利用matplotlib对数据进行可视化展示

绘制饼状图

import matplotlib.pyplot as plt

edu = ['0.2515','0.3724','0.3336','0.0368','0.0057']
labels = ['中专','大专','本科','硕士','其他']
plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']#使图像中可以显示中文
explode =[0,0,0,0.1,0]#将硕士块突出，拉离中心0.1
plt.pie(x=edu,explode = explode,labels = labels,autopct='%.2f%%')
plt.show()
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绘制柱状图

1、绘制普通柱状图

import pandas as pd

GDP = pd.read_csv('/Users/eileen/Documents/PYlearn/datas/GDP.txt',sep=' ')
GDP = GDP.drop(labels=['ID','Unnamed: 3'],axis =1).rename(columns = {
   'GDP(亿元)':'GDP','省份':'province'})
GDP.GDP = round(GDP.GDP/10000,1)

plt.style.use('ggplot')#增加绘图风格
plt.rcParams['font.sans-serif'] = ['Arial Unicode MS']
plt.bar(x=range(GDP.shape[0]),height = GDP.GDP,tick_label = GDP.province, color = 'steelblue')
#tick_label将横坐标替换为中文标签
plt.ylabel('GDP(亿万元)')#添加y轴标签
plt.title('全国前十二GDP排行')#添加图像标题

for x,y in enumerate(GDP.GDP):
   plt.text(x,y+0.1,'%s' %y,ha='center')#为图像添加文本
plt.show()
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2、对数据排序
DataFrame.sort_values(by=‘ ’,axis=0,ascending=True, inplace=False, na_position=‘last’)

3、水平柱状图

GDP.sort_values(by= 'GDP',ascending = False,inplace = True)
plt.barh(y=range(GDP.shape[0]), width = GDP.GDP, tick_label = GDP.province, color = 'indianred')
plt.xlabel('GDP(亿万元)')
plt
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