Tips and tricks¶

In [1]:

import matplotlib.pyplot as plt

from example_models import get_linear_chain_2v
from modelbase2 import Simulator, plot
from modelbase2.types import unwrap

import matplotlib.pyplot as plt from example_models import get_linear_chain_2v from modelbase2 import Simulator, plot from modelbase2.types import unwrap

Renaming plots arguments¶

The easiest way to rename plot arguments, e.g. for LaTeX display, is to work on the pandas.DataFrame directly.
This conveniently offers a rename method, to which you can supply a dictionary of desired names.

In [2]:

concs = unwrap(Simulator(get_linear_chain_2v()).simulate(5).get_result()).variables

fig, ax = plot.lines(
    concs.rename(
        columns={
            "x": r"$x_{1}$",
            "y": r"$x_{2}$",
        }
    )
)
ax.set(xlabel="time / a.u.", ylabel="concentration / a.u.")
plt.show()

concs = unwrap(Simulator(get_linear_chain_2v()).simulate(5).get_result()).variables fig, ax = plot.lines( concs.rename( columns={ "x": r"$x_{1}$", "y": r"$x_{2}$", } ) ) ax.set(xlabel="time / a.u.", ylabel="concentration / a.u.") plt.show()