This notebook can be useful to quickly make a latex representation of linear systems of 2 variables.
In [ ]:
pre_str = r"""
$
\left\{
\begin{align}
"""
post_str = r"""\end{align}
\right.
$
"""
def complete_matrix_to_latex(Ab):
#6 x_1 + 7 x_2 & = 11
sys_str = ""
for eq in Ab:
eq_str = ""
for coef_index, coef in enumerate(eq[:-1]):
if coef != 0:
if len(eq_str) > 0:
eq_str += "+ "
if coef == 1:
eq_str += "x_{" + str(coef_index + 1) + "} "
elif coef == -1:
eq_str += "-x_{" + str(coef_index + 1) + "} "
else:
eq_str += str(coef) + " x_{" + str(coef_index + 1) + "} "
eq_str = eq_str.replace("+ -", "- ")
eq_str += "& = {} \\\\\n".format(eq[-1])
sys_str += eq_str
return pre_str + sys_str + post_str
In [ ]:
Ab = np.array([[0, -1, 1],
[2, 0, 1],
[1, -1, 2]])
print(complete_matrix_to_latex(Ab))