What is the best way to combine an image and some associated metadata to be displayed in tabular form below the image as given in this example? I need to use Python but not sure if Matplotlib will be needed.
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I have several groups of data and I want to have a table to both visualize them and summarize some important features. What I want is something like the following:
The data are known and it is easy to get these features. But how to have a table (or whatever widget, as long as it shows like a table) to include both the small chart like a thumbnail (plotted by matplotlib)?
Is there a way I can use any Python GUI library (e.g., tkinter) to make it? I would appreciate any help! Thank you!
This image is created in Excel :(
We should be able to control the size of the chart so that it can "fit" the font of the text (data).
The borderlines are preferred but not required.
This is something you could use pyside/pyqt for. In pyqt all text labels can also be set as images, so you can just save your images from matplotlib and load them in PYQT. PYQT has an editor that generates your front end code, so I would recommend just downloading it and playing a bit with the editor. But PYQT is only good if you want a live GUI.
If you want to generate a file, just use excel like you are already doing with openpyxl (https://openpyxl.readthedocs.io/en/stable/)? I use it for a lot of my reports. With PIL you can add images from matplotlib.
The scripts I use generate a lot of graphs. I was wondering if there was a way to save them or specified ones into a single file as image or pdf for quicklooks.
Thank you.
If you are using matplotlib, it would be easiest to use the subplots feature. This will make all of your graphs part of a single object, which can be saved as an image like you want. I would redirect you to the matplotlib website for a ton of good example on the subject. https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.subplots.html
Then, do
fig.savefig('mysweetsubplots.png')
and you are done.
I would like to take raster (say a JPG) cut it in subregions and associate each reagion to a row in a pandas dataframe, so that the image can be visualized according to some filters on the data. I see this is pretty standard using bokeh in python, but I do not find tutorial on how to prepare the raster for this. All explanation somehow use premade data such as the counties of texas example in bokeh ...
So, what should I do to my custom image to transform it into something can be used with bokeh to make an interactive map?
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.