig.suptitle('Top')
+bottomfig.set_facecolor('#c6c8e4ff')
+bottomfig.suptitle('Bottom')
+
+top_axs = topfig.subplots(2, 4)
+bottom_axs = bottomfig.subplots(3, 7)
+
+# Adding more space between plots and reducing the space to the sides
+topfig.subplots_adjust(left=.1, right=.9, wspace=.4, hspace=.4)
+
+# We can also squeeze subplots to the bottom
+bottomfig.subplots_adjust(wspace=.5, hspace=.8, top=.7, bottom=.3)
+
+plt.show()

plot5.py

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+import matplotlib.pyplot as plt
+import seaborn as sns
+data = sns.load_dataset('mpg')
+
+
+fig = plt.figure(figsize=(10, 7))
+(topfig, bottomfig) = fig.subfigures(2, 1)
+
+topfig.set_facecolor('#cbe4c6ff')
+topfig.suptitle('Top')
+top_axs = topfig.subplots(2, 4)
+
+
+(bottomleft, bottomright) = bottomfig.subfigures(1, 2, width_ratios=(1,2))
+
+
+bottomleft.set_facecolor('#c6c8e4ff')
+bottomleft.suptitle('Bottom left')
+bottom_axs = bottomleft.subplots(2, 2)
+
+bottomright.set_facecolor('#aac8e4ff')
+bottomright.suptitle('Bottom right')
+bottom_axs = bottomright.subplots(3, 3)
+
+# Spacing between subplots
+topfig.subplots_adjust(left=.1, right=.9, wspace=.4, hspace=.4)
+bottomleft.subplots_adjust(left=.2, right=.9, wspace=.5, hspace=.4)
+bottomright.subplots_adjust(left=.1, right=.9, wspace=.4, hspace=.4)
+
+plt.show()

plot6.py

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+import matplotlib.pyplot as plt
+import seaborn as sns
+data = sns.load_dataset('mpg')
+
+
+fig = plt.figure(figsize=(10, 7))
+(topfig, bottomfig) = fig.subfigures(2, 1)
+
+topfig.set_facecolor('#cbe4c6ff')
+topfig.suptitle('Top')
+top_axs = topfig.subplots(2, 4)
+
+# We are using the bottom left subfigure for the jointplot
+(bottomleft, bottomright) = bottomfig.subfigures(1, 2, width_ratios=(1,2))
+
+
+# This parameter defines the size ratio between the main plot and the margin plots
+ratio=2
+
+# Defining a gridspec where the subplots are places
+gs = plt.GridSpec(ratio + 1, ratio + 1)
+# The main scatterplot
+ax_joint  = bottomleft.add_subplot(gs[1:, :-1])
+# The margin plots are sharing an axis with the main plot
+ax_marg_x = bottomleft.add_subplot(gs[0, :-1], sharex=ax_joint)
+ax_marg_y = bottomleft.add_subplot(gs[1:, -1], sharey=ax_joint)
+
+# Axis labels and ticklabels for the margin plots are set to not visible
+# Since they are shared with the main plot, 
+# removing them for the margin will also remove them from the main plot
+plt.setp(ax_marg_x.get_xticklabels(), visible=False)
+plt.setp(ax_marg_y.get_yticklabels(), visible=False)
+plt.setp(ax_marg_x.get_xticklabels(minor=True), visible=False)
+plt.setp(ax_marg_y.get_yticklabels(minor=True), visible=False)
+
+# Filling the plots with data:
+sns.scatterplot(data=data, y='horsepower', x='mpg', ax=ax_joint)
+sns.histplot(data=data, y='horsepower', ax=ax_marg_y)
+sns.histplot(data=data, x='mpg', ax=ax_marg_x)
+
+
+bottomright.set_facecolor('#aac8e4ff')
+bottomright.suptitle('Bottom right')
+bottom_axs = bottomright.subplots(3, 3)
+
+# Spacing between subplots
+topfig.subplots_adjust(left=.1, right=.9, wspace=.4, hspace=.4)
+bottomright.subplots_adjust(left=.1, right=.9, wspace=.4, hspace=.4)
+
+plt.show()

plot7.py

@@ -0,0 +1,36 @@
+import matplotlib.pyplot as plt
+import seaborn as sns
+data = sns.load_dataset('mpg')
+
+
+def letter_annotation(ax, xoffset, yoffset, letter):
+    ax.text(xoffset, yoffset, letter, transform=ax.transAxes, 
+            size=12, weight='bold')
+
+fig = plt.figure(figsize=(10, 7))
+(topfig, bottomfig) = fig.subfigures(2, 1)
+
+topfig.set_facecolor('#cbe4c6ff')
+topfig.suptitle('Top')
+top_axs = topfig.subplots(2, 4)
+letter_annotation(top_axs[0][0], -.2, 1.1, 'A')
+
+(bottomleft, bottomright) = bottomfig.subfigures(1, 2, width_ratios=(1,2))
+
+
+bottomleft.set_facecolor('#c6c8e4ff')
+bottomleft.suptitle('Bottom left')
+bottoml_axs = bottomleft.subplots(2, 2)
+letter_annotation(bottoml_axs[0][0], -.2, 1.1, 'B')
+
+bottomright.set_facecolor('#aac8e4ff')
+bottomright.suptitle('Bottom right')
+bottomr_axs = bottomright.subplots(3, 3)
+letter_annotation(bottomr_axs[0][0], -.2, 1.1, 'C')
+
+# Spacing between subplots
+topfig.subplots_adjust(left=.1, right=.9, wspace=.4, hspace=.4)
+bottomleft.subplots_adjust(left=.2, right=.9, wspace=.5, hspace=.4)
+bottomright.subplots_adjust(left=.1, right=.9, wspace=.4, hspace=.4)
+
+plt.show()

plot8.py

@@ -0,0 +1,126 @@
+import matplotlib.pyplot as plt
+import seaborn as sns
+data = sns.load_dataset('mpg')
+
+
+def letter_annotation(ax, xoffset, yoffset, letter):
+    ax.text(xoffset, yoffset, letter, transform=ax.transAxes, 
+            size=12, weight='bold')
+
+fig = plt.figure(figsize=(10, 7))
+
+# Creating a subfigure for the first and second row
+(row1fig, row2fig) = fig.subfigures(2, 1, height_ratios=[1, 1])
+# Splitting the bottom row subfigure in two subfigures
+(fig_row2left, fig_row2right) = row2fig.subfigures(1, 2, wspace=.08, width_ratios = (1, 2))
+
+
+# #####
+# Row 1 plots
+# #####
+
+# Make 4 subplots for the first row subfigure
+row1_axs = row1fig.subplots(1, 4)
+
+# Make more space between subplots and extend plots to the left and right borders
+# Since `tight_layout` does not work for subfigures we also need to manually increase the space to the bottom 
+# to fit the fit the xaxis label
+row1fig.subplots_adjust(wspace=0.5, left=0, right=1, bottom=.16) # other parameters: bottom, top, hspace
+
+ax = row1_axs[0]
+sns.histplot(data=data, x='mpg', ax=ax)
+ax.set_title('MPG')
+# Annotate plotots with letters
+letter_annotation(ax, -.25, 1, 'A')
+# Some styling for figures to make them look better and have a standardized look
+sns.despine(offset=5, trim=False, ax=ax)
+
+ax = row1_axs[1]
+sns.histplot(data=data, x='displacement', ax=ax)
+ax.set_title('Displacement')
+letter_annotation(ax, -.25, 1, 'B')
+sns.despine(offset=5, trim=False, ax=ax)
+
+ax = row1_axs[2]
+sns.histplot(data=data, x='weight', ax=ax)
+ax.set_title('Weight')
+letter_annotation(ax, -.25, 1, 'C')
+sns.despine(offset=5, trim=False, ax=ax)
+
+ax = row1_axs[3]
+sns.histplot(data=data, x='horsepower', ax=ax)
+ax.set_title('Horsepower')
+letter_annotation(ax, -.25, 1, 'D')
+sns.despine(offset=5, trim=False, ax=ax)
+
+
+# #####
+# Row 2 plots
+# #####
+
+# ##
+# Seaborn jointplot
+# ##
+
+# Using code from the Seaborn JointGrid class
+
+# size ratio between the main plots and the margin plots
+ratio=2
+# Defining a gridspec for inside the subfigure
+gs = plt.GridSpec(ratio + 1, ratio + 1)
+ax_joint  = fig_row2left.add_subplot(gs[1:, :-1])
+# Share axis between the margin and main plots
+ax_marg_x = fig_row2left.add_subplot(gs[0, :-1], sharex=ax_joint)
+ax_marg_y = fig_row2left.add_subplot(gs[1:, -1], sharey=ax_joint)
+
+# Remove Axis labels and ticklabels for the margin plots
+plt.setp(ax_marg_x.get_xticklabels(), visible=False)
+plt.setp(ax_marg_y.get_yticklabels(), visible=False)
+plt.setp(ax_marg_x.get_xticklabels(minor=True), visible=False)
+plt.setp(ax_marg_y.get_yticklabels(minor=True), visible=False)
+
+sns.scatterplot(data=data, y='horsepower', x='mpg', ax=ax_joint)
+sns.histplot(data=data, y='horsepower', ax=ax_marg_y)
+sns.histplot(data=data, x='mpg', ax=ax_marg_x)
+
+sns.despine(offset=5, trim=False, ax=ax_joint)
+sns.despine(offset=5, trim=False, ax=ax_marg_y)
+sns.despine(offset=5, trim=False, ax=ax_marg_x)
+
+# Leaving some space to the right to remove overlaps
+fig_row2left.subplots_adjust(left=0, right=.8)
+letter_annotation(ax_marg_x, -.25, 1, 'E')
+
+# ##
+# Row 2 right plots
+# ##
+
+gs = plt.GridSpec(2, 3)
+ax_left   = fig_row2right.add_subplot(gs[:, 0])
+ax_middle = fig_row2right.add_subplot(gs[:, 1])
+ax_up     = fig_row2right.add_subplot(gs[0, 2])
+ax_down   = fig_row2right.add_subplot(gs[1, 2])
+
+fig_row2right.subplots_adjust(left=0, right=1, hspace=.5)
+
+ax = ax_left
+sns.scatterplot(data=data, x='model_year', y='weight', hue='origin', ax=ax)
+sns.despine(offset=5, trim=False, ax=ax)
+letter_annotation(ax, -.3, 1, 'F')
+
+ax = ax_middle
+sns.boxplot(data=data, x='origin', y='horsepower', ax=ax)
+sns.despine(offset=5, trim=False, ax=ax)
+letter_annotation(ax, -.3, 1, 'G')
+
+ax = ax_up
+sns.kdeplot(data=data, x='mpg', y='acceleration', ax=ax)
+sns.despine(offset=5, trim=False, ax=ax)
+letter_annotation(ax, -.3, 1, 'H')
+
+ax = ax_down
+sns.histplot(data=data, x='weight', y='horsepower', ax=ax)
+sns.despine(offset=5, trim=False, ax=ax)
+letter_annotation(ax, -.3, 1, 'I')
+
+plt.show()