plt.plot(x,y,linewidth=5)# 添加x,y轴名称 plt.xlabel('x',fontsize=14)# fontsize:设置字体大小 plt.ylabel('x^3',fontsize=14)plt.rcParams['font.sans-serif']=['SimHei']# 用来正常显示中文标签,字体可自由设置电脑中自带的字体 # 给图标添加标题 plt.title('折线绘制图',fontsize=24)# 显示...
plt.plot(x,x+0,'--g',label='--g') #默认‘-’为一条直线 plt.plot(x,x+1,'-.r',label='-.r') plt.plot(x,x+2,':b',label=':b') plt.plot(x,x+3,'.k',label='.k') plt.plot(x,x+4,',c',label='.,c') plt.plot(x,x+5,'*y',label='*y') plt.plot(x,x+6,...
See Also --- scatter : XY scatter plot with markers of varying size and/or color ( sometimes also called bubble chart). Notes --- **Format Strings** A format string consists of a part for color, marker and line:: fmt = '[color][marker][line]' Each of them is optional. If not ...
plt.plot(x,y1,color='red',linewidth=1.0,linestyle='--',label='linear line') 1. 2. 添加如下代码 plt.legend(loc='upper right') 1. 下图中的右上角显示了每个图的名称 如果想修改label,除了在plot中修改以外,可以先将图像用变量存储起来 l2, = plt.plot(x,y2,label='square line') l1, = p...
plot(x,y)plt.title("A Simple Line Plot with Bold Title",fontdict={'weight':'bold','size':...
importmatplotlib.pyplot as plt x= [1,2,3,4] y= [1,2,3,4] y2= [2,4,6,8]#maker/makersize/markerfacecolor/markeredgecolor/color(指的是linecolor)/linestyle/linewidth/markeredgewidth//plot函数有很多的参数可以选择//主要有线的类型linestyle//线的宽度linewidth//线的颜色color//maker的样式marker...
⑤'size':字体大小,可以是数字,或者是'small', 'large', 'medium'。 importmatplotlib.pyplotaspltimportmatplotlibimportnumpyasnp matplotlib.use('TkAgg')plt.figure()a=np.linspace(0,1,10);font={'family': 'Arial', 'weight': 'bold', 'size': 14}plt.plot(a,a**2,':',color='darkblue',lin...
x=np.linspace(0,10,100)y=np.sin(x)plt.figure(figsize=(10,6))plt.plot(x,y,linestyle='-',label='Solid')plt.plot(x,y+1,linestyle='--',label='Dashed')plt.plot(x,y+2,linestyle='-.',label='Dash-dot')plt.plot(x,y+3,linestyle=':',label='Dotted')plt.title('Basic Line Style...
x = np.linspace(0, 2 * np.pi, 50)offsets = np.linspace(0, 2 * np.pi, 4, endpoint=False)yy = np.transpose([np.sin(x + phi) for phi in offsets])fig, ax = plt.subplots(figsize=(8, 4))ax.set_prop_cycle(line_prop_cycler) # Set propcycle before plottingax.plot(x, yy...
plot1.show(frame=True,legend_loc='lower right',legend_markerscale=0.6,legend_font_size=10) 本来自己的原意是在legend中只出现1个圆点,1个点代表在这个二维空间中出现的10个点的意思是”Original Data Points“ ,但结果是出现了3个点,影响可读性。