>>> plot(x, y) # plot x and y using default line style and color >>> plot(x, y, 'bo') # plot x and y using blue circle markers >>> plot(y) # plot y using x as index array 0..N-1 >>> plot(y, 'r+') # ditto, but with red plusses You can use `.Line2D` prope...
matplotlib中有两种plot绘制折线的方式,分别是 matplotlib.axes.Axes.plot(……) matplotlib.pyplot.plot(……) 这两者的作用都是绘制折线,参数也相同,区别在于绘制的位置,Axes.plot用于在子画布上绘图,而pyplot.plot则是在总画布上绘图 比如我们有 fig, axs = plt.subplots(2, 2)#将一个画布分为2*2的子画布...
xdata: 1D array ydata: 1D array zorder: float 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 = '[...
如果数据点稀疏或存在缺失值,plot函数绘制的图形将呈现出非连续的状态。 例如,如果数据点之间存在较大的间隔,或者某些数据点被设置为NaN(表示缺失值),则绘制的图形将是断开的。 示例代码: python import numpy as np import matplotlib.pyplot as plt x = np.array([1, 2, 3, 5, 6, 7]) # 稀疏的x坐标...
plot(x,y1)#plot()画出曲线 plt.show()#显示图像 matplotlib的figure为单独图像窗口,小窗口内还可以有更多的小图片。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 x=np.linspace(-3,3,50)#50为生成的样本数 y1=2*x+1 y2=x**2 plt.figure(num=1,figsize=(8,5))#定义编号为1 大小为(8,...
Plot 2D or 3D data. Parameters --- xs : 1D array-like x coordinates of vertices. # X坐标轴 ys : 1D array-like y coordinates of vertices. # y坐标轴 zs : scalar or 1D array-like z coordinates of vertices; either one for all points or one for each point....
x=np.array([0,1,2,3,4,5])y=np.array([0,2,1,3,7,4])x_new=np.linspace(0,5,100)tck=interpolate.splrep(x,y,s=0)y_new=interpolate.splev(x_new,tck,der=0)plt.figure(figsize=(10,6))plt.plot(x,y,'o',label='Original Data')plt.plot(x_new,y_new,'-',label='Cubic Spline...
ax.violinplot(dataset,positions=None,vert=True,widths=0.5,showmeans=False,showextrema=True,showmedians=False,quantiles=None,points=100,bw_method=None,*,data=None) dataset,输入的数据,Array or a sequence of vectors position,violins的位置,array-like, default: [1, 2, ..., n] vert,violins是否...
黑色),w(白色)# 抛物线x = np.linspace(-5, 5, 50)y = x**2# 画图：设置颜色plt.plot(x,y,c="r")[<matplotlib.lines.Line2D at 0x1d65ba7d990>]第二种方式plt.plot(x,y,color="red")[<matplotlib.lines.Line2D at 0x1d65c0a7190>]# ls：line style 设置样式红色实线plt.plot(x,y,c="...
xdata 1D array ydata 1D array zorder float Markers characterdescription '.' point marker ',' pixel marker 'o' circle marker 'v' triangle_down marker '^' triangle_up marker '<' triangle_left marker '>' triangle_right marker '1' tri_down marker '2' tri_up marker '3' tri_left marker...