matplotlib.pyplot常用画图方式函数封装（一）——.plot绘制折线图及设置坐标轴箭头完美解决

py.plot常见绘图设置函数封装

本文主要针对运用py.plot作图时的常用设置进行了函数封装，一般来说，py.plot常用作绘制函数图像和折线图，对于绘制函数图像时的坐标轴箭头问题，本文做出了完美解决。进行自主封装的函数设定了许多默认参数，调用者可根据自己的具体业务进行设定。

绘制函数图像（完美解决坐标轴添加箭头）

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from matplotlib import font_manager
import seaborn as sns

# 设置字体
ft = font_manager.FontProperties(fname = "C://Windows/Fonts/simsun.ttc",size = 18)
def function_fig(df,grid = True,save = False,dpi_value = 72,fig_size = (20,8),show = True,arrow = True):
    # 初始化画布
    figure = plt.figure(figsize = fig_size,dpi = dpi_value)
    ax = figure.add_subplot(111)

    # 绘图
    plt.plot(df.iloc[:,0],df.iloc[:,1],color = "blue",linewidth = 2,
          linestyle = "-")
    # 设置坐标轴显示
    plt.xticks(fontproperties = ft,size = 22)
    plt.yticks(fontproperties = ft,size = 22)

    # 设置坐标轴显示范围
    plt.axis([-max(abs(df.iloc[:,0].min()-0.05*(df.iloc[:,0].max()-df.iloc[:,0].min())),abs(df.iloc[:,0].max()+0.05*(df.iloc[:,0].max()-df.iloc[:,0].min()))),
             max(abs(df.iloc[:,0].min()-0.05*(df.iloc[:,0].max()-df.iloc[:,0].min())),abs(df.iloc[:,0].max