Plot your function for the x-values ranging from −12.5−12.5 to 12.512.5 需要注意: np.max只能是整数,要使用np.maximum。 输入x是一个数组 最开始需要引入包 Copyimport pandas as pd import numpy as np import matplotlib.pyplot as plt 函数如下 Copydef fancy_function(x): """Compute some...
6)) plt.plot(x, y, label='Original Function: $x^2$') plt.plot(x, integral_y, label='I...
plot(x, y, color='green', linestyle='dashed', marker='o',markerfacecolor='blue', markersize=12) kwargs是 Line2D 属性: #coding=utf8'''引用matplotlib.pylot包的两种方法:import matplotlib.pyplot as plt:使用plt对象,如plt.plot()。from pylab import * :使用对象,直接是plot()。引用numpy包。pyl...
# 使用lambda创建wave函数wave = lambda amp, angle, phase: amp * np.sin(angle + phase)# 设置参数值theta = np.linspace(0., 2 * np.pi, 100)amp = np.linspace(0, .5, 5)phase = np.linspace(0, .5, 5)# 创建主容器及其标题plt.figure()plt.title(r'Wave Function $y = \gamma \sin...
plot([x], y, [fmt], [x2], y2, [fmt2], …, **kwargs) 其中可选参数[fmt]是一个字符串,用于定义图的基本属性:颜色(color)、点型(marker)、线型(linestyle) 具体形式为:fmt = [color][marker][linestyle],注意这里的三个属性只能是每个属性的单个字母缩写,若属性用的是全名则不能用[fmt]参数来...
('Probability Density Function - how2matplotlib.com')ax1.set_ylabel('Probability Density')ax1.legend()ax2.plot(x,y_cdf,'r-',label='CDF')ax2.set_title('Cumulative Distribution Function - how2matplotlib.com')ax2.set_xlabel('X')ax2.set_ylabel('Cumulative Probability')ax2.legend()plt....
red',label="y'(x)")ax.plot(x,y3,color='green',label='y"(x)')ax.set_xlabel("x")ax....
Parameter 1 is an array containing the points on thex-axis. Parameter 2 is an array containing the points on they-axis. If we need to plot a line from (1, 3) to (8, 10), we have to pass two arrays [1, 8] and [3, 10] to the plot function. ...
# Plot a sinc function delta=2.0 x=np.linspace(-10,10,100) y=np.sinc(x-delta) # Mark delta plt.axvline(delta,ls="--",color="r") plt.annotate(r"$\delta$",xy=(delta+0.2,-0.2),color="r",size=15) plt.plot(x,y)
(17,6))# Plotting the graph using x and ywith'dodgerblue'color.# Different labels can be given to different bar plotsinthe same plot.# Linewidth determines the widthofthe line.plt.bar(x,y,label='Number of properties built',color='dodgerblue',width=1,,alpha=0.7)# plt.bar(x2,y2,...