so I am making 4 types of plots in matplotlib through functions. Those include Pie Charts, Line Charts, Scatter Plot and area graphs. I want to get a numpy array of it, so I can display it using opencv2 or something else on django. I have tried this so far:
import matplotlib.pyplot as plt
import numpy as np
# Make a random plot...
fig = plt.figure()
fig.add_subplot(111)
# If we haven't already shown or saved the plot, then we need to
# draw the figure first...
fig.canvas.draw()
# Now we can save it to a numpy array.
data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep='')
data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
But the problem is I cannot use a plot here, I have to use a figure which I don't want to use. I tried doing plt.plot([1,2,3,4,5])
for line graph as a test, but it turns out it returns a list, while I need a figure to use the tostring_rgb() What should be the alternative to this?
EDIT: Suggested in comments for another question, I am not wanting to make a figure, I want to make a normal Plot with plt.plot() of line graph, and also plt.pie()