来自熊猫的 Python 直方图

Question

我正在尝试从该数据集中制作直方图：

我想要这样的图表：

我写了这段代码：

import pandas as pd

import matplotlib.pyplot as plt

data = pd.read_csv('Data_Istogramma.csv', sep=';')

plt.hist(x =(data.iloc[0,1:6],data.iloc[1,1:6]),bins = 5,edgecolor = 'black',label =['80%','76.8%'])

plt.show()

运行后，我得到这个图表：

谁能帮我解决这个问题？

Answer 1

使用字典定义行，标题行作为索引：import pandas as pdimport matplotlib.pyplot as plteighty = [47.83, 5.24, 18.74, 22.22, 34.92, 137.75]seventy_six = [61.47, 6.18, 54.37, 3.22, 16.52, 156.38]LP = [">850",&nbsp; &nbsp; &nbsp; "850-700",&nbsp; &nbsp; &nbsp; "700-425",&nbsp; &nbsp; &nbsp; "425-250",&nbsp; &nbsp; &nbsp; "<250",&nbsp; &nbsp; &nbsp; "MTOT"&nbsp; &nbsp; &nbsp; ]df = pd.DataFrame({'80': eighty,&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;'76.8': seventy_six},&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; index=LP)ax = df.plot.bar(rot=0)plt.show()退货：

Answer 2

您可以使用ploty来实现这一点。您可以通过以下方式安装pip install plotly#sample dfimport pandas as pddf=pd.DataFrame({&nbsp; &nbsp; 'lp':[70,85],&nbsp; &nbsp; '>850':[34,39],&nbsp; &nbsp; '700-850':[38,39],&nbsp; &nbsp; '425-700':[13,34],&nbsp; &nbsp; '250-425':[16,2],&nbsp; &nbsp; '<250':[25,10]&nbsp; &nbsp;&nbsp;})#reshape the dfdf=df.melt(id_vars=['lp'])&nbsp;&nbsp;&nbsp;#use plotly libraryimport plotly.graph_objects as gofig = go.Figure(data=[&nbsp; &nbsp; go.Bar(name='70', x=df[df['lp']==70]['variable'], y=df[df['lp']==70]['value']),&nbsp; &nbsp; go.Bar(name='85', x=df[df['lp']==85]['variable'], y=df[df['lp']==85]['value']),])# Change the bar modefig.update_layout(barmode='group')fig.show()