Synopsis
Create a scatter plot.
Syntax
plot_scatter(x, y, name='(x,y)', xlabel='x', ylabel='y', replot=False, overplot=False, clearwindow=True, **kwargs)
Examples
Example 1
Plot the X and Y points:
>>> mu, sigma, n = 100, 15, 500 >>> x = mu + sigma * np.random.randn(n) >>> y = mu + sigma * np.random.randn(n) >>> plot_scatter(x, y)
Example 2
Change the axis labels and the plot title:
>>> plot_scatter(nh, kt, xlabel='nH', ylabel='kT', name='Simulations')
PARAMETERS
The parameters for this function are:
| Parameter | Type information | Definition |
|---|---|---|
| x | array | The values to plot on the X axis. |
| y | array | The values to plot on the Y axis. This must match the size of the x array. |
| name | str, optional | The plot title. |
| xlabel | str, optional | The label for the X axis. |
| ylabel | str, optional | The label for the Y axis. |
| replot | bool, optional | Set to True to use the values calculated by the last call to `plot_scatter` . The default is False . |
| overplot | bool, optional | If True then add the data to an existing plot, otherwise create a new plot. The default is False . |
| clearwindow | bool, optional | Should the existing plot area be cleared before creating this new plot (e.g. for multi-panel plots)? |
Bugs
See the bugs pages on the Sherpa website for an up-to-date listing of known bugs.
See Also
- contrib
- get_data_prof, get_data_prof_prefs, get_delchi_prof, get_delchi_prof_prefs, get_fit_prof, get_model_prof, get_model_prof_prefs, get_resid_prof, get_resid_prof_prefs, get_source_prof, get_source_prof_prefs, plot_chart_spectrum, plot_marx_spectrum, prof_data, prof_delchi, prof_fit, prof_fit_delchi, prof_fit_resid, prof_model, prof_resid, prof_source
- data
- get_arf_plot, get_bkg_chisqr_plot, get_bkg_delchi_plot, get_bkg_fit_plot, get_bkg_model_plot, get_bkg_plot, get_bkg_ratio_plot, get_bkg_resid_plot, get_bkg_source_plot
- info
- list_model_ids, show_bkg_model, show_bkg_source
- modeling
- add_model, add_user_pars, clean, create_model_component, delete_bkg_model, delete_model, delete_model_component, get_model, get_model_autoassign_func, get_model_component, get_model_component_image, get_model_component_plot, get_model_plot, get_num_par, get_num_par_frozen, get_num_par_thawed, get_order_plot, get_par, get_pileup_model, get_source, get_source_component_image, get_source_component_plot, get_source_contour, get_source_image, get_source_plot, image_model, image_model_component, image_source, image_source_component, integrate, link, load_table_model, load_template_interpolator, load_template_model, load_user_model, normal_sample, reset, save_model, save_source, set_bkg_model, set_bkg_source, set_full_model, set_model, set_model_autoassign_func, set_pileup_model, set_source, t_sample, uniform_sample
- plotting
- get_cdf_plot, get_energy_flux_hist, get_pdf_plot, get_photon_flux_hist, get_pvalue_plot, get_pvalue_results, get_scatter_plot, get_split_plot, plot, plot_arf, plot_bkg, plot_bkg_chisqr, plot_bkg_delchi, plot_bkg_fit, plot_bkg_fit_delchi, plot_bkg_fit_resid, plot_bkg_model, plot_bkg_ratio, plot_bkg_resid, plot_bkg_source, plot_cdf, plot_chisqr, plot_data, plot_delchi, plot_energy_flux, plot_fit, plot_fit_delchi, plot_fit_resid, plot_model, plot_model_component, plot_order, plot_pdf, plot_photon_flux, plot_pvalue, plot_ratio, plot_resid, plot_source, plot_source_component, plot_trace, set_xlinear, set_xlog, set_ylinear, set_ylog
- psfs
- delete_psf, load_conv, plot_kernel
- saving
- save_delchi, save_resid
- statistics
- get_chisqr_plot, get_delchi_plot
- utilities
- calc_chisqr, calc_energy_flux, calc_model_sum, calc_photon_flux, calc_source_sum, calc_stat, eqwidth
- visualization
- contour_model, contour_ratio, contour_resid