I would like to title a chart in seaborn as – countplot of adult_male by alive I found an old Jupyter Notebook document where someone used $ to wrap around the word to italicize. However, this does not work if there is an underscore. See the code below – How do I fix the title? Answer This works in a
Tag: seaborn
Ordering a stacked histplot based on total counts
I have a dataframe which results from: Then, df_grouped is something like: A B count A_1 B_1 10 A_1 B_2 51 A_1 B_3 25 A_1 B_4 12 A_1 B_5 2 A_2 B_1 19 A_2 B_3 5 A_3 B_5 18 A_3 B_4 33 A_3 B_5 44 A_4 B_1 29 A_5 B_2 32 I have plotted a seaborn.histplot using the following code:
adding legend to lineplot according to maplotlib’s axvspan
OK, I have this line plot of data trend over this period. Figure: But I want to add legend corresponding to each period (coloured) covereds, such that: 2021-03 to 2021-06 the green area bears the legend spring, 2021-06 to 2021-09 blue area is legend summer, and 2021-09 to 2021-12 (magenta) legend winter. Answer You can specify a label in the
Adding legend to heatmap in Python / Matplotlib with circles that compare total users, and colors that indicate ratio of abandonment in single graph
I found in SO an explanation to add a legend to this type of graph. However, it does not translate well with my data. I got my graph with circles and shades of colors to work. I do have the legend indicating what the shades of color mean in terms of ratio of users abandoning a chatbot at a given
How to set axis label format to scientific format in seaborn relplot with facets when axes are not shared
I am creating a facet plot with the seaborn library with: I would like ALL subplots to have scientific notation. Using Seaborn version 0.11.2 Answer Since the axes are not shared, the format can be set by iterating through each axes. This answer shows how to set the tick label format when x and y are shared. Tested in python
How to organise multiple stock data in pandas dataframe for plotting
I have over a hundred stocks (actually crypto but that does not matter) I wish to plot, all on the same line plot. I end up with a dataframe that looks like this: I don’t know how to make a line plot from this dataframe, I don’t even know if it is possible. Is there a way? Or is there
How can I find the mode (a number) of a kde histogram in python
I want to determine the X value that has the highest pick in the histogram. The code to print the histogram: Histogram and value wanted (in fact, I would like all 4): Answer You will need to retrieve the underlying x and y data for your lines using matplotlib methods. If you are using displot, as in your excerpt, then
ValueError: Could not interpret input ‘0’ with Seaborn?
I’m using the Kepler exoplanet dataset. After loading it, and running a simple transpose() on it, in order to get the rows as columns, I try a seaborn boxplot, as follows: This returns: I also attempted this: and got a KeyError: ‘0’ instead. What am I doing wrong? As far as I can tell, I’m doing the exact same thing
python seaborn plotting using index when index has some missing values
I have a dataframe as below. Index is blank for some rows. I want to plot it and my code is as below i am struggling with marker It is appearing only for few points – how could i show all the points? How could I rotate x axis labels. I tried the last line that i have commented. lst
How do I overlay multiple sns distplots or change the colour based on a secondary variable using a pandas df
I have a pandas dataframe with a ‘frequency_mhz’ variable and a ‘type’ variable. I want to create a dist plot using seaborne that overlays all of the frequencys but changes the colour based on the ‘type’. Is there a way I can overlay the 3 into one plot? or a way ive missed to change the colour of the bars