Merge pull request #20 from Elphick/16-split-along-a-dimension-with-function

16 split along a dimension with function

Author: elphick

elphick/mass_composition/mc_network.py

@@ -149,7 +149,7 @@ def plot_network(self) -> go.Figure:
     def plot_sankey(self,
                     width_var: str = 'mass_wet',
                     color_var: Optional[str] = None,
-                    edge_colormap: Optional[str] = 'viridis',
+                    edge_colormap: Optional[str] = 'copper_r',
                     vmin: Optional[float] = None,
                     vmax: Optional[float] = None,
                     ) -> go.Figure:
@@ -181,7 +181,7 @@ def table_plot(self,
                    table_even_color: str = 'lightgray',
                    sankey_width_var: str = 'mass_wet',
                    sankey_color_var: Optional[str] = None,
-                   sankey_edge_colormap: Optional[str] = 'copper',
+                   sankey_edge_colormap: Optional[str] = 'copper_r',
                    sankey_vmin: Optional[float] = None,
                    sankey_vmax: Optional[float] = None
                    ) -> go.Figure:

examples/plot_demo.py

@@ -6,6 +6,7 @@
 """
 
 import pandas as pd
+import plotly
 from plotly.graph_objs import Figure
 from test.data.sample_data import sample_data
 from elphick.mass_composition import MassComposition
@@ -53,8 +54,6 @@
 # Create a ternary diagram for 3 composition variables
 
 fig4 = obj_mc.plot_ternary(variables=['SiO2', 'Al2O3', 'LOI'], color='group')
-# save the figure for use as the sphinx-gallery thumbnail
-# fig4.write_image(Path(__file__).parent.parent / 'docs/source/_static/ternary.png')
-# sphinx_gallery_thumbnail_path = '_static/ternary.png'
-fig4
+# noinspection PyTypeChecker
+plotly.io.show(fig4)  # this call to show will set the thumbnail for use in the gallery
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "mass-composition"
-version = "0.1.7"
+version = "0.1.8"
 description = "For managing multi-dimensional mass-composition datasets, supporting weighted mathematical operations and visualisation."
 authors = ["Greg <greg@elphick.com.au>"]
 packages = [{ include = "elphick/mass_composition" }]