I am unsure whether this functionality is possible through Plotly or if it is achievable with other plotting packages so I am open to different solutions.
I am trying to plot two violin plots in a single figure where one violin is oriented horizontally while the other is vertical. I would like to specify the point at which they intersect (i.e the primary axis of each). Ideally each would be transparent and interactive.
Somewhat poor illustration of what I need
Thank you for any proposed solutions!
There are multiple Python libraries doing Violin Plots. Plotly is among them, check its manual.
Besides, Seaborn is really good at this:
It is a Python visualization library based on Matplotlib. The code snipped for the above example can be found in Seaborn's gallery.
Related
I am trying to plot 2D bars in a Plotly 3D figure. I understand that Plotly's 3D figures do not yet support bar charts out of the box, but I have come across some examples from other people on the Plotly forums which have shown how this might be achieved.
Please see the post Adding a shape to a 3D plot. This is close to what I am trying to achieve, but I am not trying to plot a histogram.
It appears plotting traces as a mesh3d, adding in the missing points and triangulating is the way to go for Plotly's 3D chart, according to other examples I have seen. Below is an example of what I am looking for that I created using Matplotlib.
As you can see, x axis is the date, y axis is the trace name and z axis is the value. I would like to see if I can achieve something similar using Plotly's 3D charts, which are so much better of course because of the client side interactivity.
Is there a working example for what I'm trying to achieve? I am simply looking to plot simple (date, value) per trace as 2D bars in the 3D figure.
There isn't any current way to have a bar chart in 3D with Plotly (at least that I am aware of).
Documentation: Plotly Python Open Source Graphing Library 3D Charts
As shown in the documentation, there aren’t any options for a bar chart. There are, however, alternatives like a bubble chart.
I'm new to plotly/plotly express and i'm having a really hard time finding any working example other than the documentation examples for the library (which are really basic and standard).
I have, let's say a scatter plot, in plotly express:
fig = px.scatter(any_random_data)
And i want to add to that plot an image in a fixed (x,y) position, but i don't know (and can't find!) if there is any kind of method for that.
I've seen there is an add_trace() method to add traces to the plot (i guess), is there any similar function for adding images? (Like add_image() or something)
I'm trying to plot some data as split violins, for which I adapted this answer, to get a first pass. The issue with this is that the parameter controlling the violin sizes is a 'width' which means that distributions that are narrow will look materially smaller than distributions that are wide (they'll have less visual weight). I do not want to use Seaborn (I'm actually not using categorical data, for one thing), but it has a handy feature that makes the plotted area of violins equal. Does anyone have any ideas about how I could customize matplotlib's violinplot to do this?
I want to plot boxplots on top of the scattered points like this.
I know I have to bin the data into intervals first but I couldn't find the function that does all of this. Sample x and y data are saved here as .npy.
I would look into using matplotlib. Boxes can be drawn as such:
https://matplotlib.org/gallery/pyplots/boxplot_demo_pyplot.html?highlight=boxplot
and scatter plots can also be drawn as such: https://matplotlib.org/gallery/lines_bars_and_markers/scatter_demo2.html?highlight=scatter
There is a search functionality on their site, along with plenty of documentation on how to utilize their library.
As for your specific question, you can specify zorder when drawing many of the things in matplotlib, and you could use that to define your boxplots to be on top. I believe if no zorder is defined that it draws items in the order they are encountered in your program (so you could draw scatter plots and then box plots and they should appear correctly as in your diagram above!
I'm preparing a set of reports using open source ReportLab. The reports contain a number of charts. Everything works well so far.
I've been asked to take a (working) bar chart that shows two series of data and overlay a fitted curve for each series.
I can see how I could overlay a segmented line on the bar graph by creating both a line chart and bar chart in the same ReportLab drawing. I can't find any reference for fitted curves in ReportLab, however.
Does anyone have any insight into plotting a fitted curve to a series of data in ReportLab or, failing that, a suggestion about how to accomplish this task (I'm thinking that chart would need to be produced in matplotlib instead)?
I would recommend using MatPlotLib. This is exactly the sort of thing it's designed to handle and it will be much easier than trying to piece together something in ReportLab alone, especially since you'll have to do all the calculation of the line on your own and figure out the details of how to draw it in just the right place. MatPlotLib integrates easily with ReportLab; I've used the combination several times with great results.