Source code for pyleecan.Functions.Plot.plot_A_quiver_2D

# -*- coding: utf-8 -*-

from ..init_fig import init_fig
from .plot_2D import plot_2D


[docs]def plot_A_quiver_2D( data, t=None, t_index=0, is_norm=False, unit="SI", is_show_fig=None, save_path=None, fig=None, ax=None, ): """Plots a 2D vector field Parameters ---------- data : Data a Data object t : float time value at which to slice t_index : int time index at which to slice is_norm : bool boolean indicating if the field must be normalized unit : str unit in which to plot the field is_show_fig : bool True to show figure after plot save_path : str full path including folder, name and extension of the file to save if save_path is not None fig : Matplotlib.figure.Figure existing figure to use if None create a new one ax : Matplotlib.axes.Axes object ax on which to plot the data """ # Set figure if needed if fig is None and ax is None: (fig, ax, _, _) = init_fig(fig=None, shape="rectangle") xlabel = "x [m]" ylabel = "y [m]" # Prepare the extractions if t != None: t_str = "time=" + str(t) else: t_str = "time[" + str(t_index) + "]" title = data.name + " over space at " + t_str # Extract the fields results = data.get_along("xy", t_str, unit=unit, is_norm=is_norm) xy = results["xy"] Ydata = results[data.symbol] # Plot the original graph plot_2D( xy, [Ydata], fig=fig, ax=ax, title=title, xlabel=xlabel, ylabel=ylabel, type="quiver", is_show_fig=is_show_fig, save_path=save_path, )