使用pandas我试图制作水平条形图,但y轴标签被切断。 对于情节我使用了这个数据..
Term value
GO:0043232~intracellular non-membrane-bounded organelle 69.40887024
GO:0043228~non-membrane-bounded organelle 68.41919153
GO:0051384~response to glucocorticoid stimulus 58.50901338
hsa04310:Wnt signaling pathway 24.56895837
GO:0016055~Wnt receptor signaling pathway 18.00929324
GO:0042127~regulation of cell proliferation 5.215295969
对于y轴标签,我使用" Term"列。
我的代码是
a=list(final_table['value'])
b=list(final_table['Term'])
data=pd.DataFrame(a,index=b,columns=['value'])
data[:31].plot(kind='barh',color='k',alpha=0.7)
matplotlib.pyplot.savefig('test.png')
水平条形图的示例如下所示:plot
我该如何解决?而不是保存图像我还尝试使用pandas和XlsxWriter(pandas and XlsxWriter)在Excel文件中制作和编写绘图,但似乎XlsxWriter没有绘制水平条形图的功能。
答案 0 :(得分:2)
你可以这样做:
In [1]: data
Out[1]:
value
Term
GO:0043232~intracellular non-membrane-bounded organelle 69.408870
GO:0043228~non-membrane-bounded organelle 68.419192
GO:0051384~response to glucocorticoid stimulus 58.509013
hsa04310:Wnt signaling pathway 24.568958
GO:0016055~Wnt receptor signaling pathway 18.009293
GO:0042127~regulation of cell proliferation 5.215296
In [2]: data.plot(kind="barh", fontsize=9, figsize=(15,8))
In [3]: plt.yticks(range(6),
["\n".join(
[" ".join(i.split("~")[:-1]),
"\n".join(i.split("~")[-1].split(" "))])
for i in a.index])
在这里你获得了空间:
"\n".join([
" ".join(i.split("~")[:-1]), # everything before the "~" () actually [0] but since the 4th line has no "~", I put all but last to avoid redundancy.
"\n".join(i.split("~")[-1].split(" ")) # here line break every word.
])
希望这会有所帮助,如果您有疑问,请不要犹豫。