I am generating a multi-page PDF with different graphs in each page using matplotlib. I would like to add another page that contains some information relevant to these graphs. But all text addition methods I've seen in matplotlib so far, seem to require a figure to be present already. Is it possible to add a text only page in matplotlib?
Related
I have 2 images files and .csv file that I'll be creating a plot. However, I couldn't figure out how to save two images and a plot in the same page.
from matplotlib.backends.backend_pdf import PdfPages is what I have been using and I don't have much experience in python. The results are came out as multiple pages instead of one page.
I would like to know if there is a way to export multiple plotly plots, tabs and images into a single HTML file.
In detail the problem is this. I want to create a standalone .exe file with python able to plot several graphs and images, given some input files containing the data; writing code with PySimpleGUI for the GUI.
But once the several interactive graphs, tabs and images are plotted in a window, I would like to add in the window two buttons to export these data respectively in a excel file (so with no interactivity) and in a HTML file (to keep interactivity).
The first point is no trouble for me: I use xlsxwriter to export images and graphs as images. The problem is the second point: I would like to export all these data keeping interactions in graphs in a single HTML with a certain design I choose. Remember the fact that I want to build a standalone .exe file, because this program will run in a PC with Python not installed.
My question is this: is there some python library or html writer in python I can use to do this?
P.S.: plotly graphs are not subplots of a single plots but each one is a single plot, each one will have its own zoom etc. commands.
I am running a Python pipeline that generates some data files. As a last step of the pipeline, I want to generate a HTML file containing nicely styled graphs representing that data with plotly and a navbar at the top (I will probably have 2 tabs, each one containing different set of charts). This sounds like hard to do with plotly only. How can I achieve this? Should I make an html file with some styling, then just embed the plotly graphs in it? Or should I try to do it solely using plotly?
I did some something similar writing the html (and nav elements) from python and then embedding the charts using the to_html method:
fig.to_html(full_html=False, include_plotlyjs=True)
Using maptplotlib I have created 9 graphs which are combined in to a single pdf using the command savefig. However I need to be able to show the statistical analysis below each plot with .describe(). What would be the best way to do this?
Pandas has the possibility to include a table with a plot. See the table kwarg to pandas.DataFrame.plot. See the docs: http://pandas.pydata.org/pandas-docs/dev/visualization.html#visualization-table
There are multiple possibilities:
http://pbpython.com/pdf-reports.html
http://gael-varoquaux.info/computers/pyreport/
https://github.com/JanSchulz/knitpy
For the last, have a look at https://github.com/JanSchulz/knitpy/tree/master/examples, the docx, pdf and html versions were generated from the .pymd source. The example includes both pandas.DataFrames and matplotlib figures.
Disclaimer: I'm the author of knitpy
I am using matplotlib and a modified version of this example to generate plots in pdf files. So I am plotting each plot on a single page and the results are just fine.
Now I would like to list all the data used in the plots in a rather long table. This table should be placed below the last plot (so not each plot should get its own table).
Is there a way to plot LaTeX like tables in a pdf file using matplotlib?
In principle, you can place almost any TeX stuff onto a plot using something like plt.text(1,2,r'$a^2+b^2=42$'). For aligning equations things like eqnarray work as well, like this. Just don't forget to use raw strings, for otherwise python can misinterpret TeX commands which start with backslashes.
Unless using a plot to write text, I think it is save to say, that it is not possible to only write a table to a matplotlib pdf output file.
Currently I am using tex to write the table and pyPdf to merge the two results. I think this is the cleanest solution to the problem.