The module array_to_latex converts a NumPy/SciPy array or Pandas Numerical DataFrame to a LaTeX array or table using Python 3.x style formatting of the result or a format usable for plotting within LaTeX using pgfplots. Note that as of 0.83 it does add the column formatting arguments (for example, {ccc…}) when the user chooses to use array. I’m happy to have someone create a better solution but this at least makes a copied array immediately usable. I prefer bmatrix or similar. `
Play with it on mybinder.org!
A NumPy-focused re-envisioned converter based, in part, on this is numpyarray_to_latex. Also, available pip install. It incorporates more sophisticated “sub” markup capabilities. Check it out!
Recent updates follow, with a more complete list towards the end of this document. If you don’t see the current version in this list it’s likely because I (again) forgot to update it when pushing out a new version. Please see the readme on GitHub.
Install using pip install --user array_to_latex from your command prompt, not the Python prompt. If you want to use to_clp to copy results directly to your clipboard, install the optional extra with pip install --user array_to_latex[clipboard].
Please read the help. It explains all options. To try it, see the online mybinder.org demo. It documents illustrates application to numerical Pandas DataFrames.
import numpy as np
import array_to_latex as a2l
A = np.array([[1.23456, 23.45678],[456.23, 8.239521]])
a2l.to_ltx(A, frmt = '{:6.2f}', arraytype = 'array')will print the LaTeX code to your output.
import numpy as np
import array_to_latex as a2l
A = np.array([[1.23456, 23.45678],[456.23, 8.239521]])
latex_code = a2l.to_ltx(A, frmt = '{:6.2f}', arraytype = 'bmatrix', print_out=False)will put the LaTeX code into variable latex_code.
import numpy as np
import array_to_latex as a2l
A = np.array([[1.23456, 23.45678],[456.23, 8.239521]])
a2l.to_clp(A, frmt = '{:6.2f}', arraytype = 'bmatrix')will put the array onto your clipboard.
If you will be using the same conversion over and over, you can define your own by using a lambda function:
to_tex = lambda A : a2l.to_ltx(A, frmt = '{:6.2f}', arraytype = 'bmatrix', mathform=True)
to_tex(A)so you can now use your function to_tex repeatedly with your specified settings. More detailed information on usage is in the help.
import array_to_latex as a2l
help(a2l.to_ltx)Interesting alternative approaches are np_array_to_latex and tab2latex (convert numpy array to longtable file).
Like this module, buy me a coffee!.
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