Account for no files in table, Fig 3401->3308

docs/source/outputs.rst

@@ -59,12 +59,12 @@ In Stage 3:
 
       Fig 3106: 2D drift fit (currently only produced for WFC3)
 
-   .. figure:: ../media/S3_out/fig3107_Curvature.png
+   .. figure:: ../media/S3_out/fig3107_file0_Curvature.png
       :alt: Stage 3 trace curvature
 
       Fig 3107: Measured, smoothed, and integer-rounded position of trace
 
-   - If ``isplots_S3`` = 3: ``Eureka!`` will plot the results of the background and optimal spectral extraction steps for each exposure in the observation.
+   - If ``isplots_S3`` = 3: ``Eureka!`` will plot the results of the background and optimal spectral extraction steps for each exposure in the observation as well as the cleaned median frame.
 
    .. figure:: ../media/S3_out/fig3301_file0_int001_ImageAndBackground.png
       :alt: Stage 3 background subtracted flux plot
@@ -86,12 +86,10 @@ In Stage 3:
 
       Fig 3304: Residual Background Plot
 
-   - If ``isplots_S3`` = 4: ``Eureka!`` will plot the cleaned median frame.
+   .. figure:: ../media/S3_out/fig3308_file0_MedianFrame.png
+      :alt: Stage 3 clean median frame plot
 
-     .. figure:: ../media/S3_out/fig3401_file0_MedianFrame.png
-        :alt: Stage 3 clean median frame plot
-
-        Fig 3401: Clean Median Frame Plot
+      Fig 3308: Clean Median Frame Plot
 
    - If ``isplots_S3`` = 5: ``Eureka!`` will plot the Subdata plots from the optimal spectral extraction step.
 

src/eureka/S3_data_reduction/plots_s3.py

@@ -599,7 +599,7 @@ def curvature(meta, column_coms, smooth_coms, int_coms, m):
 
 
 def median_frame(data, meta, m):
-    '''Plot the cleaned time-median frame. (Fig 3401)
+    '''Plot the cleaned time-median frame. (Fig 3308)
 
     Parameters
     ----------
@@ -620,10 +620,10 @@ def median_frame(data, meta, m):
     xmin, xmax = data.flux.x.min().values, data.flux.x.max().values
     ymin, ymax = data.flux.y.min().values, data.flux.y.max().values
     vmin = data.medflux.min().values
-    vmax = vmin + 2000
+    vmax = np.max([2000, vmin+2000])
     cmap = plt.cm.plasma.copy()
 
-    plt.figure(3401, figsize=(8, 4))
+    plt.figure(3308, figsize=(8, 4))
     plt.clf()
     plt.title("Cleaned Median Frame")
     plt.imshow(data.medflux, origin='lower', aspect='auto',
@@ -632,11 +632,10 @@ def median_frame(data, meta, m):
     plt.colorbar()
     plt.ylabel('Detector Pixel Position')
     plt.xlabel('Detector Pixel Position')
-    plt.colorbar()
     plt.tight_layout()
 
     file_number = str(m).zfill(int(np.floor(np.log10(meta.num_data_files))+1))
-    fname = (f'figs{os.sep}fig3401_file{file_number}_MedianFrame' +
+    fname = (f'figs{os.sep}fig3308_file{file_number}_MedianFrame' +
              plots.figure_filetype)
     plt.savefig(meta.outputdir+fname, dpi=300)
     if not meta.hide_plots:

src/eureka/lib/mastDownload.py

@@ -247,6 +247,7 @@ def filterJWST(proposal_id, observation, visit, calib_level, subgroup):
     sci_table2 = Observations.query_criteria(proposal_id=proposal_id,
                                              obs_id=obsid2)
 
+    table = []
     if len(sci_table) > 0:
         # Get product list
         data_products_by_id = Observations.get_product_list(sci_table)