neutronpy.data.Data.plot¶
-
Data.
plot
(x=None, y=None, z=None, w=None, show_err=True, to_bin=None, plot_options=None, fit_options=None, smooth_options=None, output_file='', show_plot=True, **kwargs)[source]¶ Plots the data in the class. x and y must at least be specified, and z and/or w being specified will produce higher dimensional plots (contour and volume, respectively).
Parameters: - x : str, optional
data_column key defining the x-axis. Default:
plot_default_x
.- y : str, optional
data_column key defining the y-axis. Default:
plot_default_y
.- z : str, optional
data_column key defining the z-axis. Default: None
- w : str, optional
data_column key defining the w-axis. Default: None
- bounds : dict, optional
If set, data will be rebinned to the specified parameters, in the format [min, max, num points] for each data_column key. See documentation for
Data.bin
. Default: None- show_err : bool, optional
Plot error bars. Only applies to xy scatter plots. Default: True
- show_plot : bool, optional
Execute plt.show() to show the plot. Incompatible with output_file param. Default: True
- output_file : str, optional
If set, the plot will be saved to the location given, in the format specified, provided that the format is supported. Default: None
- plot_options : dict, optional
Plot options to be passed to the the matplotlib plotting routine. Default: None
- fit_options : dict, optional
Fitting options to be passed to the Fitter routine. Default: None
- smooth_otions : dict, optional
Smoothing options for Gaussian smoothing from
scipy.ndimage.filters.gaussian_filter
. Default: None- kwargs : optional
Additional plotting keyword arguments passed to the plotting function.