Closed 2 days ago.

I have a function in my code that grabs a CSV file (with pandas) and charts it using matplotlib.

I have code in which I am trying to plot 3d data using lines. The data that I am providing is only till the black line, yet tricountour if plotting weird lines that exceed the black line and are beyond the data.

I am creating an RPN calculator that is trying to plot the given function by a user. For example, if a user inputs “x sin 3 * plot” I would expect it to plot sin(x)*3. The code for this is below. Note: the problem is under “if prompt==”plot”:”

Is there any way of changing AnchoredText text color? I tried at.set_color(), at.patch.set_color(), tried also changing the prop through at.prop[“color”] argument but this resulted in TypeError: ‘FontProperties’ object does not support item assignment.

I’ve been working on visualizing some 2D heightmap data using matplotlib and came across a notable difference in the output when using pcolormesh vs. tripcolor. To illustrate, I’ve created side-by-side plots using the same dataset with both functions. I need to get rid of the white space in tripcolor (the size of pcolormesh is what i need).

I’m working with Matplotlib to create a heightmap visualization using pcolormesh, but I’m encountering an issue where the edges of the mesh grid are visible in the output image, despite setting edgecolors=’none’. This results in an unwanted wireframe-like appearance on the plot near the edge of the colorplot. I’m trying to achieve a smooth, uninterrupted surface visualization.
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I use a suite of python 3.7 code for my work, generating various plots and fitting lines. It works perfectly fine on my old windows 10 machine.

minimum code to reproduce import numpy as np from matplotlib import pyplot as plt fig, ax = plt.subplots(figsize = (5, 5)) fig.canvas.draw() len1 = len(np.frombuffer(fig.canvas.buffer_rgba(), dtype=’uint8′)) plt.pause(0.01) len2 = len(np.frombuffer(fig.canvas.buffer_rgba(), dtype=’uint8′)) fig.canvas.draw() len3 = len(np.frombuffer(fig.canvas.buffer_rgba(), dtype=’uint8′)) plt.pause(0.01) len4 = len(np.frombuffer(fig.canvas.buffer_rgba(), dtype=’uint8′)) print(len1, len2, len3, len4) output: 1000000 2250000 2250000 2250000 expected: 1000000 1000000 1000000 1000000 […]

I’m trying to make rectangular annotations on images but I’m unable to put annotation as I’m running into attribute erros as some modules are not recognized, the file directory has images in .jpeg and I want to make a interface on jupyter notebook to make selection on images or you can say rectangular annotations ,
the code is