Add horizontal bar 9.20

Author: ioanniswd

README.md

@@ -16,8 +16,8 @@ Here I have implemented few graphs from the book using Python and matplotlib lib
 ![](images/Figure_0-5.png)                   |![](images/Figure_3-34.png)
 [Figure 4.9](horizontal-bar/figure-4-9.ipynb)|[Figure 5.13](vertical-bar/figure-5-13.ipynb)
 ![](images/Figure_4-9.png)                   |![](images/Figure_5-13.png)
-[Figure 6.4](vertical-bar/figure-6-4.ipynb)  |
-![](images/Figure_6-4.png)                   |
+[Figure 6.4](vertical-bar/figure-6-4.ipynb)  |[Figure 9.20](vertical-bar/figure-9-20.ipynb)
+![](images/Figure_6-4.png)                   |![](images/Figure_9-20.png)
 
 ## Slopegraphs
 [Figure 9.32](slopegraph/figure-9-32.ipynb)|

horizontal-bar/figure-9-20.ipynb

@@ -0,0 +1,343 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+import matplotlib
+from matplotlib import transforms, patches, pyplot as plt
+from mpl_toolkits.axes_grid1.inset_locator import inset_axes
+import numpy as np
+import seaborn as sns
+
+
+# inline matplotlib plots
+get_ipython().run_line_magic('matplotlib', 'inline')
+
+
+# define colors
+GRAY7, GRAY9 = '#929497', '#BFBEBE'
+BLUE_GREEN = '#31859D'
+BLUE_GREEN_LIGHT ='#92CDDD'
+BLUE_DARK = '#1E497D'
+BLUE_LIGHT = '#95B3D7'
+ORANGE_LIGHT = '#FBC08F'
+RED3 = '#DE3A2F'
+
+
+def hex_to_rgb(hex_value):
+  h = hex_value.lstrip('#')
+  return tuple(int(h[i:i + 2], 16) / 255.0 for i in (0, 2, 4))
+
+def print_colors(colors):
+    rgb_colors = list(map(hex_to_rgb, colors))
+    sns.palplot(rgb_colors)
+
+
+print_colors([
+        GRAY7,
+        GRAY9,
+        BLUE_GREEN,
+        BLUE_GREEN_LIGHT,
+        BLUE_DARK,
+        BLUE_LIGHT,
+        ORANGE_LIGHT,
+        RED3
+        ])
+
+
+# configure plot font family to Arial
+plt.rcParams['font.family'] = 'Arial'
+# configure mathtext bold and italic font family to Arial
+matplotlib.rcParams['mathtext.fontset'] = 'custom'
+matplotlib.rcParams['mathtext.bf'] = 'Arial:bold'
+matplotlib.rcParams['mathtext.it'] = 'Arial:italic'
+
+
+# Returns the x coordinates of a text element on a given axis of a given
+# figure.
+# Used to position elements on the canvas
+# Returns object with attributes:
+#   x0 coordinate of the text element
+#   x1 coordinate of the text element
+#   y0 coordinate of the text element
+#   y1 coordinate of the text element
+def get_text_coordinates(text_element, ax, fig):
+        x0 = text_element.get_window_extent(fig.canvas.get_renderer()).x0
+        x1 = text_element.get_window_extent(fig.canvas.get_renderer()).x1
+        y0 = text_element.get_window_extent(fig.canvas.get_renderer()).y0
+        y1 = text_element.get_window_extent(fig.canvas.get_renderer()).y1
+        return {
+                 'x0': round(ax.transData.inverted().transform_point((x0, 0))[0], 2),
+                 'x1': round(ax.transData.inverted().transform_point((x1, 0))[0], 2),
+                 'y0': round(ax.transData.inverted().transform_point((0, y0))[1], 2),
+                 'y1': round(ax.transData.inverted().transform_point((0, y1))[1], 2)
+               }
+
+
+# A to O
+features = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K' ,'L', 'M', 'N', 'O']
+feature_labels = [f'Feature {x}' for x in features]
+
+
+X_values = [
+        [0, 1, 1, 11, 40, 47],   # A
+        [0, 2, 2, 13, 36, 47],   # B
+        [2, 2, 5, 24, 34, 33],   # C
+        [8, 1, 4, 21, 37, 29],   # D
+        [6, 1, 6, 23, 36, 28],   # E
+        [14, 1, 5, 20, 35, 25],  # F
+        [19, 2, 5, 15, 26, 33],  # G
+        [13, 1, 6, 23, 32, 25],  # H
+        [22, 2, 5, 17, 27, 27],  # I
+        [2, 8, 14, 24, 27, 25],  # J
+        [29, 1, 4, 17, 28, 21],  # K
+        [29, 1, 4, 23, 27, 16],  # L
+        [33, 3, 8, 25, 18, 13],  # M
+        [26, 9, 14, 24, 17, 10], # N
+        [51, 1, 6, 15, 16, 11]   # O
+        ]
+
+
+colors = [
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_DARK]*2),   # A
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_DARK]*2),   # B
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # C
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # D
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # E
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # F
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # G
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # H
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # I
+        ([BLUE_GREEN_LIGHT] + [RED3]*2    + [GRAY9] + [BLUE_LIGHT]*2),       # J
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # K
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # L
+        ([BLUE_GREEN_LIGHT] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2),  # M
+        ([BLUE_GREEN_LIGHT] + [RED3]*2    + [GRAY9] + [BLUE_LIGHT]*2),       # N
+        ([BLUE_GREEN] + [ORANGE_LIGHT]*2 + [GRAY9] + [BLUE_LIGHT]*2)         # 0
+        ]
+
+colors
+
+
+feature_labels
+
+
+X_values_reversed_transposed = np.array(X_values[::-1]).T.tolist()
+colors_reversed_transposed = np.array(colors[::-1]).T.tolist()
+feature_labels_reversed = feature_labels[::-1]
+
+
+# create a horizontal stacked bar chart
+fig, ax = plt.subplots(figsize=(25, 7),  # width, height in inches
+                          dpi=110)       # resolution of the figure
+
+# tune the subplot layout by setting sides of the figure
+fig.subplots_adjust(left=0.28, right=0.53, top=0.61, bottom=0.107)
+
+widths = np.cumsum(X_values, axis=1)[::-1].T.tolist()
+
+for i, (colname, color) in enumerate(zip(X_values_reversed_transposed, colors_reversed_transposed)):
+    bars = ax.barh(feature_labels_reversed,
+             colname,
+             color=color,
+             edgecolor='white',
+             height=0.65,
+             left=np.sum(X_values_reversed_transposed[:i], axis=0))
+
+
+    for j, b in enumerate(bars):
+            # 3% is too small to display the label
+            if b.get_width() <= 3:
+                continue
+
+            # We could annotate all values, but only need to draw attention
+            # to these specific ones
+            if color[j] not in [BLUE_DARK, RED3, BLUE_GREEN]:
+                continue
+
+            width = widths[i][j]
+
+            plt.text(width - 0.7, b.get_y() + b.get_height() / 2,
+                     f'{b.get_width():.0f}%',
+                     ha='right',
+                     va='center',
+                     fontsize=6,
+                     color='white')
+
+# set y ticks and labels
+ax.set_yticks(range(len(feature_labels_reversed)))
+ax.set_yticklabels(feature_labels_reversed, fontsize=10, fontweight='bold')
+
+# set x axis limits
+ax.set_xlim(0, 100)
+
+# set x ticks and labels
+ax.set_xticks([0, 25, 50, 75, 100])
+
+ax.tick_params(top=False, bottom=False, left=False, labelbottom=False, labeltop=False)
+ax.tick_params(color=GRAY7)
+ax.spines['top'].set_visible(False)
+ax.spines['left'].set_visible(False)
+ax.spines['right'].set_visible(False)
+ax.spines['bottom'].set_visible(False)
+
+# Legend
+legends_end_x1 = 100
+
+legend_texts = [
+    '- Have not used',
+    '- Not satisfied at all',
+    '- Not very satisfied',
+    '- Somewhat satisfied',
+    '- Very satisfied',
+    '- Completely satisfied',
+]
+
+legend_fontsize = 8
+
+# Drawing the elements to get their size with respect to coordinates to
+# calculate the starting position given the end position and the desired spacing
+legends_length = 0
+for text in legend_texts:
+    element = ax.text(0, 0, text, fontsize=legend_fontsize, fontweight='bold')
+    legends_length += get_text_coordinates(element, ax=ax, fig=fig)['x1']
+    element.set_visible(False)
+
+spacing = 3
+
+legends_start_x0 = legends_end_x1 - legends_length - spacing * (len(legend_texts) - 1)
+
+legends_y = len(feature_labels_reversed) + 0.05
+
+legend_colors = [BLUE_GREEN] + [RED3] * 2 + [GRAY9] + [BLUE_DARK] * 2
+
+x = legends_start_x0
+
+for text, color in zip(legend_texts, legend_colors):
+    previous_element = ax.text(x, legends_y, text, fontsize=legend_fontsize, color=color, fontweight='bold')
+    x = get_text_coordinates(previous_element, ax=ax, fig=fig)['x1'] + spacing
+
+title_x0 = legends_start_x0 - 5
+
+# Calculate spacing dynamically
+side_box_text_1 = 'Features A and B\ncontinue to top user\nsatisfaction'
+side_box_text_2 = 'Users are least\nsatisfied with\nFeatures J and N;\nwhat improvements\n'                         'can we make here\nfor a better user\nexperience?'
+
+# In the following text, I added two spaces to match the size of the above boxes.
+# Should be fixed by using a monospace font
+side_box_text_3 = 'Feature O is least\nused. What steps\n'                         'can we proactively  \n'                         'take with existing\n'                         'users to increase\n'                         'utilization?'
+
+linespacing = 1.3
+fontsize = 10
+
+
+side_boxes_height = 0
+__el = ax.text(0, 0, side_box_text_1, fontsize=fontsize, linespacing=linespacing)
+side_boxes_height += get_text_coordinates(__el, ax=ax, fig=fig)['y1']
+__el.set_visible(False)
+
+__el = ax.text(0, 0, side_box_text_2, fontsize=fontsize, linespacing=linespacing)
+side_boxes_height += get_text_coordinates(__el, ax=ax, fig=fig)['y1']
+__el.set_visible(False)
+
+__el = ax.text(0, 0, side_box_text_3, fontsize=fontsize, linespacing=linespacing)
+side_boxes_height += get_text_coordinates(__el, ax=ax, fig=fig)['y1']
+__el.set_visible(False)
+
+
+side_boxes_start_y0 = 0.07 # to handle the padding from the background color
+side_boxes_end_y1 = len(feature_labels_reversed) - 1
+
+spacing = (side_boxes_end_y1 - side_boxes_start_y0 - side_boxes_height) / (3 - 1) # n_elements - 1
+
+side_box_x = 102.5
+
+y1 = get_text_coordinates(previous_element, ax=ax, fig=fig)['y1'] + spacing
+
+previous_element = ax.text(side_box_x, side_boxes_start_y0, side_box_text_3,
+        fontsize=fontsize, linespacing=linespacing, backgroundcolor=BLUE_GREEN,
+        color='white')
+
+y1 = get_text_coordinates(previous_element, ax=ax, fig=fig)['y1'] + spacing
+
+previous_element = ax.text(side_box_x, y1, side_box_text_2,
+        fontsize=fontsize, linespacing=linespacing, backgroundcolor=RED3,
+        color='white')
+
+y1 = get_text_coordinates(previous_element, ax=ax, fig=fig)['y1'] + spacing
+
+ax.text(side_box_x, y1, side_box_text_1,
+        fontsize=fontsize, linespacing=linespacing, backgroundcolor=BLUE_DARK,
+        color='white')
+
+
+rightmost_x = get_text_coordinates(previous_element, ax=ax, fig=fig)['x1']
+
+
+title = ax.text(title_x0, len(feature_labels_reversed) + 3.15,
+        'User satisfaction varies greatly by feature',
+        fontsize=15, backgroundcolor='none', color='white',
+        ha='left')
+
+title_coordinates =  get_text_coordinates(title, ax=ax, fig=fig)
+
+# I cannot use background color with the title, because it does not extend up to
+# the rightmost x coordinate.
+# I could not do this with a bbox config.
+# I could not use a rectangle directly because it is not being drawn out of the
+# ax x/y limits.
+# I create another axis, ax2, and I create a rectangle there.
+title_x1 = title_coordinates['x1']
+title_y0 = title_coordinates['y0']
+title_y1 = title_coordinates['y1']
+
+height = title_y1 - title_y0
+width = rightmost_x - title_x0
+
+padding = 0.65 # space around the text
+
+padding_coord = (height / 2 * padding)
+
+ax2_x_min = title_x0 - padding_coord
+ax2_y_min = title_y0 - padding_coord
+ax2_y_max = title_y1 + padding_coord
+
+ax2_height = ax2_y_max - ax2_y_min
+
+tweak_coords = 1.45 # extend the box a bit to align with background color of side texts
+
+ax2_width = width + 2 * padding_coord + tweak_coords
+ax2 = ax.inset_axes([ax2_x_min, ax2_y_min, ax2_width, ax2_height], transform=ax.transData, zorder=1)
+ax2.xaxis.set_visible(False)
+ax2.yaxis.set_visible(False)
+
+ax2_x_max = ax2.get_xlim()[1]
+
+ax2.spines['top'].set_visible(False)
+ax2.spines['left'].set_visible(False)
+ax2.spines['right'].set_visible(False)
+ax2.spines['bottom'].set_visible(False)
+
+rect = patches.Rectangle((0, 0), ax2_x_max, ax2_y_max, linewidth=1, edgecolor=GRAY7, facecolor=GRAY7)
+ax2.add_patch(rect)
+
+# subtitle
+ax.text(title_x0, len(feature_labels_reversed) + 1.50,
+        'Product X User Satisfaction: '
+        '$\\bf{Features}$',
+        fontsize=10,
+        color='#4B4B4B')
+
+# footnote
+ax.text(title_x0, -2,
+        'Reponses based on survey question "How satisfied have you been with each'
+        ' of these features?"\n'
+        'Need more details here to help put this data into context: How many'
+        ' people completed survey? What proportion of users does this represent?\n'
+        'Do those who completed survey look like the overall population'
+        ' demographic wise? When was the survey conducted?',
+        fontsize=6, linespacing=1.3)
+
+plt.show()
+
+
+
+