updating version number after last commit and some minor corrections

rpoleski · Jan 11, 2022 · 4bff2ed · 4bff2ed
1 parent 6df8657
commit 4bff2ed
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Showing 3 changed files with 15 additions and 9 deletions.
diff --git a/README.md b/README.md
@@ -4,7 +4,7 @@
 
 [**Detailed documentation: https://rpoleski.github.io/MulensModel/**](https://rpoleski.github.io/MulensModel/)
 
-[Latest release: 2.2.0](https://github.com/rpoleski/MulensModel/releases/latest) and we're working on further developing the code.
+[Latest release: 2.3.0](https://github.com/rpoleski/MulensModel/releases/latest) and we're working on further developing the code.
 
 MulensModel can generate a microlensing light curve for a given set of microlensing parameters, fit that light curve to some data, and return a chi2 value. That chi2 can then be input into an arbitrary likelihood function to find the best-fit parameters.
 

diff --git a/source/MulensModel/event.py b/source/MulensModel/event.py
@@ -143,7 +143,8 @@ def plot(self, t_range=None, residuals=True, show_errorbars=None,
                 Whether or not to show a legend for the datasets.
 
             trajectory: *bool*
-                Whether or not to plot the source trajectory.
+                Whether or not to plot the source trajectory. Defaults to
+                *False* for single lens events and *True* for binary lenses.
 
             title: *str*
                 Title for the plot. Same title is used for trajectory plot, if
@@ -154,27 +155,30 @@ def plot(self, t_range=None, residuals=True, show_errorbars=None,
 
             data_ref:  *int* or *MulensData*
                 see :py:func:`~plot_data()`.
-
         """
-
         if trajectory is None:
             if self.model.n_lenses == 1:
                 trajectory = False
             else:
                 trajectory = True
 
         self._plot_lc_default(
-            t_range=t_range, residuals=residuals, show_errorbars=show_errorbars,
+            t_range=t_range, residuals=residuals,
+            show_errorbars=show_errorbars,
             show_bad=show_bad, legend=legend, title=title,
             subtract_2450000=subtract_2450000,
             subtract_2460000=subtract_2460000, data_ref=data_ref)
 
         if trajectory:
             self._plot_trajectory_default(t_range=t_range, title=title)
 
-    def _plot_lc_default(self, t_range=None, residuals=True, show_errorbars=None,
+    def _plot_lc_default(
+             self, t_range=None, residuals=True, show_errorbars=None,
              show_bad=None, legend=True, title=None,
              subtract_2450000=False, subtract_2460000=False, data_ref=None):
+        """
+        Plot model and data
+        """
 
         plt.figure()
 
@@ -218,8 +222,10 @@ def _plot_lc_default(self, t_range=None, residuals=True, show_errorbars=None,
 
         plt.tight_layout()
 
-
     def _plot_trajectory_default(self, t_range=None, title=None):
+        """
+        plot trajectory after plotting model and data
+        """
         plt.figure()
         plt.gca().set_aspect('equal')
         if title is not None:
@@ -230,7 +236,7 @@ def _plot_trajectory_default(self, t_range=None, title=None):
 
         if t_range is None:
             t_range = (self.model.parameters.t_0 +
-                       self.model.parameters.t_E * np.array([-1. ,1.]) )
+                       self.model.parameters.t_E * np.array([-1., 1.]))
 
         lims = (np.array(t_range) -
                 self.model.parameters.t_0) / self.model.parameters.t_E

diff --git a/source/MulensModel/version.py b/source/MulensModel/version.py
@@ -1 +1 @@
-__version__ = "2.2.00"
+__version__ = "2.3.0"