Python matplotlib之折线图的各种样式与画法总结

from numpy import *
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pylab as pl
from mpl_toolkits.axes_grid1.inset_locator import inset_axes

y1 = [0.92787363, 0.92436059, 0.92380563, 0.92169979, 0.92215771]
y2 = [0.87410227, 0.85341922, 0.84874221, 0.83406411, 0.83610876]
y3 = [0.77410227, 0.75341922, 0.74874221, 0.73406411, 0.73610876]
y4 = [0.67410227, 0.65341922, 0.64874221, 0.63406411, 0.63610876]
y5 = [0.57410227, 0.55341922, 0.54874221, 0.53406411, 0.53610876]
y6 = [0.47410227, 0.45341922, 0.44874221, 0.43406411, 0.43610876]
y7 = [0.37410227, 0.35341922, 0.34874221, 0.33406411, 0.33610876]
y8 = [0.27410227, 0.25341922, 0.24874221, 0.23406411, 0.23610876]
y9 = [0.17410227, 0.15341922, 0.14874221, 0.13406411, 0.13610876]
y10 = [0.07410227, 0.05341922, 0.04874221, 0.03406411, 0.03610876]
y11 = [-0.07410227, -0.05341922, -0.04874221, -0.03406411, -0.03610876]
y12 = [-0.17410227, -0.15341922, -0.14874221, -0.13406411, -0.13610876]

x = ['1','2','3','4','5']

plt.figure() #figsize是图片的大小`fig = plt.figure(figsize = (7,5))
ax=plt.axes()

# plt.grid(zorder=0, linewidth = "0.5", linestyle = "-.")  #显示网格，zorder控制网格显示的前后, color='#738CBC'   , color='#DFD478'

ax.plot(x, y1, marker='s', linestyle = '-.', lw=2, label='q=1') #‘s' : 方块状
ax.plot(x, y2, marker='o', linestyle = '-.', lw=2, label='q=2') #o' : 实心圆
ax.plot(x, y3, marker='^', linestyle = 'dotted', lw=2, label='q=3') #‘^' : 正三角形
ax.plot(x, y4, marker='v', linestyle = 'dotted', lw=2, label='q=4') #‘v' : 反正三角形
ax.plot(x, y5, marker='+', linestyle = 'dotted', lw=2, label='q=5') #‘+' : 加号
ax.plot(x, y6, marker='*', linestyle = 'dotted', lw=2, label='q=6') #‘*' : 星号
ax.plot(x, y7, marker=',', linestyle = 'dotted', lw=2, label='q=7') #‘,'：点
ax.plot(x, y8, marker='x', linestyle = ':', lw=2, label='q=8') #‘x' : x号  
ax.plot(x, y9, marker='p', linestyle = 'dashed', lw=2, label='q=9') #‘p' : 五角星  
ax.plot(x, y10, marker='1', linestyle = 'dotted', lw=2, label='q=10') #‘1' : 三脚架标记  
ax.plot(x, y11, marker='2', linestyle = 'dotted', lw=2, label='q=11') #‘2' : 三脚架标记 
ax.plot(x, y12, marker='o', linestyle = '-', lw=2, label='q=12', markerfacecolor='white') #空心圆

plt.legend(bbox_to_anchor=(1.20, 1), loc=1, borderaxespad=0)   #显示标签，并放在外侧
plt.xlabel('p',fontsize=20) #设置y轴的标签
plt.ylabel('values',fontsize=20) #设置y轴的标签
plt.savefig("values",dpi=500, bbox_inches='tight') # 保存图片

ax.plot(x, y12, marker='o', linestyle = '-', lw=2, label='q=12', markerfacecolor='white') #空心圆

y1 = [0.92787363, 0.92436059, 0.92380563, 0.92169979, 0.92215771]
x = ['1','2','3','4','5']

plt.figure(figsize = (13,10)) # 设置画布 大小为13*10
ax=plt.axes()

plt.grid(zorder=0, linewidth = "0.5", linestyle = "-.")  #显示网格，zorder控制网格显示的前后

ax.plot(x, y1, marker='o', ls='-', lw=2, label='q=1', color='#738CBC')

plt.legend()   #显示标签
plt.xlabel('p',fontsize=20)
plt.ylabel('ACC',fontsize=20)

from matplotlib import pyplot as plt
# 添加网格
# 选择字体显示中文
plt.rcParams['font.family'] = ['Microsoft YaHei']
# 定义坐标数据
y = [0.92787363, 0.92436059, 0.92380563, 0.92169979, 0.92215771]
x = ['1','2','3','4','5']

# 第一张表
plt.subplot(2, 2, 1)
# 传入数据
plt.plot(x, y, color='#738CBC', marker='o')
# 添加标题
plt.title("第一张表,加坐标和颜色", color='blue', fontsize=10)
# 添加网格
plt.grid()

# 第二张表
plt.subplot(2, 2, 2)
plt.plot(x, y)
plt.title("垂直网格线,1宽", color='blue', fontsize=10)
plt.grid(axis='x', linewidth=1)

# 第三张表
plt.subplot(2, 2, 3)
plt.plot(x, y)
plt.title("水平网格线,破折线,0.5宽", color='blue', fontsize=10)
plt.grid(axis='y', linestyle='--', linewidth=0.5)

# 第四张表
plt.subplot(2, 2, 4)
plt.plot(x, y)
plt.title("蓝色虚线网格线", color='blue', fontsize=10)
plt.grid(color='b', linestyle=':')

# 总标题
plt.suptitle("网格对比", color='blue', fontsize=15)
plt.tight_layout()  # 自动调整子图参数，使之自动填充整个图像区域
# 绘图
plt.show()