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,y_2,linewidth=3,linestyle='-.') #传入x、y,通过plot绘制折线图,linestyle表示线条风格 #重新定义x x = [i/2 for i in range(4,49,2)] plt.xlabel('时间',fontsize=15) #设置x轴信息 plt.ylabel('温度',fontsize=15) #设置y轴信息 plt.title('某一天温度随时间变化情况',fontsize...
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...
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...
calendarplot(new_df['pm2_5'], fillcolor = 'grey', linecolor = 'w', linewidth = 0.1, cmap = 'jet', yearlabel_kws={'color':'black', 'fontsize':12}, fig_kws = dict(figsize=(10, 6), dpi=80)) #设置x轴刻度字体样式 plt.setp(ax[0].get_xticklabels(), fontproperties = '...
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...
在Matplotlib中,可以使用fontsize参数来设置图例的标记大小。例如: import matplotlib.pyplot as plt # 创建图例 plt.plot([1, 2, 3], label='Line 1') plt.plot([3, 2, 1], label='Line 2') plt.legend(fontsize='large') # 设置图例的标记大小为large plt.show() 复制代码 在上面的例子中,font...