I've been trying to plot the decision boundary of my neural network which I used for binary classification with the sigmoid function in the output layer but wit
I am making a polar plot and this is the output of my code Everything is working fine, I just need to know how can I change the edgecolor of the inner-most cir
I'm trying to understand how Shapely works. I can draw a simple line with the following code: import matplotlib.pyplot as plt A = Point(0,0) B = Point(1,1)
This may sound like a very naive question. However, to me, it's quite fundamental: Can python plot variables without putting them into arrays or lists? I couldn
When I plot my sklearn decision tree using sklearn.tree.plot_tree(), the nodes are overlapping on the deeper levels and I cannot read what is in the nodes. It i
I'm wondering if there's a way to change the order the features in a SHAP beeswarm plot are displayed in. The docs describe "transforms" like using shap_values.
So I'm trying to find the psd of various signals sampled at different frequencies and compare them in the 0-50Hz range I have this code: for i, th in enumerat
I used a convolutional neural network (CNN) for training a dataset and I want to plotting accuracy for this. Before, I tried to use matplotlib but I couldn't su
I am making a python plot using matplotlib. At the start of the code, I use: plt.rcParams['font.family'] = 'serif' plt.rcParams['font.serif'] = ['Times New Ro
I am trying to recreate the following graph in plotnine. It's asking me for more details but I don't want to distract from the example. I think it's pretty obvi
I am trying to plot Cassini ovals in Python using these parametric equations for x,y. https://mathcurve.com/courbes2d.gb/cassini/cassini.shtml Here is my progra
I have a visualization code like: for cluster in ready_couples_2.cluster.unique(): sns.set(rc={'figure.figsize':(11.7,8.27)}) # mask the cluster of int
I am using matplotlib to plot my image. import pandas as pd from matplotlib import pyplot as plt x = ['09:30', '09:33', '09:40', '09:43', '09:50', '09:53', '1
I'd like to plot a 2d array using matplotlib based on fixed value-based color regions. For example, fixed color regions are 0 < value < 5 = red, 5 < va
I want to determine the X value that has the highest pick in the histogram. The code to print the histogram: fig=sns.displot(data=df, x='degrees', hue="TYPE", k
Currently, I have THREE function to create the graphic, namely get_image_1, get_image_2, and get_image_3 as shown in the function below. def get_image_1():
I want plot the axis in a zebra style similar to this: Below is my code: import matplotlib.pyplot as plt import cartopy.io.shapereader as shpreader import c
I want plot the axis in a zebra style similar to this: Below is my code: import matplotlib.pyplot as plt import cartopy.io.shapereader as shpreader import c
As the title says, I'm using mplcairo as the Matploblit backend. However, the saved files are too large compared to those using the default Matplotlib backend.
This may be a very stupid question, but when plotting a Pandas DataFrame using .plot() it is very quick and produces a graph with an appropriate index. As soon