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point1 = [1, 2] point2 = [3, 4] x_values = [point1[0], point2[0]] gather x-values. Y_values = [point1[1], point2[1]] gather y-values. Plt. Plot(x_values, y_values)
# importing two required modules. Import NumPy as NP. import matplotlib. Pyplot as PLT. # Creating a NumPy array. X = NP. array([1]) Y = NP. array([5]) # Plotting point using scatter method. Plt. Scatter(X, Y)
Use keyword arms: PLT. Plot(x, y, line width=2.0) Use the setter methods of a Line2D instance. Plot returns a list of Line2D objects. e.g., line1, line2 = plot(x1, y1, x2, y2). Use the set() command. The example below uses a MATLAB-style command to set multiple properties on a list of lines.
Define the x-axis and corresponding y-axis values as lists. Plot them on canvas using. Plot() function. Give a name to x-axis and y-axis using. Xlabel() and. Ylabel() functions. Give a title to your plot using. Title() function. Finally, to view your plot, we use. Show() function.
0:05 4:03 Suggested clip Matplotlib Tutorial 2 | Plotting data from lists using Pilot API YouTubeStart of suggested client of suggested clip Matplotlib Tutorial 2 | Plotting data from lists using Pilot API
import pilot as PLT. X=[1,2,3,4,5,6,7,8] y=[5,2,4,2,1,4,5,2] scatter(x, y, label='skit scat', color='k', s=25, marker=o) label('x') label('y') title('Scatter Plot') legend()
2:17 4:10 Suggested clip Plot Circles using the Parametric Equation and Python Matplotlib YouTubeStart of suggested client of suggested clip Plot Circles using the Parametric Equation and Python Matplotlib
set(slim=None, slim=None), with the slim and slim arguments set to the upper and lower bounds of the x and y axes. Create a circle with center (x, y) and radius r using matplotlib. Pyplot. Circle((x, y), r) and add it to the axis with matplotlib.
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