Python-Matplotlib(2)打造一个完整的折线图

import pandas as pdimport matplotlib.pyplot as pltunrate = pd.read_csv('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()

#add_subplot(first,second,index) first means number of Row,second means number of Column.import matplotlib.pyplot as pltfig = plt.figure()ax1 = fig.add_subplot(3,2,1)ax2 = fig.add_subplot(3,2,2)ax2 = fig.add_subplot(3,2,6)plt.show()

import numpy as npfig = plt.figure()#fig = plt.figure(figsize=(3, 3))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()

unrate['MONTH'] = unrate['DATE'].dt.monthunrate['MONTH'] = unrate['DATE'].dt.monthfig = plt.figure(figsize=(6,3))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()

fig = plt.figure(figsize=(10,6))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]    plt.plot(subset['MONTH'], subset['VALUE'], c=colors[i])plt.show()

fig = plt.figure(figsize=(10,6))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()

fig = plt.figure(figsize=(10,6))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='upper left')plt.xlabel('Month, Integer')plt.ylabel('Unemployment Rate, Percent')plt.title('Monthly Unemployment Trends, 1948-1952')plt.show()