I have a dataframe of cars from 5 different brands with all models and their technical data. Simplified it looks like that: Brand Model Power in HP VW Golf 7 150 Audi A4 190 Audi A5 190 VW Passat 240 VW Polo 80 Ford A4 190 KIA A4 190 Audi Q3 150 Audi S6 400 VW Golf 6 140 VW
Tag: visualization
Add custom labels to seaborn color palette
The result that I get is: But the labels are “under, bad, over”. Not sure from where it is pulling it, is there a way to rename or remove those variables? I tried the following, but did not work I want the labels to be low, med and high Answer Using appropriate grid of subplots, we can create the expected
Why can’t I see graphs created with the plotly library on GitHub?
When I see the visualization displayed with the help of plotly, I would like to save it in a *.png file, e.g. with the help of a screenshot, and then in the readme file put a link to this file so that the image is displayed in the description of the repository. This is an example of such a reference
How to skip some x-values in matplotlib plots to reduce the density?
I’m trying to plot minimum and maximum daily temperature values for last 20 years. Since there are too many days in between, my plot graph looks too complicated. How can I make change the frequency of days to reduce the density of my graph? In other words, I want to set that it gets the weather of one day and
Pyplot: Plot a 3D figure in a 2D frame?
In my current project, I want to plot a 3D shape with pyplot. This is relatively straightforward: The complication comes from the fact that I would like the figure to display in a straight 2D figure similar to this example: That is to say, remove the 3D axes and ticks, the gridlines, and wrap everything in a flat 2D border.
Choosing how many x axis labels display on an altair chart in python
I have an altair chart where I am using mark_rectangle. I want to choose how many x axis labels are displayed to have the marks form squares in the visualization. Or perhaps I want to choose the range of the x axis labels. Right now there are far too many labels being displayed. Below I have an example of what
Degeneracy given a graph
An exercise requires to determine the degenerative level of a graph. To do that, I have found useful the following code (source: https://www.geeksforgeeks.org/find-k-cores-graph/) which represents an undirected graph using adjacency list representation An example of data that I am using for building a graph is I have tried to calculate the adjacency list as follows: but this format does not
How to put text at a fixed position when updating an animation
Here’s the whole code: (main problem is explained below) I used matplotlib.animation to animate the graph. Everything went good. Now I wanted to put the seed (the number) in top right corner of the graph, so I did this: plt.text((i+5)*0.8,o*0.88, (“Seed: ” +str(N))) This add the text at every frame iteration (as I wanted) but the previous text remains in
How to get rid of scientific notation on bar labels in matplotlib?
How could I format the bar labels to remove the scientific notation? Answer As already suggested by BigBen in the comment, you can pass fmt parameter to matplotlib.axes.Axes.bar_label; you can use %d for integers:
Reference local .csv file in altair chart
I’m trying to use altair to visualize data, but I struggle to use it in the way I would like to use it: by not embedding the data inside the generated .html chart, but by referencing the local .csv file that contains the data. Otherwise, it would result in duplicating the data and therefore doubling the required storage. Here’s what