Line Color You can use the keyword argumentcoloror the shortercto set the color of the line: Example Set the line color to red: importmatplotlib.pyplotasplt importnumpyasnp ypoints = np.array([3,8,1,10]) plt.plo
图例是集中于地图一角或一侧的地图上各种符号和颜色所代表内容与指标的说明,有助于更好的认识地图。...如果为True,则图例标记位于图例标签的左侧 numpoints the number of points in the legend for line 为线条图图例条目创建的标记点数 scatterpoints...scatter(x, y, 点的大小, 颜色,标记),这是最主要...
ax=plt.subplots(figsize=(12,7))# 绘制带自定义误差线的散点图ax.errorbar(x,y,yerr=yerr,fmt='o',ecolor='red',elinewidth=2,capsize=5,capthick=2,label='Custom Errorbar')# 设置图表标题和轴标签ax.set_title('Errorbar
() File "C:\Python310...\lib\site-packages\matplotlib\pyplot.py", line 360, in _warn_if_gui_out_of_main_thread if _get_required_interactive_framework...3.代码结尾加上 plt.show()后,代码就可以正常执行且不报错(注:这里的plt是我引用的别名,import matplotlib.pyplot as plt) from matplot...
x=np.linspace(-4,4,100)y=stats.norm.pdf(x,0,1)plt.plot(x,y,'b-',label='Normal Distribution')plt.fill_between(x,y,where=(x>=-1)&(x<=1),color='red',alpha=0.3)plt.fill_between(x,y,where=(x>=-2)&(x<=2),color='yellow',alpha=0.2)plt.title('Normal Distribution with Hi...
# bottomplt.plot(x, np.sin(x + 0.5), label="zorder=3", zorder=3)plt.axhline(0, label="zorder=2.5", color="lightgrey", zorder=2.5)plt.title("Custom order of elements")l = plt.legend(loc="upper right")l.set_zorder(2.5) # legend between blue and orange lineplt.show...
>>>line.get_linewidth()1.0>>>plt.getp(lines[0],"color")# 返回color属性'r'>>>plt.getp(lines[1])# 输出所有属性alpha = 1.0animated = Falseantialiased or aa = Trueaxes = Axes(0.125,0.1;0.775x0.8)... 注意getp函数仅仅能对一个对象进行操作,它有两种使用方法: 指定属性...
get_xydata(self)[source] Return thexydata as a Nx2 numpy array. get_ydata(self,orig=True)[source] Return the ydata.IforigisTrue, return the original data, else the processed data. set_color(self,color)[source] Set the color of the line. ...
'get_xminorticklabels', 'get_xscale', 'get_xticklabels', 'get_zorder'] 假设我们想自定义一个图形的坐标: x = np.linspace(0, 2, 100) fig, ax = plt.subplots # Create a figure and an axes. l1 = ax.plot(x, x, label="linear") ...
plt.plot(x, np.sin(x -5), color='chartreuse');# 能支持所有HTML颜色名称值 如果没有指定颜色,Matplotlib 会在一组默认颜色值中循环使用来绘制每一条线条。 类似的,通过linestyle关键字参数可以指定线条的风格: plt.plot(x, x +0, linestyle...