def umap_iplot(x, df_text, preds):
hover_data = pd.DataFrame({'index': preds, 'label': df_text})
mapper = umap.UMAP().fit(x)
p = uplot.interactive(mapper,
labels=preds,
hover_data=hover_data,
point_size=2)
uplot.show(p)
return mapper
def visualise(self, data):
mapper = UMAPBase()
mapper.embedding_ = data[["x", "y"]].values
p = interactive(mapper,
labels=data["class"],
hover_data=data,
point_size=5,
interactive_text_search=False)
del p.tools[len(p.tools) - 1]
p.add_tools(get_hovertool())
p.add_tools(LassoSelectTool())
p_json = json_item(p)
return p_json
def test_plot_runs_at_all(mapper, iris):
from umap import plot as umap_plot
umap_plot.points(mapper)
umap_plot.points(mapper, labels=iris.target)
umap_plot.points(mapper, values=iris.data[:, 0])
umap_plot.points(mapper, theme="fire")
umap_plot.diagnostic(mapper, diagnostic_type="all")
umap_plot.diagnostic(mapper, diagnostic_type="neighborhood")
umap_plot.connectivity(mapper)
umap_plot.interactive(mapper)
umap_plot.interactive(mapper, labels=iris.target)
umap_plot.interactive(mapper, values=iris.data[:, 0])
umap_plot.interactive(mapper, theme="fire")
umap_plot._datashade_points(mapper.embedding_)
def test_plot_runs_at_all(mapper, iris, iris_selection):
from umap import plot as umap_plot
umap_plot.points(mapper)
umap_plot.points(mapper, labels=iris.target)
umap_plot.points(mapper, values=iris.data[:, 0])
umap_plot.points(mapper, labels=iris.target, subset_points=iris_selection)
umap_plot.points(mapper, values=iris.data[:, 0], subset_points=iris_selection)
umap_plot.points(mapper, theme="fire")
umap_plot.diagnostic(mapper, diagnostic_type="all")
umap_plot.diagnostic(mapper, diagnostic_type="neighborhood")
umap_plot.connectivity(mapper)
umap_plot.connectivity(mapper, theme="fire")
umap_plot.connectivity(mapper, edge_bundling="hammer")
umap_plot.interactive(mapper)
umap_plot.interactive(mapper, labels=iris.target)
umap_plot.interactive(mapper, values=iris.data[:, 0])
umap_plot.interactive(mapper, labels=iris.target, subset_points=iris_selection)
umap_plot.interactive(mapper, values=iris.data[:, 0], subset_points=iris_selection)
umap_plot.interactive(mapper, theme="fire")
umap_plot._datashade_points(mapper.embedding_)
umap_plot._datashade_points(mapper.embedding_, labels=iris.target)
umap_plot._datashade_points(mapper.embedding_, values=iris.data[:, 0])