Goal: Given a seaborn catplot (kind="bar") with multiple rows, grouped bars, and a mapped stripplot, how do I add statistical annotations (p-values). The follow
I have been unable to figure out how to set the colors between distplot and barplot to be the same. Despite setting the color argument in both
I've been trying de plot 4D figures of aerosols emissions in the atmosphere with X = Longitude, Y = latitude, Z = Injection Heigh of aerosols and cbar = Emissio
I can't find a solution to avoid this crash. I have cleaned up the attached code because it contains the issue and nothing else. Regardless of the size of the i
I have a code which gives me 4 individual live plotting graphs for 4 different sensors. But, I want them in a single frame using subplots. Pasting 2 pieces of c
My Geopandas DataFrame has 3 polygons and 9 points with color_rgba column computed with matplotlib.colors.to_rgba function: import contextily as ctx import geop
I can only set the x axis limit to a certain date, but not with hours, minutes seconds. My code looks like this: plt.figure() plt.plot(data.date,sig,'b-') plt.x
I have a weird question. In essence: why does the way I enter the pyplot import line into iPython influence my plot?! Try this (on Windows 10): Use a high-DPI m
I want to do a simple shap analysis and plot a shap.force_plot. I noticed that it works without any issues locally in a .ipynb file, but fails on Databricks wit
My code: #importing required libraries import numpy as np from matplotlib.patches import Polygon import matplotlib.pyplot as plt #plotting data def func(x):
When displaying summary_plot, the color bar does not show. shap.summary_plot(shap_values, X_train) I have tried changing plot_size. When the plot is higher th
I have a output tensor after convolution of dimensions [1,64,112,112]. Is there any way I can visualize this using matplotlib only, keeping in mind that imshow(
My data: names_col = ['Count','Freq'] dat = [['Matching', 56935],['Mismatching', 100587]] plot_df = pd.DataFrame(data=dat,columns=names_col) I trying plot stac
I am trying to combine a bar chart(with hue) and line plot (with hue). I am able to plot them separately. But together, I get some garbage gra
I can bind a click event to a plot (i. e. to print the coordinates that were clicked) like so: from matplotlib.backend_bases import MouseButton import matplotli
Here is how I plot the decision boundary of my SVC` classifier. X, y = make_classification(n_samples=100, n_features=2, n_redundant=0, n_clusters_per_class=
I have a matrix of N observations and F features. Among the N observations, 5 represent reference samples that I wish to compare with others (with distance or s
I calculate the eigenvalues of large matrices depending on a parameter and would like to plot the eigenvalues in different colors. So I do not have functions wh
I want to solve a system of inequalities A x <= b, namely to visualize the set of solutions of this system. Are there any ways to do this in Python? The solu
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