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June 15, 2019 21:10
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Diverging barplot in python. Can flexibly include the center bar or not depending on how many categories you give it.
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| import pandas as pd | |
| from matplotlib import pyplot as plt | |
| import seaborn as sns | |
| import matplotlib.patches as mpatches | |
| sns.set(style="whitegrid", font_scale=1.8) | |
| def diverging_stacked_bar(results, category_names=[], colors=[], symmetrical=False, | |
| bar_width = 0.35): | |
| if len(category_names) % 2 == 0: # even | |
| print(len(category_names)) | |
| mid = False | |
| else: # odd | |
| mid = True | |
| mid_ix = len(category_names) / 2 | |
| ind = range(len(results)) | |
| fig, ax = plt.subplots(figsize=(12, 5)) | |
| patches = [] | |
| max_width = 0 | |
| max_left_width = 0 | |
| max_right_width = 0 | |
| for i, (ix, row) in enumerate(results.iterrows()): | |
| b = i - bar_width / 2. # bottom_bar_edge | |
| if mid: | |
| mid_count = row.loc[category_names[mid_ix]] | |
| l = -1. * mid_count / 2 # left_bar_edge | |
| r = mpatches.Rectangle( | |
| xy=(l, b), width=mid_count, height=bar_width, | |
| facecolor=colors[mid_ix], | |
| edgecolor=colors[mid_ix], | |
| linewidth=1, | |
| label='_nolegend_', | |
| ) | |
| ax.add_patch(r) | |
| left_edge = l | |
| right_edge = -l | |
| else: | |
| left_edge = right_edge = 0 | |
| if mid: | |
| right_start = mid_ix + 1 | |
| left_end = mid_ix | |
| else: | |
| right_start = len(category_names) / 2 | |
| left_end = right_start | |
| # left bars | |
| for bar in range(0, left_end): | |
| bar_count = row.loc[category_names[bar]] | |
| l = left_edge - bar_count | |
| r = mpatches.Rectangle( | |
| xy=(l, b), width=bar_count, height=bar_width, | |
| facecolor=colors[bar], | |
| edgecolor=colors[bar], | |
| linewidth=1, | |
| label='_nolegend_',) | |
| ax.add_patch(r) | |
| left_edge = l | |
| # right bars | |
| for bar in range(right_start, len(category_names)): | |
| bar_count = row.loc[category_names[bar]] | |
| l = right_edge | |
| r = mpatches.Rectangle( | |
| xy=(l, b), width=bar_count, height=bar_width, | |
| facecolor=colors[bar], | |
| edgecolor=colors[bar], | |
| linewidth=1, | |
| label='_nolegend_',) | |
| ax.add_patch(r) | |
| right_edge += bar_count | |
| max_width = max([max_width, -left_edge, right_edge]) | |
| max_left_width = min([max_left_width, left_edge]) | |
| max_right_width = max([max_right_width, right_edge]) | |
| if symmetrical: | |
| ax.set_xlim([-max_width, max_width]) | |
| else: | |
| ax.set_xlim([max_left_width, max_right_width]) | |
| ax.set_ylim([-bar_width, len(results)]) | |
| ax.set_yticks([i for i in range(len(results))]) | |
| ax.set_yticklabels([plt.Text(0, i - bar_width / 2., str(x)) for i, x in enumerate(results.index)]) | |
| legend_items = [] | |
| for cat, color in zip(category_names, colors): | |
| legend_items.append(mpatches.Patch(facecolor=color, edgecolor=color, label=cat)) | |
| ax.legend(handles=legend_items) | |
| return ax | |
| # Example | |
| results = {"strongly disagree" : [3, 4, 1, 0, 5, 7], | |
| "disagree" : [10, 12, 3, 3, 3, 2], | |
| "neutral": [4, 4, 6, 8, 1, 0], | |
| "agree": [2, 1, 7, 4, 2, 5], | |
| "strongly agree": [7, 6, 5, 4, 3, 2]} | |
| results = pd.DataFrame(results, index=["q%d" % i for i in range(6)]) | |
| columns_with_neutral = [u'agree', u'disagree', u'neutral', u'strongly agree', u'strongly disagree'] | |
| colors_with_neutral = ['firebrick', 'lightcoral', 'gainsboro', 'cornflowerblue', 'darkblue'] | |
| ax = diverging_stacked_bar(results, columns_with_neutral, | |
| colors=colors_with_neutral, symmetrical=True) | |
| columns_without_neutral = [u'agree', u'disagree', u'strongly agree', u'strongly disagree'] | |
| colors_without_neutral = ['firebrick', 'lightcoral', 'cornflowerblue', 'darkblue'] | |
| ax = diverging_stacked_bar(results, columns_without_neutral, | |
| colors=colors_without_neutral, symmetrical=False) |
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Output: