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
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