Assuming I have a toy model df which lists the model of the car and customer rating of one car showroom. Using plotly express, I created pie charts of percentage of cars by model and by Cust_rating, respectively as two separate graphs: Now, I want to create subplots, and all the ways of doing it using the documentation are throwing

# Tag: matplotlib

## Dynamic subplot using Figures in Matplotlib

I want to create a subplot using matplotlib with pysimplegui where each time i select some signals-checkbox(list of values) i should get a plot corresponding to it which will dynamically increase or decrease in size based on my selection so when i select a checkbox the respective plot will be plotted and eqaully spaced and when i deselect a plot

## How do I create a seaborn lineplot with multiple lines showing the distribution of values per category?

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

## How to remove boundaries in matplotlib rectangles?

The following snippet draws non-overlapping rectangles and works as expected: But when I wish to make the rectangles transparent, they tend to have a border around them, as shown below: Initially, I thought maybe that was due to some overlaps. So, I reduced the size of the rectangles, but I still got it. For example, if I use I get

## Drawing 2D and 3D contour in the same plot in python

Is it possible to draw 2D and 3D contour plot like this in python. Sorry I couldn’t provide much detail on the plot in terms of mathematical equations and all. Answer Use plot_surface along with contour to project the contour. It is not limited to the Z plane; you can do this to the X and Y planes as well.

## How to create Predicted vs. Actual plot using abline_plot and statsmodels

I am trying to recreate this plot from this website in Python instead of R: Background I have a dataframe called boston (the popular educational boston housing dataset). I created a multiple linear regression model with some variables with statsmodels api below. Everything works. I create a dataframe of actual values from the boston dataset and predicted values from above

## How to visualize Classification using pandas and matplotlib?

I’m trying to classify a dataset using python with pandas. The iris flower dataset consists of 50 samples from each of three species of Iris and contains four features.The goal is to distiguish between the species of irises based on these features. Question: Generate a scatter plot with sepal_length feature in x-axis and petal_width feature in y-axis, which shows the

## Colorbar and its range shared between two plots

I adapted this code (https://stackoverflow.com/a/73099652/2369957) that demonstrates how to share a colorbar and its range for two plots, but it doesn’t seem to work when the range of the two plots are different – in the case of the posted code, the plots have the same range (half-open interval [0.0, 1.0)). I generated two plots with different ranges and the

## How to find the global minima from a matplotlib graph?

I have two arrays x and y. Here I’ve plotted them using Matplotlib and found the global minima using this simple logic. Here is the output that I’m getting: After that I’ve smoothen the graph BSpline Now my position of the global minima has changed and that simple logic will not work here. I want to know how I can

## Plotting values above a threshold in Python

Having issues with plotting values above a set threshold using a pandas dataframe. I have a dataframe that has 21453 rows and 20 columns, and one of the columns is just 1 and 0 values. I’m trying to plot this column using the following code: But get the following errors: Any suggestions on how to fix this? Answer The error