Source code for pyarts3.plots.AziGrid

""" Plotting routine for AziGrid """

import numpy
import matplotlib
import pyarts3 as pyarts
import numpy as np
from .common import default_fig_ax, select_flat_ax

__all__ = [
    'plot',
]


[docs] def plot(data: pyarts.arts.AziGrid, *, fig: matplotlib.figure.Figure | None = None, ax: matplotlib.axes.Axes | list[matplotlib.axes.Axes] | numpy.ndarray[matplotlib.axes.Axes] | None = None, polar: bool = False, **kwargs) -> tuple[matplotlib.figure.Figure, matplotlib.axes.Axes | list[matplotlib.axes.Axes] | numpy.ndarray[matplotlib.axes.Axes]]: """Plot an AziGrid showing azimuth angles. .. rubric:: Example .. plot:: :include-source: import pyarts3 as pyarts import numpy as np # Create azimuth angles (compass directions) azimuth = pyarts.arts.AziGrid(np.linspace(0, 360, 13)[:-1]) fig, ax = pyarts.plots.AziGrid.plot(azimuth, polar=True) ax.set_xlabel("Index") ax.set_ylabel("Azimuth Angle [°]") ax.set_title("Azimuth Grid") ax.set_ylim(0, 360) ax.grid(True, alpha=0.3) ax.set_ylim(0, 1.2) ax.set_theta_zero_location("N") # 0° at North (top) ax.set_theta_direction(-1) # Clockwise (East = 90° clockwise from North) Parameters ---------- data : ~pyarts3.arts.AziGrid A sorted grid of azimuth angles [0, 360) fig : ~matplotlib.figure.Figure, optional The matplotlib figure to draw on. Defaults to None for new figure. ax : ~matplotlib.axes.Axes | list[~matplotlib.axes.Axes] | ~numpy.ndarray[~matplotlib.axes.Axes] | None, optional The matplotlib axes to draw on. Defaults to None for new axes. polar : bool, optional If True, use polar plot. Defaults to False. **kwargs : keyword arguments Additional keyword arguments to pass to the plotting functions. Returns ------- fig : As input if input. Otherwise the created Figure. ax : As input if input. Otherwise the created Axes. """ fig, ax = default_fig_ax(fig, ax, ax_kwargs={"subplot_kw": {'polar': polar}}, fig_kwargs={ 'figsize': (10, 8) if polar else (10, 6)}) if polar: select_flat_ax(ax, 0).plot(np.deg2rad(data), np.ones_like(data), **kwargs) else: select_flat_ax(ax, 0).plot(np.arange(len(data)), data, **kwargs) return fig, ax