Doc update

MarcoMuellner · Apr 1, 2020 · e82f96b · e82f96b
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Showing 6 changed files with 361 additions and 6 deletions.
diff --git a/docs/source/examples/downloading_data.ipynb b/docs/source/examples/downloading_data.ipynb
@@ -536,7 +536,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.10"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,

diff --git a/docs/source/examples/fullframe_sc_data.ipynb b/docs/source/examples/fullframe_sc_data.ipynb
diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -54,6 +54,7 @@ of those in jupyter notebooks. However, you can apply the same procedures in the
 
    examples/downloading_data
    examples/plotting_things
+   examples/fullframe_sc_data
 
 Index and search function
 -------------------------

diff --git a/setup.py b/setup.py
@@ -8,7 +8,7 @@
 
 setuptools.setup(
     name="smurfs",
-    version="1.1.8",
+    version="1.1.9",
     author="Marco Müllner",
     author_email="[email protected]",
     description="Smart UseR Frequency analySer, a fast and easy to use frequency analyser.",

diff --git a/smurfs/__version__.py b/smurfs/__version__.py
@@ -1 +1 @@
-__version__ = "1.1.8"
+__version__ = "1.1.9"
diff --git a/smurfs/preprocess/tess.py b/smurfs/preprocess/tess.py
@@ -52,21 +52,29 @@ def pixel_by_pixel(data : eleanor.TargetData, whole_cutout : bool=False):
         xrange = np.unique(np.where(aperture_mask)[0])
         yrange = np.unique(np.where(aperture_mask)[1])
 
-    fig,ax_list = pl.subplots(ncols = len(xrange),nrows=len(yrange),figsize=(8.27,11.69),dpi=100)
+    fig,ax_list = pl.subplots(nrows = len(xrange),ncols=len(yrange),figsize=(8.27,11.69),dpi=100)
     fig : Figure
     ax_list : List[Axes]
     q = data.quality == 0
-    [[ax.axis('off') for ax in ax_list_col] for ax_list_col in ax_list]
+    try:
+        [[ax.axis('off') for ax in ax_list_col] for ax_list_col in ax_list]
+    except TypeError:
+        ax_list = [[i] for i in ax_list]
+        [[ax.axis('off') for ax in ax_list_col] for ax_list_col in ax_list]
     [[ax.tick_params(axis='both',which='both',bottom=False,top=False,left=False,right=False, labelbottom=False,labelleft=False) for ax in ax_list_col] for ax_list_col in ax_list]
     for row,col_list in enumerate(indx_mask):
         for col in col_list:
             flux = data.corrected_flux(flux = data.tpf[:,row,col])
             time = data.time
             y = flux[q]/np.nanmedian(flux[q])
             x = time[q]
-            ax : Axes = ax_list[row-min(xrange)][col-min(yrange)]
+            try:
+                ax : Axes = ax_list[row-min(xrange)][col-min(yrange)]
+            except IndexError:
+                ax : Axes = ax_list[col-min(yrange)][row-min(xrange)]
             c = 'red' if aperture_mask[row][col] and whole_cutout else 'k'
             ax.plot(x,y,'o',c=c,markersize=1)
+            ax.set_ylim((np.median(y)-2*np.std(y)),(np.median(y)+2*np.std(y)))
             ax.axis('on')
     fig.suptitle("Pixel by pixel light curve " + ("(Aperture only)" if not whole_cutout else "(full cutout)"))
     return fig