Return Numpy and Pandas arrays as formatted LaTeX arrays.
Project description
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.
Play with it on mybinder.org!
Install using pip install user array_to_latex from your command prompt, not the Python prompt.
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 = 'array')
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 = 'array')
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 = 'array', 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).
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