I have a box plot that I create using the following command: So the different colors represent whether the trial was a habit trial or not (0,1). I want to also plot the individual data points, which I tried to achieve using: The result was the following I want the individual points to display over the corresponding box plots. Is
Tag: seaborn
Seaborn Adjusting Markers
As you can see here, the X axis labels here are quite unreadable. This will happen regardless of how I adjust the figure size. I’m trying to figure out how to adjust the labeling so that it only shows certain points. The X axis are all numerical between -1 to 1, and I think it would be nice and more
how to convert Exponential value into Int in Graph
When I am trying to create graph for above code It’s converting into the Exponential. How can I prevent That? Answer I do not know the size of your data set. But you can try this.
How to create a seaborn graph that shows probability per bin?
I would like to make a graph using seaborn. I have three types that are called 1, 2 and 3. In each type, there are groups P and F. I would like to present the graph in a way that each bin sums up to 100% and shows how many of each type are of group P and group F.
Adding a line to a barplot in Seaborn pads the graph, how do I get rid of the new margins?
I have a seaborn barplot with a line graphed on top of it that looks like this: As you can see, there are thick margins on the plot that appear after adding the line. The plot looks normal if the line is not added: plt.margins() does not work and basically destroys the entire graph. Not sure why. I have not
Multiple Seaborn Heatmaps from Pandas Dataframe
I have a Pandas dataframe that looks like this: Where there are ~60 stores and the ratings range from 0 – 2. I would like to create a 6×5 grid Seaborn of heatmaps, with one heatmap per store. I would like for the x-axis to be the days and for the y-axis to be the times. I tried this: This
Is there a way to display a seaborn plot without using the python console? [closed]
Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. This question was caused by a typo or a problem that can no longer be reproduced. While similar questions may be on-topic here, this one was resolved in a way less likely to help future readers. Closed 1 year ago. Improve this question
Changing font style in seaborn clustermaps
I am using the clustermap method in the seaborn library and I would like to have the axis labels printed in italics. I don’t think that seaborn allows me to specify the font style, so my question is, is there some way to encode italic font style into the label string? I have tried this, [r’$it{‘+i+’}$’ for i in data.columns],
Plot a bar plot by using Seaborn
I am new in data visualization. I am practicing Seaborn and I am trying to plot a barplot with this dataframe. I want the chart has 3 bars on each symbol, however, the output has only 1 bar on each symbol. May I know how to fix it? Part of the DataFrame… The code like this: Output like this: Answer
Using columns of a Numpy array to create a displot
I’m trying to create a displot where I see a histogram of three different variables (each one in a different column of a numpy array). I want each column to display as a different subplot in the facet grid, but I can’t seem to find a way to do this without turning my data into a dataframe. I have been