Python is an interpreter based software language that processes everything in digital. In order to obtain a smooth sine wave, the sampling rate must be far higher than the prescribed minimum required sampling rate, that is at least twice the frequency –as per Nyquist-Shannon theorem. Hence,...
# create a figure figure = fpl.Figure()# add the data to the figure sine_wave = figure[0, 0].add_line(data=data, thickness=10)figure.show()现在，想要正弦波的每个第三个点更改为红色。如果可视化中的数据可以视为一个数组，那么这个需求涉及的数据与通常的NumPy数组操作完全一样，仅需：sine_wave...
import matplotlib.pyplot as plt import numpy as np # 确保数据是数值型的 x = np.linspace(0, 10, 100) y = np.sin(x) # 创建图形对象 plt.figure() # 绘制图形 plt.plot(x, y, label='Sine Wave') # 添加图例 plt.legend() # 显示图形 plt.show() 应用场景 数据分析:用于直观展示数据的趋...
importmatplotlib.pyplotaspltimportnumpyasnp# 生成数据x=np.linspace(0,10,100)y=np.sin(x)# 绘制线条和Markerplt.plot(x,y,color='blue',label='Sine Wave',linewidth=2)# 设置线条颜色plt.scatter(x,y,color='red',label='Data Points',marker='o')# 设置Marker颜色# 添加图例plt.legend()# 添加...
Colorful Sinewave 七彩正弦波 R also allows combining multiple graphs into a single image for our viewing convenience using the par() function. We only need to set the space before calling the plot function in our graph. R还允许使用par()函数将多个图形组合为一个图像,以方便我们查看。 我们只需要...
Example 1: Plotting sine wave using plot()The code we have is as follows −t = 0:0.01:2*pi; y = sin(t); plot(t, y); In this example, we first define a time vector t using the colon operator (:) to generate values from 0 to 2*pi with a step size of 0.01. Next, we ...
ax.set_title("sine wave") ax.set_xlabel('angle') ax.set_ylabel('sine') 调用axes 对象的 plot() 方法,对 x 、 y 数组进行绘图操作: ax.plot(x,y) 完整的代码如下所示: from matplotlib import pyplot as plt import numpy as np import math ...
参考:How to Add Markers to a Graph Plot in Matplotlib with Python 在数据可视化的过程中,标记(Markers)在图表中扮演着重要的角色,它们帮助我们突出显示图表中的特定数据点,使得这些点更加显眼,从而更容易被观察者识别和理解。Matplotlib是一个非常强大的Python绘图库,它提供了丰富的标记样式...
# For offline users: Calculates sin values (0-2*pi) and plots a sine wave. python3 -c ' from math import sin, pi data = "\n".join(f"{i*pi/50}\t{sin(i*pi/50)}" for i in range(101)) print(data)' | uplot linescatter...
anddrawnowcommand. Thedrawnowcommand updates figures on each callback. To draw an animated plot, you have to use it inside a loop to plot one variable in one iteration and update the figure using thedrawnowcommand. For example, let’s draw the animated plot of a sine wave. See the code...