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Parent(s):
1e0e3a6
shiny v0.6.0; shinyswatch v0.4.1 (#3)
Browse files- shiny v0.6.0; shinyswatch v0.4.1 (8b4dab4d5cce6d3276a4a05d4e7eaf5fd4a4395a)
- Remove shiny.experimental using shiny v0.6.0 (e85cac34cc737f262b265c17f4f8976198517b83)
Co-authored-by: Barret Schloerke <schloerke@users.noreply.huggingface.co>
- app.py +11 -15
- requirements.txt +2 -2
app.py
CHANGED
@@ -6,7 +6,6 @@ import pandas as pd
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import seaborn as sns
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import shinyswatch
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import shiny.experimental as x
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from shiny import App, Inputs, Outputs, Session, reactive, render, req, ui
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sns.set_theme()
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@@ -18,10 +17,10 @@ numeric_cols: List[str] = df.select_dtypes(include=["float64"]).columns.tolist()
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species: List[str] = df["Species"].unique().tolist()
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species.sort()
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app_ui =
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shinyswatch.theme.minty(),
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ui.layout_sidebar(
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ui.
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# Artwork by @allison_horst
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ui.input_selectize(
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"xvar",
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@@ -41,16 +40,13 @@ app_ui = x.ui.page_fillable(
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ui.hr(),
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ui.input_switch("by_species", "Show species", value=True),
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ui.input_switch("show_margins", "Show marginal plots", value=True),
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width=2,
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),
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ui.
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-
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-
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-
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-
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-
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class_="text-end",
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),
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),
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),
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)
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@@ -91,11 +87,11 @@ def server(input: Inputs, output: Outputs, session: Session):
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df = filtered_df()
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def penguin_value_box(title: str, count: int, bgcol: str, showcase_img: str):
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return
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title,
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count,
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{"class_": "pt-1 pb-0"},
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showcase=
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ui.tags.img(
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{"style": "object-fit:contain;"},
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src=showcase_img,
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@@ -127,7 +123,7 @@ def server(input: Inputs, output: Outputs, session: Session):
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if name in input.species()
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]
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return
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# "darkorange", "purple", "cyan4"
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import seaborn as sns
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import shinyswatch
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from shiny import App, Inputs, Outputs, Session, reactive, render, req, ui
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sns.set_theme()
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species: List[str] = df["Species"].unique().tolist()
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species.sort()
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+
app_ui = ui.page_fillable(
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shinyswatch.theme.minty(),
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ui.layout_sidebar(
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ui.sidebar(
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# Artwork by @allison_horst
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ui.input_selectize(
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"xvar",
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ui.hr(),
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ui.input_switch("by_species", "Show species", value=True),
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ui.input_switch("show_margins", "Show marginal plots", value=True),
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),
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ui.output_ui("value_boxes"),
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ui.output_plot("scatter", fill=True),
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ui.help_text(
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"Artwork by ",
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ui.a("@allison_horst", href="https://twitter.com/allison_horst"),
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class_="text-end",
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),
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),
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)
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df = filtered_df()
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def penguin_value_box(title: str, count: int, bgcol: str, showcase_img: str):
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return ui.value_box(
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title,
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count,
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{"class_": "pt-1 pb-0"},
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showcase=ui.fill.as_fill_item(
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ui.tags.img(
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{"style": "object-fit:contain;"},
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src=showcase_img,
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if name in input.species()
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]
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return ui.layout_column_wrap(*value_boxes, width = 1 / len(value_boxes))
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# "darkorange", "purple", "cyan4"
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requirements.txt
CHANGED
@@ -1,4 +1,4 @@
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shiny==0.
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shinyswatch==0.
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seaborn==0.12.2
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matplotlib==3.7.1
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shiny==0.6.0
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shinyswatch==0.4.1
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seaborn==0.12.2
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matplotlib==3.7.1
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