我使用 pandas Dataframe 中的不同列创建了多个条形图。
fig1 = plt.figure()
ypos = np.arange(len(dframe))
colorscheme = seaborn.color_palette(n_colors=4)
accuracyFig = fig1.add_subplot(221)
accuracyFig.bar(ypos,dframe['accuracy'], align = 'center', color=colorscheme)
accuracyFig.set_xticks([0,1,2,3])
accuracyFig.set_ylim([0.5,1])
sensitivityFig = fig1.add_subplot(222)
sensitivityFig.bar(ypos, dframe['sensitivity'], align = 'center',color=colorscheme )
sensitivityFig.set_xticks([0,1,2,3])
sensitivityFig.set_ylim([0.5,1])
specificityFig = fig1.add_subplot(223)
specificityFig.bar(ypos, dframe['specificity'], align = 'center', color=colorscheme)
specificityFig.set_xticks([0,1,2,3])
specificityFig.set_ylim([0.5,1])
precisionFig = fig1.add_subplot(224)
precisionFig.bar(ypos, dframe['precision'], align = 'center', color=colorscheme)
precisionFig.set_xticks([0,1,2,3])
precisionFig.set_ylim([0.5,1])
哪里dframe
是一个具有整数值的 Pandas 数据框。这会输出下图 .
每种颜色对应一个分类器模型 - perceptron,C2,C3 and C4
存储在 Pandas 中的 dframe['name']
现在我想为整个图形绘制一个图例。我尝试了以下
leg = plt.legend(dframe['name'])
任何有关如何绘制单个图例并将其放置在 2 列中的图形的帮助。
这是我的数据框
name accuracy sensitivity specificity precision
0 perceptron 0.820182164169 0.852518881235 0.755172413793 0.875007098643
1 DecisionTreeClassifier 1.0 1.0 1.0 1.0
2 ExtraTreesClassifier 1.0 1.0 1.0 1.0
3 RandomForestClassifier 0.999796774253 0.999889340748 0.999610678532 0.999806362379
最佳答案
首先,您的表格格式不整齐(参见此处:http://vita.had.co.nz/papers/tidy-data.pdf)。
让你的表格整齐(或长)的格式有一个巨大的优势,那就是使用 seaborn 绘图变得非常容易(还有其他优势):
df # yours
name accuracy sensitivity specificity precision
0 perceptron 0.820182164169 0.852518881235 0.755172413793 0.875007098643
1 DecisionTreeClassifier 1.0 1.0 1.0 1.0
2 ExtraTreesClassifier 1.0 1.0 1.0 1.0
3 RandomForestClassifier 0.999796774253 0.999889340748 0.999610678532 0.999806362379
将其转换为长格式(或整洁):
df2 = pd.melt(df, value_vars=["accuracy", "sensitivity", "specificity", "precision"], id_vars="name")
df2
name variable value
0 perceptron accuracy 0.820182
1 DecisionTreeClassifier accuracy 1.000000
2 ExtraTreesClassifier accuracy 1.000000
3 RandomForestClassifier accuracy 0.999797
4 perceptron sensitivity 0.852519
5 DecisionTreeClassifier sensitivity 1.000000
6 ExtraTreesClassifier sensitivity 1.000000
7 RandomForestClassifier sensitivity 0.999889
8 perceptron specificity 0.755172
9 DecisionTreeClassifier specificity 1.000000
10 ExtraTreesClassifier specificity 1.000000
11 RandomForestClassifier specificity 0.999611
12 perceptron precision 0.875007
13 DecisionTreeClassifier precision 1.000000
14 ExtraTreesClassifier precision 1.000000
15 RandomForestClassifier precision 0.999806
然后,只需在 1 行 + 2 行中绘制您想要的内容以使其更清晰:
g = sns.factorplot(data=df2,
kind="bar",
col="variable", # you have 1 plot per variable, forming 1 line and 4 columns (4 different variables)
x="name", # in each plot the x-axis will be the name
y="value", # the height of the bar
col_wrap=2) # you actually want your line of plots to contain 2 plots maximum
g.set_xticklabels(rotation=90) # rotate the labels so they don't overlap
plt.tight_layout() # fit everything into the figure
HTH
关于python - 多个条形图的单个图例 matplotlib,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/41874184/