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Horizontal stacked percent bar chart - with dataframe, seaborn colormap

Chunxiao Wang answered on June 20, 2022 Popularity 3/10 Helpfulness 2/10

answer Horizontal stacked percent bar chart - with dataframe, seaborn colormap

Horizontal stacked percent bar chart - with dataframe, seaborn colormap

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colors = sns.color_palette("Set2", n_colors = 4)
cmap = LinearSegmentedColormap.from_list("my_colormap", colors)

ax = df_pos_time.plot(kind = 'barh', stacked = True, figsize = (14, 7), colormap = cmap, ec = 'w')
plt.legend(loc = 'center left', bbox_to_anchor = (1.0, 0.5), fontsize = 14)

for p in ax.patches:
    left, bottom, width, height = p.get_bbox().bounds
    if width > 0:
         ax.annotate(f'{width:0.1f}%', xy=(left+width/2, bottom+height/2), ha='center', va='center', fontsize=13)

ax.xaxis.set_visible(False)
plt.box(False)
plt.yticks(fontsize=17)

Popularity 3/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: bar-chart colormap python seaborn stacked

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Contributed on Jun 20 2022

Chunxiao Wang

0 Answers Avg Quality 2/10

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Horizontal stacked percent bar chart - with dataframe, seaborn colormap

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