As in the title: pl = plt.contour(X,Y,Z,levels=[0]) paths = pl.allsegs I wonder how are the data points in paths ordered. Specifically is it oriented clockwis
I have a plot with the numbers 1-9 on the y axis. I have a data frame (gaze data) with numbers in this range over time. ex: 333337777772221115556668888
Is there a way to get from a to b in the following figure with scripting? I am using seaborn.clustermap() to get to a (i.e. the order of the rows are preserved.
Using python I'm trying to plot a sin wave and random distribution, then show where the ratio is greater than or equal to 3. I think I'm 90% of the way there bu
I have many scatterplots, that show subsequent events in time (i uploaded two pictures).I would like to separate these clusters of points and find their center
I have a nested dict that looks like this. {A: { 'apples': 3, 'bananas':5, 'oranges':6, 'kiwis':9}, B: { 'apples': 1, 'ban
I wanted to use matplotlib in colab but it didn't work. As this link says I tried both %matplotlib inline and %matplotlib notebook but they both didn't work. Bu
I have a relation such as 'x^3 + y^3 + z^3 - c = 0'. c is constant and would be any number, and of course the equation may be changed. How can
I have this below code in which I am getting data packets from UDP from the game. However, when running this code I am getting a blank plot, I want to plot Spee
I have a dataframe that looks like: User A B C ABC 100 121 OPEN BCD 200 255 CLOSE BCD 500 134 OPEN DEF 600 1
I'm pretty new with python. For the past two days I have been trying to figure out how to scale the color of a 3d plot (Antenna Radiation Pattern) with matplotl
I have data in which values are ranging from small negative values to positive 1000. Since the minimum and maximum differ by large scales, I first set locator a
I'm trying to use the latex interpreter for figure labels. I generate my figures using the matplotlib library. I am having trouble finding an answer to this co
import matplotlib.pyplot as plt import numpy as np x = np.array([tau for tau in range(365)]) y = np.random.normal(0,1, 365) plt.plot(x,y) plt.xlabel(r"$\tau$")
I am trying to enlarge the x-axis labels (that is 'onshore', 'offshore', and 'solar'), along with rotating them. But whenever I increase the s
I was going through a tutorial, but as I was running the code in an IDE, an error occurred. The link to the tutorial is here: https://thecleverprogrammer.com/20
I have an array of images which I have reshaped as size (28, 28, 3) of 100 images. I want to save the plot which the below code generates, but without display
I have this image and I don't know how to remove the axis labels from the top and right hand side. I have tried: ax.spines['right'].set_visible(False) ax.s
For my master thesis i am researching dqn behaviour by recreating a hunter and prey enviroment. This enviroment is 2D and should fit around 1000 dots that are c
I have the following code to produce a bar plot in seaborn import pandas as pd import matplotlib.pyplot as plt import seaborn as sns df = pd