笔记Day03-1 图的绘制 matplotlib

折线图

import pandas as pd
import  matplotlib.pyplot as plt
unrate=pd.read_csv("E:/唐宇迪数据集/unrate.csv")
unrate['DATE']=pd.to_datetime(unrate['DATE'])
first_twelve=unrate[0:12]
plt.plot(first_twelve['DATE'],first_twelve['VALUE'])
plt.show()

import pandas as pd
import  matplotlib.pyplot as plt
unrate=pd.read_csv("E:/唐宇迪数据集/unrate.csv")
unrate['DATE']=pd.to_datetime(unrate['DATE'])
first_twelve=unrate[0:12]
plt.plot(first_twelve['DATE'],first_twelve['VALUE'])
plt.xticks(rotation=45)
plt.show()

import pandas as pd
import  matplotlib.pyplot as plt
unrate=pd.read_csv("E:/唐宇迪数据集/unrate.csv")
unrate['DATE']=pd.to_datetime(unrate['DATE'])
first_twelve=unrate[0:12]
plt.plot(first_twelve['DATE'],first_twelve['VALUE'])
plt.xticks(rotation=90)
plt.xlabel('Month')
plt.ylabel('Unemployment Rate')
plt.title('Monthly Unemployment Trends,1948')
plt.show()

子图

import matplotlib.pyplot as plt
fig=plt.figure()#指定画图区域
ax1=fig.add_subplot(2,2,1)
ax2=fig.add_subplot(2,2,2)
ax3=fig.add_subplot(2,2,4)
plt.show()

import  matplotlib.pyplot as plt
import numpy as np
fig=plt.figure(figsize=(10,5))#figsize 指定长度 和宽度
ax1=fig.add_subplot(2,1,1)
ax2=fig.add_subplot(2,1,2)
ax1.plot(np.random.randint(1,5,5),np.arange(5))
ax2.plot(np.arange(10)*3,np.arange(10))
plt.show()

#在同一个图中画出两条折线
import pandas as pd
import matplotlib.pyplot as plt
unrate=pd.read_csv("E:/唐宇迪数据集/unrate.csv")
unrate["DATE"]=pd.to_datetime(unrate['DATE'])
unrate['MONTH']=unrate['DATE'].dt.month
plt.plot(unrate[0:12]['MONTH'],unrate[0:12]['VALUE'],c='red')
plt.plot(unrate[12:24]['MONTH'],unrate[12:24]['VALUE'],c="blue")
plt.show()

import matplotlib.pyplot as plt
import pandas as pd
unrate=pd.read_csv("E:/唐宇迪数据集/unrate.csv")
unrate['DATE']=pd.to_datetime(unrate['DATE'])
unrate['MONTH']=unrate['DATE'].dt.month
colors=['red','blue','green','orange','black']
for i in range(5):
    start_index=i*12
    end_index=(i+1)*12
    subset=unrate[start_index:end_index]
    label=str(1948+i)
    plt.plot(subset['MONTH'],subset['VALUE'],c=colors[i],label=label)
plt.legend(loc='best')
#print(help(plt.legend))
plt.show()

import matplotlib.pyplot as plt
import pandas as pd
unrate=pd.read_csv("E:/唐宇迪数据集/unrate.csv")
unrate['DATE']=pd.to_datetime(unrate['DATE'])
unrate['MONTH']=unrate['DATE'].dt.month
colors=['red','blue','green','orange','black']
for i in range(5):
    start_index=i*12
    end_index=(i+1)*12
    subset=unrate[start_index:end_index]
    label=str(1948+i)
    plt.plot(subset['MONTH'],subset['VALUE'],c=colors[i],label=label)
plt.legend(loc='best')
plt.xlabel('MONTH,Integer')
plt.ylabel('Unemployment Rate,Percent')
plt.title('Monthly Unemployment Trends,1948-1952')
#print(help(plt.legend))

条形图（柱状图）

未完待续