release to test pypi

.github/workflows/release.yml

@@ -24,11 +24,11 @@ jobs:
       - name: Build package
         run: python -m build --sdist --wheel --outdir dist/
 
-      # - name: Publish dash-bootstrap-templates to TestPyPI
-      #   uses: pypa/[email protected]
-      #   with:
-      #     password: ${{ secrets.TEST_PYPI_API_TOKEN }}
-      #     repository_url: https://test.pypi.org/legacy/
+      - name: Publish dash-bootstrap-templates to TestPyPI
+        uses: pypa/[email protected]
+        with:
+          password: ${{ secrets.TEST_PYPI_API_TOKEN }}
+          repository_url: https://test.pypi.org/legacy/
 
       # - name: Publish dash-bootstrap-templates to PyPI
       #   uses: pypa/[email protected]

README.md

@@ -5,6 +5,9 @@ This library has a template for each of the 22 Bootstrap/Bootswatch themes avail
 [Dash Bootstrap Components Library](https://dash-bootstrap-components.opensource.faculty.ai/).
 
 ## Quickstart
+```python"
+pip install dash-bootstrap-templates
+```
 
 ```python
 
@@ -106,3 +109,7 @@ valid_themes = [
     "solar",
     "superhero",
 ]
+
+### Contributors
+Special thanks to @tcbegley for [the pull request](https://github.com/AnnMarieW/dash-bootstrap-templates/pull/2) to
+set up this library to publish to PyPI

examples/dl_demo_4figures.py

@@ -160,120 +160,3 @@ def update_charts(indicator, continents, years):
 
 
 
-
-from dash_bootstrap_templates import load_figure_template
-
-import dash
-import dash_labs as dl
-import dash_core_components as dcc
-import dash_html_components as html
-import plotly.express as px
-import dash_bootstrap_components as dbc
-
-
-
-tpl = dl.templates.dbc.DbcSidebar(
-    title="Dash Bootstrap Template Demo",
-    sidebar_columns=3,
-    theme=dbc.themes.FLATLY,                       # change theme here
-    figure_template=True
-)
-
-app = dash.Dash(__name__, plugins=[dl.plugins.FlexibleCallbacks()])
-
-df = px.data.gapminder()
-
-dropdown = dcc.Dropdown(
-    id="indicator",
-    options=[{"label": str(i), "value": i} for i in ["gdpPercap", "lifeExp", "pop"]],
-    value="gdpPercap",
-    clearable=False,
-)
-
-
-checklist = dbc.Checklist(
-    id="continents",
-    options=[{"label": i, "value": i} for i in df.continent.unique()],
-    value=df.continent.unique()[1:],
-    inline=True,
-)
-
-years = df.year.unique()
-range_slider = dcc.RangeSlider(
-    id="slider_years",
-    min=years[0],
-    max=years[-1],
-    step=5,
-    marks={int(i): str(i) for i in [1952,1962,1972,1982,1992,2002,2007]},
-    value=[1982, years[-1]],
-)
-
-badges = html.Div(
-    [
-        dbc.Badge("Primary", color="primary", className="mr-1"),
-        dbc.Badge("Secondary", color="secondary", className="mr-1"),
-        dbc.Badge("Success", color="success", className="mr-1"),
-        dbc.Badge("Warning", color="warning", className="mr-1"),
-        dbc.Badge("Danger", color="danger", className="mr-1"),
-        dbc.Badge("Info", color="info", className="mr-1"),
-        dbc.Badge("Light", color="light", className="mr-1"),
-        dbc.Badge("Dark", color="dark", className="mr-1"),
-    ]
-)
-
-
-@app.callback(
-    dl.Input(dropdown, label="Select indicator (y-axis)"),
-    dl.Input(checklist, label="Select continents"),
-    dl.Input(range_slider, label="Select time period"),
-    template=tpl,
-)
-def update_charts(indicator, continents, years):
-    if continents == [] or indicator is None:
-        return {}, {}
-
-    dff = df[df.year.between(years[0], years[1])]
-    dff = dff[dff.continent.isin(continents)]
-    line_fig = px.line(
-        dff, x="year", y=indicator, color="continent", line_group="country"
-    )
-
-    dff = dff[dff.year == years[1]]
-    scatter_fig = px.scatter(
-        dff, x="lifeExp", y=indicator, size="pop", color="pop", size_max=60
-    ).update_traces(marker_opacity=0.8)
-
-    avg_lifeExp = (dff["lifeExp"] * dff["pop"]).sum() / dff["pop"].sum()
-    map_fig = px.choropleth(
-        dff,
-        locations="iso_alpha",
-        color="lifeExp",
-        title="%.0f World Average Life Expectancy was %.1f years" % (years[1], avg_lifeExp),
-    )
-
-    hist_fig = px.histogram(dff, x="lifeExp", nbins=10, title="Life Expectancy")
-
-    return html.Div(
-        [
-            dbc.Row(
-                [
-                    dbc.Col(dcc.Graph(figure=line_fig), lg=6),
-                    dbc.Col(dcc.Graph(figure=scatter_fig), lg=6),
-                ]
-            ),
-            dbc.Row(
-                [
-                    dbc.Col(dcc.Graph(figure=hist_fig), lg=6),
-                    dbc.Col(dcc.Graph(figure=map_fig),lg=6),
-                ]
-            ),
-        ]
-    )
-
-
-tpl.add_component(badges, role="input", after=2)
-app.layout = tpl.layout(app)
-
-
-if __name__ == "__main__":
-    app.run_server(debug=True)