Merge pull request #66 from Athanaseus/135_updates

135 updates

aimfast/aimfast.py

@@ -1756,8 +1756,7 @@ def _source_flux_plotter(results, all_models, inline=False, units='milli',
  columns = [TableColumn(field=x, title=x.capitalize()) for x in cols]
  dtab = DataTable(source=source, columns=columns,
  width=500, max_width=550,
- height=100, max_height=150,
- sizing_mode='stretch_both')
+ height=100, max_height=150)
  table_title = Div(text="Cross Matching Statistics")
  table_title.align = "center"
  stats_table = column([table_title, dtab])
@@ -1778,8 +1777,7 @@ def _source_flux_plotter(results, all_models, inline=False, units='milli',
  columns1 = [TableColumn(field=x, title=x.capitalize()) for x in cols1]
  dtab1 = DataTable(source=source1, columns=columns1,
  width=500, max_width=550,
- height=150, max_height=200,
- sizing_mode='stretch_both')
+ height=150, max_height=200)
  table_title1 = Div(text=f"Non-matching sources from {model_1_name}")
  table_title1.align = "center"
  stats_table1 = column([table_title1, dtab1])
@@ -1799,14 +1797,12 @@ def _source_flux_plotter(results, all_models, inline=False, units='milli',
  columns2 = [TableColumn(field=x, title=x.capitalize()) for x in cols2]
  dtab2 = DataTable(source=source2, columns=columns2,
  width=500, max_width=550,
- height=150, max_height=200,
- sizing_mode='stretch_both')
+ height=150, max_height=200)
  table_title2 = Div(text=f"Non-matching sources from {model_2_name}")
  table_title2.align = "center"
  stats_table2 = column([table_title2, dtab2])
  # Attaching the hover object with labels
  hover = plot_flux.select(dict(type=HoverTool))
- hover.names = ['data']
  hover.tooltips = OrderedDict([
  ("source", "(@label)"),
  ("(S1,S2)", "(@flux_1, @flux_2)"),
@@ -2105,14 +2101,12 @@ def _source_astrometry_plotter(results, all_models, inline=False, units='',
  columns = [TableColumn(field=x, title=x.capitalize()) for x in cols]
  dtab = DataTable(source=source, columns=columns,
  width=450, max_width=500,
- height=100, max_height=150,
- sizing_mode='stretch_both')
+ height=100, max_height=150)
  table_title = Div(text="Cross Matching Statistics")
  table_title.align = "center"
  stats_table = column([table_title, dtab])
  # Attaching the hover object with labels
  hover = plot_position.select(dict(type=HoverTool))
- hover.names = ['data']
  hover.tooltips = OrderedDict([
  ("source", "(@label)"),
  ("(S1,S2) [mJy]",
@@ -2238,7 +2232,6 @@ def _residual_plotter(res_noise_images, points=None, results=None,
  plot_residual = figure(title=title,
  x_axis_label='Sources',
  y_axis_label='Res1-to-Res2',
- #sizing_mode='stretch_both',
  plot_width=1200, plot_height=800,
  tools=TOOLS)
  plot_residual.y_range = Range1d(start=min(y1) - .01, end=max(y1) + .01)
@@ -2279,14 +2272,12 @@ def _residual_plotter(res_noise_images, points=None, results=None,
  columns = [TableColumn(field=x, title=x.capitalize()) for x in cols]
  dtab = DataTable(source=source, columns=columns,
  width=550, max_width=800,
- height=100, max_height=150,
- sizing_mode='stretch_both')
+ height=100, max_height=150)
  table_title = Div(text="Cross Match Stats")
  table_title.align = "center"
  stats_table = column([table_title, dtab])
  # Attaching the hover object with labels
  hover = plot_residual.select(dict(type=HoverTool))
- hover.names = ['ratios']
  hover.tooltips = OrderedDict([
  ("ratio", "@y"),
  ("(Res1,Res2)", "(@res1,@res2)"),
@@ -2679,8 +2670,7 @@ def plot_subimage_stats(fitsnames, centre_coords, sizes, htmlprefix='default',
  columns = [TableColumn(field=x, title=x.capitalize()) for x in cols]
  dtab = DataTable(source=source, columns=columns,
  width=250, max_width=350,
- height=200, max_height=250,
- sizing_mode='stretch_both')
+ height=200, max_height=250)
  table_title = Div(text="Sub-image Statistics")
  table_title.align = "center"
  stats_table = column([table_title, dtab])
@@ -2866,8 +2856,7 @@ def plot_model_columns(catalog_file, x, y, x_err=None, y_err=None, svg=False,
  columns = [TableColumn(field=col, title=col) for col in column_list]
  dtab = DataTable(source=bokeh_source_table, columns=columns,
  width=width, max_width=width + 50,
- height=height, max_height=width + 50,
- sizing_mode='stretch_both')
+ height=height, max_height=width + 50)
  table_title = Div(text="Source Table")
  table_title.align = "center"
  source_table = column([table_title, dtab])
@@ -2900,8 +2889,7 @@ def plot_model_data(catalog_file, html_prefix=''):
  columns = [TableColumn(field=col, title=col) for col in column_list]
  dtab = DataTable(source=bokeh_source_table, columns=columns,
  width=width, max_width=width + 50,
- height=height, max_height=width + 50,
- sizing_mode='stretch_both')
+ height=height, max_height=width + 50)
  table_title = Div(text="Source Table")
  table_title.align = "center"
  source_table = column([table_title, dtab])

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "aimfast"
-version = "1.3.4"
+version = "1.3.5"
 description = "An Astronomical Image Fidelity Assessment Tool."
 authors = ["Athanaseus Ramaila <ramaila.jat@gmail.com>"]
 readme = "README.rst"
@@ -11,6 +11,8 @@ classifiers = ["Development Status :: 5 - Production/Stable",
  "Intended Audience :: Science/Research",
  "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
  "Programming Language :: Python :: 3.8",
+ "Programming Language :: Python :: 3.9",
+ "Programming Language :: Python :: 3.10",
  "Topic :: Scientific/Engineering :: Astronomy",
  "Topic :: Software Development :: Libraries"]
 keywords = ["fits", "dataset", "lsm", "models", "statistics", "html", "catalogs"]