Is there a way to plot a plotly histogram such that each bin contains further details of individual data values?
An example is the google chart histogram:
https://developers.google.com/chart/interactive/docs/gallery/histogram
Related
I am aiming to combine two types of charts - a horizontal bar chart using a categorical axis and some form of line, scatter, violin, or similar chart that displays a trace paired with each category on the same axes but "dithers" up and down around some bounds.
Below is sort of what I'm trying to create. However, the shape of the violin chart is generated automatically behind the scenes from scattered points. In my use case, I already have what the distributions are and I'm trying to plot them over top of related data.
I can't find a utility in Plotly that allows me to specify a categorical axis, but then offset points, lines, etc from that category-derived position on the axis.
I used plotly to create a scatter plot from a csv.
It is possible to select a point or multiple points in this graph and save/extract information related to this point contained in the csv ?
I have multiple categorical data (tool_id) in my data set and each has total count tested per day. I would like to make a stacked barplot where total count per tool_id that are stacked in a day for the whole month.
What python libraries can be used to easily plot a stacked bar chart and how to code it? I have tried seaborn but looks like it does not have stacked bar chart capability, correct me if I'm wrong.
I can't seem to find any information on how to display percentage values on the wedges of the pie chart in the context of Reportlab library.
Setting the labels to percentages doesn't work for 2 reasons:
1. Labels need to be strings
2. I still need the proper labels for the legend
After this question Annotate data points while plotting from Pandas DataFrame where the points are annotated while plotting from pandas data frame. I want to search the annotate data points and show only the ones specified in the search and then update the plot with the result of the search. How do i do this ?