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: seaborn
How to combine multiple data frames into a single violinplot and add a swarmplot
I have two data frames, with different shapes. I’d like to plot the two data frame values of the violin plots next to each other instead of overlapping. Here is my output image. But I’d like to get each blue and red violin plot next to each other instead of overlapping. I’d further like to show the datapoints via a
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
Different binwidth for each plot in FacetGrid Seaborn
I would like to give each histplot in FacetGrid from seaborn a different binwidth. To give each plot a binwidth of 3 is possible like this: Output: But let’s say you want to give each plot a different binwidth, for example 1,2,3 and 4 in a list, the following error appears: Error: So I was wondering if anyone knows how
how to successfully install seaborn without error
when i am running import seaborn as sns it throws me an error: How to resolve it? Answer [Updated after comment by @mwaskom] You should fix yout SciPy installation: The command either installs the package if not existing, or re-installs and upgrade if it is not. The dependencies are not re-installed using the –no-deps flag.
How can I add hatching for specific bars in sns.catplot?
I use seaborn to make a categorical barplot of a df containing Pearson correlation R-values for 17 vegetation classes, 3 carbon species and 4 regions. I try to recreate a smaller sample df here: This is my plotting routine: (The plot looks as follows: seaborn categorical barplot) The plot is exactly how I would like it, except that now I
How to create multiple legends?
line plot I’m trying to add a legend containing the black line. However the black line is a separate lineplot. How Do I include the black line into the existing legend or a separate legend? Answer You can to add a label to the line, via sns.lineplot(…, label=…). Note that when using bbox_to_anchor for the legend, you also need to
Color Bar Chart Based on Label Name
I am new to python so please feel free to explain like I am a 2yr old. I am trying to process a spreadsheet and create multiple bar charts by filtering the content based on strings in the row. I now want to ensure that all the bar charts have a consistent bar color scheme based on the label. e.g.
How to align the x position of the dots in seaborn scatterplot to a nested bar plot
I am trying to plot a scatter plot on top of a bar plot using sns.scatterplot() and df.plot(kind=’bar’); The figure turns out to be fine, but it would be even nicer if I can align each of the scatter points to its corresponding bar with an identical label. I have read the document on Rectangle of matplotlib.pyplot that it has
seaborn relplot x values adjustment
I have two parameters from panda’s dataframe, bmi and heart_disease. I want to show them with relplot, it shows information that other plots lose. I used this simple code: The heart_disease parameter only has two values: 1 or 0. However, the plot gave me a whole range of numbers from 0 to 1. How do I make it only 0