Upload app.py

app.py

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+# This app is translated from Mastering Shinywidgets
+# https://mastering-shiny.org/basic-reactivity.html#reactive-expressions-1
+from shiny import App, render, ui
+from numpy import random
+
+# Functions we import from stats.py
+from stats import freqpoly, t_test
+
+app_ui = ui.page_fluid(
+    ui.row(
+        ui.column(
+            4,
+            "Distribution 1",
+            ui.input_numeric("n1", label="n", value=1000, min=1),
+            ui.input_numeric("mean1", label="µ", value=0, step=0.1),
+            ui.input_numeric("sd1", label="σ", value=0.5, min=0.1, step=0.1),
+        ),
+        ui.column(
+            4,
+            "Distribution 2",
+            ui.input_numeric("n2", label="n", value=1000, min=1),
+            ui.input_numeric("mean2", label="µ", value=0, step=0.1),
+            ui.input_numeric("sd2", label="σ", value=0.5, min=0.1, step=0.1),
+        ),
+        ui.column(
+            4,
+            "Frequency polygon",
+            ui.input_numeric("binwidth", label="Bin width", value=0.1, step=0.1),
+            ui.input_slider("range", label="range", value=[-3, 3], min=-5, max=5),
+        ),
+    ),
+    ui.row(
+        ui.column(9, ui.output_plot("hist")),
+        ui.column(3, ui.output_text_verbatim("ttest")),
+    ),
+)
+
+
+def server(input, output, session):
+    @output
+    @render.plot
+    def hist():
+        print(input.range())
+        x1 = random.normal(input.mean1(), input.sd1(), input.n1())
+        x2 = random.normal(input.mean2(), input.sd2(), input.n2())
+        return freqpoly(x1, x2, input.binwidth(), input.range())
+
+    @output
+    @render.text
+    def ttest():
+        x1 = random.normal(0, 1, 100)
+        x2 = random.normal(0, 1, 100)
+        return t_test(x1, x2)
+
+
+app = App(app_ui, server)