Duplicate from posit/shiny-for-python-template

Co-authored-by: Gordon Shotwell <[email protected]>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

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+
+.venv/
+__pycache__
+.DS_Store

.vscode/settings.json

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+{
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter"
+    },
+    "python.formatting.provider": "none"
+}

Dockerfile

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+FROM python:3.12
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+EXPOSE 7860
+
+CMD ["shiny", "run", "app.py", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -0,0 +1,20 @@
+---
+title: Shiny for Python template
+emoji: 🌍
+colorFrom: yellow
+colorTo: indigo
+sdk: docker
+pinned: false
+license: mit
+---
+
+This is a templated Space for [Shiny for Python](https://shiny.rstudio.com/py/). 
+
+
+To get started with a new app do the following:
+
+1) Install Shiny with `pip install shiny`
+2) Create a new app with `shiny create`
+3) Then run the app with `shiny run --reload`
+
+To learn more about this framework please see the [Documentation](https://shiny.rstudio.com/py/docs/overview.html).

app.py

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+import faicons as fa
+import plotly.express as px
+
+# Load data and compute static values
+from shared import app_dir, tips
+from shinywidgets import render_plotly
+
+from shiny import reactive, render
+from shiny.express import input, ui
+
+bill_rng = (min(tips.total_bill), max(tips.total_bill))
+
+# Add page title and sidebar
+ui.page_opts(title="Restaurant tipping", fillable=True)
+
+with ui.sidebar(open="desktop"):
+    ui.input_slider(
+        "total_bill",
+        "Bill amount",
+        min=bill_rng[0],
+        max=bill_rng[1],
+        value=bill_rng,
+        pre="$",
+    )
+    ui.input_checkbox_group(
+        "time",
+        "Food service",
+        ["Lunch", "Dinner"],
+        selected=["Lunch", "Dinner"],
+        inline=True,
+    )
+    ui.input_action_button("reset", "Reset filter")
+
+# Add main content
+ICONS = {
+    "user": fa.icon_svg("user", "regular"),
+    "wallet": fa.icon_svg("wallet"),
+    "currency-dollar": fa.icon_svg("dollar-sign"),
+    "ellipsis": fa.icon_svg("ellipsis"),
+}
+
+with ui.layout_columns(fill=False):
+    with ui.value_box(showcase=ICONS["user"]):
+        "Total tippers"
+
+        @render.express
+        def total_tippers():
+            tips_data().shape[0]
+
+    with ui.value_box(showcase=ICONS["wallet"]):
+        "Average tip"
+
+        @render.express
+        def average_tip():
+            d = tips_data()
+            if d.shape[0] > 0:
+                perc = d.tip / d.total_bill
+                f"{perc.mean():.1%}"
+
+    with ui.value_box(showcase=ICONS["currency-dollar"]):
+        "Average bill"
+
+        @render.express
+        def average_bill():
+            d = tips_data()
+            if d.shape[0] > 0:
+                bill = d.total_bill.mean()
+                f"${bill:.2f}"
+
+
+with ui.layout_columns(col_widths=[6, 6, 12]):
+    with ui.card(full_screen=True):
+        ui.card_header("Tips data")
+
+        @render.data_frame
+        def table():
+            return render.DataGrid(tips_data())
+
+    with ui.card(full_screen=True):
+        with ui.card_header(class_="d-flex justify-content-between align-items-center"):
+            "Total bill vs tip"
+            with ui.popover(title="Add a color variable", placement="top"):
+                ICONS["ellipsis"]
+                ui.input_radio_buttons(
+                    "scatter_color",
+                    None,
+                    ["none", "sex", "smoker", "day", "time"],
+                    inline=True,
+                )
+
+        @render_plotly
+        def scatterplot():
+            color = input.scatter_color()
+            return px.scatter(
+                tips_data(),
+                x="total_bill",
+                y="tip",
+                color=None if color == "none" else color,
+                trendline="lowess",
+            )
+
+    with ui.card(full_screen=True):
+        with ui.card_header(class_="d-flex justify-content-between align-items-center"):
+            "Tip percentages"
+            with ui.popover(title="Add a color variable"):
+                ICONS["ellipsis"]
+                ui.input_radio_buttons(
+                    "tip_perc_y",
+                    "Split by:",
+                    ["sex", "smoker", "day", "time"],
+                    selected="day",
+                    inline=True,
+                )
+
+        @render_plotly
+        def tip_perc():
+            from ridgeplot import ridgeplot
+
+            dat = tips_data()
+            dat["percent"] = dat.tip / dat.total_bill
+            yvar = input.tip_perc_y()
+            uvals = dat[yvar].unique()
+
+            samples = [[dat.percent[dat[yvar] == val]] for val in uvals]
+
+            plt = ridgeplot(
+                samples=samples,
+                labels=uvals,
+                bandwidth=0.01,
+                colorscale="viridis",
+                colormode="row-index",
+            )
+
+            plt.update_layout(
+                legend=dict(
+                    orientation="h", yanchor="bottom", y=1.02, xanchor="center", x=0.5
+                )
+            )
+
+            return plt
+
+
+ui.include_css(app_dir / "styles.css")
+
+# --------------------------------------------------------
+# Reactive calculations and effects
+# --------------------------------------------------------
+
+
+@reactive.calc
+def tips_data():
+    bill = input.total_bill()
+    idx1 = tips.total_bill.between(bill[0], bill[1])
+    idx2 = tips.time.isin(input.time())
+    return tips[idx1 & idx2]
+
+
+@reactive.effect
+@reactive.event(input.reset)
+def _():
+    ui.update_slider("total_bill", value=bill_rng)
+    ui.update_checkbox_group("time", selected=["Lunch", "Dinner"])

requirements.txt

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+faicons
+shiny
+shinywidgets
+plotly
+pandas
+ridgeplot

shared.py

@@ -0,0 +1,6 @@
+from pathlib import Path
+
+import pandas as pd
+
+app_dir = Path(__file__).parent
+tips = pd.read_csv(app_dir / "tips.csv")

styles.css

@@ -0,0 +1,12 @@
+:root {
+  --bslib-sidebar-main-bg: #f8f8f8;
+}
+
+.popover {
+  --bs-popover-header-bg: #222;
+  --bs-popover-header-color: #fff;
+}
+
+.popover .btn-close {
+  filter: var(--bs-btn-close-white-filter);
+}

tips.csv

@@ -0,0 +1,245 @@
+total_bill,tip,sex,smoker,day,time,size
+16.99,1.01,Female,No,Sun,Dinner,2
+10.34,1.66,Male,No,Sun,Dinner,3
+21.01,3.5,Male,No,Sun,Dinner,3
+23.68,3.31,Male,No,Sun,Dinner,2
+24.59,3.61,Female,No,Sun,Dinner,4
+25.29,4.71,Male,No,Sun,Dinner,4
+8.77,2.0,Male,No,Sun,Dinner,2
+26.88,3.12,Male,No,Sun,Dinner,4
+15.04,1.96,Male,No,Sun,Dinner,2
+14.78,3.23,Male,No,Sun,Dinner,2
+10.27,1.71,Male,No,Sun,Dinner,2
+35.26,5.0,Female,No,Sun,Dinner,4
+15.42,1.57,Male,No,Sun,Dinner,2
+18.43,3.0,Male,No,Sun,Dinner,4
+14.83,3.02,Female,No,Sun,Dinner,2
+21.58,3.92,Male,No,Sun,Dinner,2
+10.33,1.67,Female,No,Sun,Dinner,3
+16.29,3.71,Male,No,Sun,Dinner,3
+16.97,3.5,Female,No,Sun,Dinner,3
+20.65,3.35,Male,No,Sat,Dinner,3
+17.92,4.08,Male,No,Sat,Dinner,2
+20.29,2.75,Female,No,Sat,Dinner,2
+15.77,2.23,Female,No,Sat,Dinner,2
+39.42,7.58,Male,No,Sat,Dinner,4
+19.82,3.18,Male,No,Sat,Dinner,2
+17.81,2.34,Male,No,Sat,Dinner,4
+13.37,2.0,Male,No,Sat,Dinner,2
+12.69,2.0,Male,No,Sat,Dinner,2
+21.7,4.3,Male,No,Sat,Dinner,2
+19.65,3.0,Female,No,Sat,Dinner,2
+9.55,1.45,Male,No,Sat,Dinner,2
+18.35,2.5,Male,No,Sat,Dinner,4
+15.06,3.0,Female,No,Sat,Dinner,2
+20.69,2.45,Female,No,Sat,Dinner,4
+17.78,3.27,Male,No,Sat,Dinner,2
+24.06,3.6,Male,No,Sat,Dinner,3
+16.31,2.0,Male,No,Sat,Dinner,3
+16.93,3.07,Female,No,Sat,Dinner,3
+18.69,2.31,Male,No,Sat,Dinner,3
+31.27,5.0,Male,No,Sat,Dinner,3
+16.04,2.24,Male,No,Sat,Dinner,3
+17.46,2.54,Male,No,Sun,Dinner,2
+13.94,3.06,Male,No,Sun,Dinner,2
+9.68,1.32,Male,No,Sun,Dinner,2
+30.4,5.6,Male,No,Sun,Dinner,4
+18.29,3.0,Male,No,Sun,Dinner,2
+22.23,5.0,Male,No,Sun,Dinner,2
+32.4,6.0,Male,No,Sun,Dinner,4
+28.55,2.05,Male,No,Sun,Dinner,3
+18.04,3.0,Male,No,Sun,Dinner,2
+12.54,2.5,Male,No,Sun,Dinner,2
+10.29,2.6,Female,No,Sun,Dinner,2
+34.81,5.2,Female,No,Sun,Dinner,4
+9.94,1.56,Male,No,Sun,Dinner,2
+25.56,4.34,Male,No,Sun,Dinner,4
+19.49,3.51,Male,No,Sun,Dinner,2
+38.01,3.0,Male,Yes,Sat,Dinner,4
+26.41,1.5,Female,No,Sat,Dinner,2
+11.24,1.76,Male,Yes,Sat,Dinner,2
+48.27,6.73,Male,No,Sat,Dinner,4
+20.29,3.21,Male,Yes,Sat,Dinner,2
+13.81,2.0,Male,Yes,Sat,Dinner,2
+11.02,1.98,Male,Yes,Sat,Dinner,2
+18.29,3.76,Male,Yes,Sat,Dinner,4
+17.59,2.64,Male,No,Sat,Dinner,3
+20.08,3.15,Male,No,Sat,Dinner,3
+16.45,2.47,Female,No,Sat,Dinner,2
+3.07,1.0,Female,Yes,Sat,Dinner,1
+20.23,2.01,Male,No,Sat,Dinner,2
+15.01,2.09,Male,Yes,Sat,Dinner,2
+12.02,1.97,Male,No,Sat,Dinner,2
+17.07,3.0,Female,No,Sat,Dinner,3
+26.86,3.14,Female,Yes,Sat,Dinner,2
+25.28,5.0,Female,Yes,Sat,Dinner,2
+14.73,2.2,Female,No,Sat,Dinner,2
+10.51,1.25,Male,No,Sat,Dinner,2
+17.92,3.08,Male,Yes,Sat,Dinner,2
+27.2,4.0,Male,No,Thur,Lunch,4
+22.76,3.0,Male,No,Thur,Lunch,2
+17.29,2.71,Male,No,Thur,Lunch,2
+19.44,3.0,Male,Yes,Thur,Lunch,2
+16.66,3.4,Male,No,Thur,Lunch,2
+10.07,1.83,Female,No,Thur,Lunch,1
+32.68,5.0,Male,Yes,Thur,Lunch,2
+15.98,2.03,Male,No,Thur,Lunch,2
+34.83,5.17,Female,No,Thur,Lunch,4
+13.03,2.0,Male,No,Thur,Lunch,2
+18.28,4.0,Male,No,Thur,Lunch,2
+24.71,5.85,Male,No,Thur,Lunch,2
+21.16,3.0,Male,No,Thur,Lunch,2
+28.97,3.0,Male,Yes,Fri,Dinner,2
+22.49,3.5,Male,No,Fri,Dinner,2
+5.75,1.0,Female,Yes,Fri,Dinner,2
+16.32,4.3,Female,Yes,Fri,Dinner,2
+22.75,3.25,Female,No,Fri,Dinner,2
+40.17,4.73,Male,Yes,Fri,Dinner,4
+27.28,4.0,Male,Yes,Fri,Dinner,2
+12.03,1.5,Male,Yes,Fri,Dinner,2
+21.01,3.0,Male,Yes,Fri,Dinner,2
+12.46,1.5,Male,No,Fri,Dinner,2
+11.35,2.5,Female,Yes,Fri,Dinner,2
+15.38,3.0,Female,Yes,Fri,Dinner,2
+44.3,2.5,Female,Yes,Sat,Dinner,3
+22.42,3.48,Female,Yes,Sat,Dinner,2
+20.92,4.08,Female,No,Sat,Dinner,2
+15.36,1.64,Male,Yes,Sat,Dinner,2
+20.49,4.06,Male,Yes,Sat,Dinner,2
+25.21,4.29,Male,Yes,Sat,Dinner,2
+18.24,3.76,Male,No,Sat,Dinner,2
+14.31,4.0,Female,Yes,Sat,Dinner,2
+14.0,3.0,Male,No,Sat,Dinner,2
+7.25,1.0,Female,No,Sat,Dinner,1
+38.07,4.0,Male,No,Sun,Dinner,3
+23.95,2.55,Male,No,Sun,Dinner,2
+25.71,4.0,Female,No,Sun,Dinner,3
+17.31,3.5,Female,No,Sun,Dinner,2
+29.93,5.07,Male,No,Sun,Dinner,4
+10.65,1.5,Female,No,Thur,Lunch,2
+12.43,1.8,Female,No,Thur,Lunch,2
+24.08,2.92,Female,No,Thur,Lunch,4
+11.69,2.31,Male,No,Thur,Lunch,2
+13.42,1.68,Female,No,Thur,Lunch,2
+14.26,2.5,Male,No,Thur,Lunch,2
+15.95,2.0,Male,No,Thur,Lunch,2
+12.48,2.52,Female,No,Thur,Lunch,2
+29.8,4.2,Female,No,Thur,Lunch,6
+8.52,1.48,Male,No,Thur,Lunch,2
+14.52,2.0,Female,No,Thur,Lunch,2
+11.38,2.0,Female,No,Thur,Lunch,2
+22.82,2.18,Male,No,Thur,Lunch,3
+19.08,1.5,Male,No,Thur,Lunch,2
+20.27,2.83,Female,No,Thur,Lunch,2
+11.17,1.5,Female,No,Thur,Lunch,2
+12.26,2.0,Female,No,Thur,Lunch,2
+18.26,3.25,Female,No,Thur,Lunch,2
+8.51,1.25,Female,No,Thur,Lunch,2
+10.33,2.0,Female,No,Thur,Lunch,2
+14.15,2.0,Female,No,Thur,Lunch,2
+16.0,2.0,Male,Yes,Thur,Lunch,2
+13.16,2.75,Female,No,Thur,Lunch,2
+17.47,3.5,Female,No,Thur,Lunch,2
+34.3,6.7,Male,No,Thur,Lunch,6
+41.19,5.0,Male,No,Thur,Lunch,5
+27.05,5.0,Female,No,Thur,Lunch,6
+16.43,2.3,Female,No,Thur,Lunch,2
+8.35,1.5,Female,No,Thur,Lunch,2
+18.64,1.36,Female,No,Thur,Lunch,3
+11.87,1.63,Female,No,Thur,Lunch,2
+9.78,1.73,Male,No,Thur,Lunch,2
+7.51,2.0,Male,No,Thur,Lunch,2
+14.07,2.5,Male,No,Sun,Dinner,2
+13.13,2.0,Male,No,Sun,Dinner,2
+17.26,2.74,Male,No,Sun,Dinner,3
+24.55,2.0,Male,No,Sun,Dinner,4
+19.77,2.0,Male,No,Sun,Dinner,4
+29.85,5.14,Female,No,Sun,Dinner,5
+48.17,5.0,Male,No,Sun,Dinner,6
+25.0,3.75,Female,No,Sun,Dinner,4
+13.39,2.61,Female,No,Sun,Dinner,2
+16.49,2.0,Male,No,Sun,Dinner,4
+21.5,3.5,Male,No,Sun,Dinner,4
+12.66,2.5,Male,No,Sun,Dinner,2
+16.21,2.0,Female,No,Sun,Dinner,3
+13.81,2.0,Male,No,Sun,Dinner,2
+17.51,3.0,Female,Yes,Sun,Dinner,2
+24.52,3.48,Male,No,Sun,Dinner,3
+20.76,2.24,Male,No,Sun,Dinner,2
+31.71,4.5,Male,No,Sun,Dinner,4
+10.59,1.61,Female,Yes,Sat,Dinner,2
+10.63,2.0,Female,Yes,Sat,Dinner,2
+50.81,10.0,Male,Yes,Sat,Dinner,3
+15.81,3.16,Male,Yes,Sat,Dinner,2
+7.25,5.15,Male,Yes,Sun,Dinner,2
+31.85,3.18,Male,Yes,Sun,Dinner,2
+16.82,4.0,Male,Yes,Sun,Dinner,2
+32.9,3.11,Male,Yes,Sun,Dinner,2
+17.89,2.0,Male,Yes,Sun,Dinner,2
+14.48,2.0,Male,Yes,Sun,Dinner,2
+9.6,4.0,Female,Yes,Sun,Dinner,2
+34.63,3.55,Male,Yes,Sun,Dinner,2
+34.65,3.68,Male,Yes,Sun,Dinner,4
+23.33,5.65,Male,Yes,Sun,Dinner,2
+45.35,3.5,Male,Yes,Sun,Dinner,3
+23.17,6.5,Male,Yes,Sun,Dinner,4
+40.55,3.0,Male,Yes,Sun,Dinner,2
+20.69,5.0,Male,No,Sun,Dinner,5
+20.9,3.5,Female,Yes,Sun,Dinner,3
+30.46,2.0,Male,Yes,Sun,Dinner,5
+18.15,3.5,Female,Yes,Sun,Dinner,3
+23.1,4.0,Male,Yes,Sun,Dinner,3
+15.69,1.5,Male,Yes,Sun,Dinner,2
+19.81,4.19,Female,Yes,Thur,Lunch,2
+28.44,2.56,Male,Yes,Thur,Lunch,2
+15.48,2.02,Male,Yes,Thur,Lunch,2
+16.58,4.0,Male,Yes,Thur,Lunch,2
+7.56,1.44,Male,No,Thur,Lunch,2
+10.34,2.0,Male,Yes,Thur,Lunch,2
+43.11,5.0,Female,Yes,Thur,Lunch,4
+13.0,2.0,Female,Yes,Thur,Lunch,2
+13.51,2.0,Male,Yes,Thur,Lunch,2
+18.71,4.0,Male,Yes,Thur,Lunch,3
+12.74,2.01,Female,Yes,Thur,Lunch,2
+13.0,2.0,Female,Yes,Thur,Lunch,2
+16.4,2.5,Female,Yes,Thur,Lunch,2
+20.53,4.0,Male,Yes,Thur,Lunch,4
+16.47,3.23,Female,Yes,Thur,Lunch,3
+26.59,3.41,Male,Yes,Sat,Dinner,3
+38.73,3.0,Male,Yes,Sat,Dinner,4
+24.27,2.03,Male,Yes,Sat,Dinner,2
+12.76,2.23,Female,Yes,Sat,Dinner,2
+30.06,2.0,Male,Yes,Sat,Dinner,3
+25.89,5.16,Male,Yes,Sat,Dinner,4
+48.33,9.0,Male,No,Sat,Dinner,4
+13.27,2.5,Female,Yes,Sat,Dinner,2
+28.17,6.5,Female,Yes,Sat,Dinner,3
+12.9,1.1,Female,Yes,Sat,Dinner,2
+28.15,3.0,Male,Yes,Sat,Dinner,5
+11.59,1.5,Male,Yes,Sat,Dinner,2
+7.74,1.44,Male,Yes,Sat,Dinner,2
+30.14,3.09,Female,Yes,Sat,Dinner,4
+12.16,2.2,Male,Yes,Fri,Lunch,2
+13.42,3.48,Female,Yes,Fri,Lunch,2
+8.58,1.92,Male,Yes,Fri,Lunch,1
+15.98,3.0,Female,No,Fri,Lunch,3
+13.42,1.58,Male,Yes,Fri,Lunch,2
+16.27,2.5,Female,Yes,Fri,Lunch,2
+10.09,2.0,Female,Yes,Fri,Lunch,2
+20.45,3.0,Male,No,Sat,Dinner,4
+13.28,2.72,Male,No,Sat,Dinner,2
+22.12,2.88,Female,Yes,Sat,Dinner,2
+24.01,2.0,Male,Yes,Sat,Dinner,4
+15.69,3.0,Male,Yes,Sat,Dinner,3
+11.61,3.39,Male,No,Sat,Dinner,2
+10.77,1.47,Male,No,Sat,Dinner,2
+15.53,3.0,Male,Yes,Sat,Dinner,2
+10.07,1.25,Male,No,Sat,Dinner,2
+12.6,1.0,Male,Yes,Sat,Dinner,2
+32.83,1.17,Male,Yes,Sat,Dinner,2
+35.83,4.67,Female,No,Sat,Dinner,3
+29.03,5.92,Male,No,Sat,Dinner,3
+27.18,2.0,Female,Yes,Sat,Dinner,2
+22.67,2.0,Male,Yes,Sat,Dinner,2
+17.82,1.75,Male,No,Sat,Dinner,2
+18.78,3.0,Female,No,Thur,Dinner,2