import matplotlib.pyplot as plt
import numpy as np
from typing import Union
from autoarray.plot.wrap.one_d.abstract import AbstractMatWrap1D
from autoarray.structures.arrays.uniform_1d import Array1D
from autoarray import exc
[docs]class YXPlot(AbstractMatWrap1D):
def __init__(self, plot_axis_type=None, label=None, **kwargs):
"""
Plots 1D data structures as a y vs x figure.
This object wraps the following Matplotlib methods:
- plt.plot: https://matplotlib.org/3.3.3/api/_as_gen/matplotlib.pyplot.plot.html
"""
super().__init__(**kwargs)
self.plot_axis_type = plot_axis_type
self.label = label
[docs] def plot_y_vs_x(
self,
y: Union[np.ndarray, Array1D],
x: Union[np.ndarray, Array1D],
label: str = None,
plot_axis_type=None,
y_errors=None,
x_errors=None,
y_extra=None,
y_extra_2=None,
ls_errorbar="",
):
"""
Plots 1D y-data against 1D x-data using the matplotlib method `plt.plot`, `plt.semilogy`, `plt.loglog`,
or `plt.scatter`.
Parameters
----------
y
The ydata that is plotted.
x
The xdata that is plotted.
plot_axis_type
The method used to make the plot that defines the scale of the axes {"linear", "semilogy", "loglog",
"scatter"}.
label
Optionally include a label on the plot for a `Legend` to display.
"""
if self.label is not None:
label = self.label
if plot_axis_type == "linear" or plot_axis_type == "symlog":
plt.plot(x, y, label=label, **self.config_dict)
elif plot_axis_type == "semilogy":
plt.semilogy(x, y, label=label, **self.config_dict)
elif plot_axis_type == "loglog":
plt.loglog(x, y, label=label, **self.config_dict)
elif plot_axis_type == "scatter":
plt.scatter(x, y, label=label, **self.config_dict)
elif plot_axis_type == "errorbar" or plot_axis_type == "errorbar_logy":
plt.errorbar(
x,
y,
yerr=y_errors,
xerr=x_errors,
# marker="o",
fmt="o",
# ls=ls_errorbar,
**self.config_dict
)
if plot_axis_type == "errorbar_logy":
plt.yscale("log")
else:
raise exc.PlottingException(
"The plot_axis_type supplied to the plotter is not a valid string (must be linear "
"{semilogy, loglog})"
)
if y_extra is not None:
if isinstance(y_extra, list):
for y_extra_ in y_extra:
plt.plot(x, y_extra_)
else:
plt.plot(x, y_extra, c="r")
if y_extra_2 is not None:
plt.plot(x, y_extra_2, c="r")