@Wabiloo wrote:
I’ve been using plotly in a jupyter notebook without issue, in particular for the use of KDE and histograms using the FigureFactory.
Today I’m porting all this to Dash (which is awesome BTW!).However, I get this error message when trying to use
create_distplot:
ImportError: FigureFactory.create_distplot requires scipyMy code (summarised):
@app.callback( Output("graph_kde", "figure"), [ Input("table_comparisons", "selected_row_ids"), Input("table_outputs", "selected_row_ids") ] ) def update_graph_kde(comparison_names, output_ids): figure = graph_helpers.get_figure_basic() if comparison_names and output_ids and len(comparison_names) > 0 and len(output_ids) > 0: data = data_helpers.get_graph_framescore_data(manifest_helper, comparison_names[0], output_ids) figure = get_figure_kde(comparison_names[0], data) return figure def get_figure_kde(comparison_name, data): fig = get_figure_basic() if data: fig = ff.create_distplot( hist_data=[r['df']['vmaf'] for r in data], group_labels=[r['name'] for r in data], curve_type='kde', bin_size=.25 ) fig.layout.title = "Histogram, Probability Density and Rug plot, for VMAF score" fig.layout.xaxis.title = "VMAF Score" return figI
pip installed scipy, but no luck.
I seem to have solved by doing animport scipyat the top of my file, but that’s weird since it’s not explicitly used in the code…Am I doing anything wrong?
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