matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, verts=<deprecated parameter>, edgecolors=None, *, plotnonfinite=False, data=None, **kwargs) 使用的数据: x, y float or array-like, shape (n, )...
#First create some toy data: x = np.linspace(0, 2*np.pi, 400) y = np.sin(x**2) #Creates just a figure and only one subplot fig, ax = plt.subplots() ax.plot(x, y) ax.set_title('Simple plot') #Creates two subplots and unpacks the output array immediately f, (ax1, ax2...
更准确地说,plt.plot接受数组作为输入,每列对应一个新行进行绘制。下面是一个简单的例子,用一个plt.plot调用绘制了3条线: import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1) x = np.concatenate([x] * 3, axis=1) # generate 3 curves ...
On executing the above code we will get the following output − Print Page Previous Next
Each stream plot represents the flow or movement of a vector field using streamlines, and combining them allows for the comparison of multiple vector fields or the same vector field under different conditions.ExampleIn here, we are creating a grid of points and defining vector fields for two ...
To plot multiple 3D cones, you can create separate cone data and plot them on the same axis: import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure(figsize=(12, 10)) ax = fig.add_subplot(111, projection='3d') ...
Besides providing the canvas on which the plot is drawn, the Figure object also controls things like the size of the plot, its aspect ratio, the spacing between multiple plots drawn on the same canvas, and the ability to output the plot as an image. The left-most square in the following...
plt.plot(y2) plt.show() Result: Try it Yourself » In the sameplt.plot()function, multiple lines can be plotted by including the x- and y-axis points for each line. (We only provided the default values (0, 1, 2, 3) for the points on the x-axis in relation to the y- axis...
curves', fontsize=19, fontweight='bold') # Plot the subplots # Plot 1 plt.subplot(2, 2, 1) plt.plot(x, y1, 'g', linewidth=2) plt.title('Plot 1: 1st Degree curve', fontsize=15) # Plot 2 plt.subplot(2, 2, 2) plt.scatter(x, y2, color='k') plt.title('Plot 2: 2nd...
ax.plot_surface(X, Y, rv.pdf(pos), cmap="plasma") plt.show() Output: Plot two different 3D distributions We can add two different 3D plots to the same figure, with the help of thefig.add_subplotmethod. The 3-digit number we supply to the method indicates the number of rows and ...