plot_scatter¶
- sherpa.ui.plot_scatter(x, y, name='(x,y)', xlabel='x', ylabel='y', replot=False, overplot=False, clearwindow=True, **kwargs)¶
Create a scatter plot.
- Parameters
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 toplot_scatter
. The default isFalse
.overplot (bool, optional) – If
True
then add the data to an existing plot, otherwise create a new plot. The default isFalse
.clearwindow (bool, optional) – Should the existing plot area be cleared before creating this new plot (e.g. for multi-panel plots)?
See also
get_scatter_plot
Return the data used to plot the last scatter plot.
plot_trace
Create a trace plot of row number versus value.
Examples
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)
Change the axis labels and the plot title:
>>> plot_scatter(nh, kt, xlabel='nH', ylabel='kT', name='Simulations')