03-matplotlib- 折线图实现

import pandas as pd import matplotlib.pyplot as plt import numpy as np # ------------------------1、基础------------------------ unrate = pd.read_csv("unrate.csv") unrate["DATE"] = pd.to_datetime(unrate["DATE"]) # print(unrate.head(12)) first_twelve = unrate[0:12] plt.plot(first_twelve["DATE"],first_twelve["VALUE"]) plt.xticks(rotation=90) # 倾斜90度展示 plt.xlabel("Month") plt.ylabel("Unemployment Rate") plt.title("Monthly Unemployment Trends 1948") plt.show()

# ------------------------2、画子图------------------------ fig = plt.figure(figsize=(10,6))# 10代表长度，6代表宽度 ax1=fig.add_subplot(2,2,1) # 添加子图 ax2=fig.add_subplot(2,2,2) ax3=fig.add_subplot(2,2,4) # 第三个数字（1、2、4）代表：2*2个方块图中，显示的方块 # 在子图ax1 ax2上画图 ax1.plot(np.random.randint(1,5,5),np.arange(5)) ax2.plot(np.arange(10)*3,np.arange(10)) plt.show()

# ------------------------3、双线------------------------ unrate['MONTH'] = unrate['DATE'].dt.month unrate['MONTH'] = unrate['DATE'].dt.month fig = 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()

# ------------------------4、各条线代表含义------------------------ unrate['MONTH'] = unrate['DATE'].dt.month unrate['MONTH'] = unrate['DATE'].dt.month 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') # best 将标签label 根据实际情况 放在最合适的位置 plt.xlabel("Month，Integer") plt.ylabel("Unemployment Rate,Percent") plt.title("Monthly Unemployment Trends,1948-1952") plt.show()