I am building a docker image to run a flask app, which is named dp-offsets for context. This flask app uses matplotlib. I have been unable to fully install matlplotlib despite including all of the necessary dependencies (i think). The…
My legend labels in matplotlib are failing with unicode characters. For instance, #!/usr/bin/python # -*- coding: utf-8 -*- import matplotlib.pyplot as plt plt.plot(0,0, label='foo Д') plt.legend() fails with: Traceback (most recent call last): File "/home/meuser/.local/lib/python3.9/site-packages/matplotlib/texmanager.py", line 252, in _run_checked_subprocess report…
I am creating a simple script which reads over a CSV file column, creates a new column with categories and then produces a piechart. Currently the piechart has percents attached to each wedge. How do I move the percents to…
import matplotlib.pyplot as plt import numpy as np fig = plt.figure(figsize=(13, 13)) ax1 = plt.subplot( projection='polar') ax1.set_theta_zero_location('N') ax1.set_thetagrids(np.arange(0.0, 360.0, 25.7143))# /14 ax1.set_rgrids(np.arange(0.8,1,)) amount1 = [('89','c'),'04','76',('93','a'),'56', '11','45','61','85',('37','b'), '51','97','24','07'] r = 0.8 #theta = 25.7143 * range(14) # amount1:add to intersections plt.show()…
I am trying to "fold" an exponential plot (and a fit to it - see the first image below) around a discrete interval on the x-axis (a.k.a a "modulo plot"). The aim is that after 10 x-units the exponential is…
Here is a piece of code (running on Linux CentOS 7.7.1908, x86_64) import torch #v1.3.0 import numpy as np #v1.14.3 import matplotlib.pyplot as plt from astropy.io.fits import getdata #v3.0.2 data, hdr = getdata("afile.fits", 0, header=True) #gives dtype=float32 2d array plt.imshow(data)…
I am attempting to save a plot in "layers". First I want to save just the grid. Then I want to save just my scatter points. And finally I want to save just my trend line, but I can't figure…
I would like to make a plot with matplotlib in python with rectangle lines likes this one: Sadly I have no idea how to call this kind of plot (I photoshoped this one together, it's kind of like a bar…
For a plot like this: import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 2 * np.pi, 400) y = np.sin(x ** 2) f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharey=True) ax1.plot(x, y) ax2.scatter(x, y) ax3.scatter(x, 2…
When dealing with overlapping high density scatter or line plots of different colors it can be convenient to implement additive blending schemes, where the RGB colors of each marker add together to produce the final color in the canvas. This…