diff --git a/shiny/examples/input_file/app.py b/shiny/examples/input_file/app.py
deleted file mode 100644
index 0b754bafa..000000000
--- a/shiny/examples/input_file/app.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import pandas as pd
-
-from shiny import App, Inputs, Outputs, Session, reactive, render, ui
-from shiny.types import FileInfo
-
-app_ui = ui.page_fluid(
-    ui.input_file("file1", "Choose CSV File", accept=[".csv"], multiple=False),
-    ui.input_checkbox_group(
-        "stats",
-        "Summary Stats",
-        choices=["Row Count", "Column Count", "Column Names"],
-        selected=["Row Count", "Column Count", "Column Names"],
-    ),
-    ui.output_table("summary"),
-)
-
-
-def server(input: Inputs, output: Outputs, session: Session):
-    @reactive.Calc
-    def parsed_file():
-        file: list[FileInfo] | None = input.file1()
-        if file is None:
-            return pd.DataFrame()
-        return pd.read_csv(  # pyright: ignore[reportUnknownMemberType]
-            file[0]["datapath"]
-        )
-
-    @output
-    @render.table
-    def summary():
-        df = parsed_file()
-
-        if df.empty:
-            return pd.DataFrame()
-
-        # Get the row count, column count, and column names of the DataFrame
-        row_count = df.shape[0]
-        column_count = df.shape[1]
-        names = df.columns.tolist()
-        column_names = ", ".join(str(name) for name in names)
-
-        # Create a new DataFrame to display the information
-        info_df = pd.DataFrame(
-            {
-                "Row Count": [row_count],
-                "Column Count": [column_count],
-                "Column Names": [column_names],
-            }
-        )
-
-        # input.stats() is a list of strings; subset the columns based on the selected
-        # checkboxes
-        return info_df.loc[:, input.stats()]
-
-
-app = App(app_ui, server)
diff --git a/shiny/plotutils.py b/shiny/plotutils.py
index 05c3f1fad..a7e7bca68 100644
--- a/shiny/plotutils.py
+++ b/shiny/plotutils.py
@@ -104,7 +104,10 @@ def brushed_points(
     use_y = "y" in brush["direction"]
 
     # Filter out x and y values
-    keep_rows: pd.Series[bool] = pd.Series(True, index=new_df.index)
+    keep_rows: pd.Series[bool] = pd.Series(
+        True,
+        index=new_df.index,  # pyright: ignore[reportUnknownMemberType]
+    )
     if use_x:
         if xvar is None and "x" in brush["mapping"]:
             xvar = brush["mapping"]["x"]