numpyarray-to-latex 0.1.0

Default Python

import numpy as np
from numpyarray_to_latex.jupyter import to_jup
from numpyarray_to_latex import to_ltx

tex = to_ltx(np.random.randn(2,2))
print(tex)

\left(
\begin{array}
  2.0156 & -0.3230\\
  0.0477 &  0.0184
\end{array}
\right)

print(to_ltx(np.random.randn(2,2),
       latexarraytype='array',
       is_row_vector=False,
       mark_color='yellow',
       mark_elements=[(1,1)],
       brackets='(]',
       separate_columns=[1,2],
       separate_rows=[1,2],))

\left(
\begin{array}{c|c}
  0.3498 &  0.4393\\
  \hline
 -0.8521 & \colorbox{yellow}{$-0.6412$}
\end{array}
\right]

In Jupyter Notebooks

import numpy as np
from numpyarray_to_latex.jupyter import to_jup

to_jup(np.random.randn(10,10),
       mark_elements=[(1,1),(2,3),(7,0)],
       separate_columns=[1,2], # columns & rows that don't exist will be ignored
       separate_rows=[1,2],
      )

to_jup(np.random.randn(2),
       mark_elements=[1,],
       separate_columns=[1,2],
       separate_rows=[1,2],
      )

to_jup(np.random.randn(2),
       is_row_vector=False,
       mark_elements=[1,],
       separate_columns=[1,2],
       separate_rows=[1,2,3,4], # columns that don't exist will be ignored
       mark_color='yellow',
       brackets='(]',
      )

to_jup(np.random.randn(2,2),
       latexarraytype='Vmatrix',
       is_row_vector=False,
       separate_rows=[1],
      )

to_jup(np.random.randn(2,2)+1j*np.random.randn(2,2),
       mark_elements=[(0,1)],
      )

to_jup(np.random.randn(2,2)+1j*np.random.randn(2,2),
       mark_elements=[(0,1)],
       fmt='{:4.2e}',
      )