pandas 条形图不采用颜色列表

Question

我正在尝试用不同的颜色为条形图着色，但是当我将颜色列表传递给 color 参数时，它仍然为所有条形图着色。

combi_df = pd.DataFrame(columns=['Labels', 'Number'])

label_list = ['one','two','three','four','five','six','seven','eight']
              

 
int_list = [302,11,73,10,68,36,42,30]
combi_df['Labels'] = label_list
combi_df['Number'] = int_list



fig = plt.figure()
ax = plt.subplot(111)


box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])

c = ['#1b9e77', '#a9f971', '#fdaa48','#6890F0','#A890F0','#fdaa48','#6890F0','#A890F0']


combi_df[['Number']].plot(kind='bar',color=c ,legend=True, fontsize=10,ax=ax)
ax.legend(ax.patches, combi_df['Labels'], loc='upper center',bbox_to_anchor=(0.75, 1))
ax.set_xlabel("Labels", fontsize=12)
ax.set_ylabel("Number of occurences", fontsize=12)

plt.show()

我尝试了很多方法来让它工作，包括 How to put colors in a matplotlib bar chart?, and How to set Different Color(s) for Bars of Bar Plot in Matplotlib?

Answer 1

如评论所述，DataFrame.plot.bar sets colors by column and you only have one column, so one possibility is to switch back to the vanilla pyplot.bar。

如果您仍想使用 pandas 图，请将 Labels 旋转到列中：

combi_df.pivot(columns='Labels', values='Number').plot.bar(color=c, stacked=True, ax=ax)

或者将其水平放置并将图例替换为yticklabels:

combi_df.pivot(columns='Labels', values='Number').plot.barh(color=c, stacked=True, legend=False, ax=ax)
ax.set_yticklabels(combi_df['Labels'])

pandas 条形图不采用颜色列表

pandas bar plot not taking list of colours

python

plot

matplotlib

bar-chart

pandas