import matplotlib.pyplot as plt
R = 2
for x in range(0,50):
y = x**R
# plt.plot(x,y,marker = 'o')
plt.plot(x,y,'--')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('plot test')
plt.legend()
plt.show()Thanks for your reply. However, it will produce points even if i used line code lines.jedishrfu said:You might find your answer here:
https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.plot.html
plt.plot(x,y,'-')Matplotlib is a Python library used for creating high-quality visualizations such as graphs, charts, and plots. It provides a wide range of customizable features to create professional-looking plots.
To plot y=x^2 with Matplotlib, you first need to import the library and create two arrays containing the x and y values. Then, you can use the plt.plot() function to plot the data and use plt.show() to display the plot.
Yes, you can customize the appearance of your plot in various ways using Matplotlib. You can change the color, style, and size of the plot, add labels and titles, and even add multiple plots on the same figure.
To save your plot as an image, you can use the plt.savefig() function. This will save the plot in the specified file format, such as PNG or JPG. You can also specify the resolution and quality of the image.
No, Matplotlib can also create 3D plots using the mpl_toolkits.mplot3d module. This allows you to plot data in three dimensions, adding depth and perspective to your visualizations.