posit-dev / posit-dev/py-shiny
Dates not formatted in render.data_frame
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Description
@jcheng5 Perhaps this is expected and up to the user to format?
import pandas as pd
import numpy as np
from shiny import App, Inputs, Outputs, Session, reactive, render, req, ui
# Create a date range
dates = pd.date_range("20230101", periods=6)
# Create a DataFrame
data = pd.DataFrame(
{
"A": np.random.rand(6), # numeric column
"B": pd.Categorical(
["test", "train", "test", "train", "test", "train"]
), # categorical column
"C": dates, # date column
}
)
data
app_ui = ui.page_fluid(
ui.input_select(
"selection_mode",
"Selection mode",
{"none": "(None)", "single": "Single", "multiple": "Multiple"},
selected="multiple",
),
ui.input_switch("gridstyle", "Grid", True),
ui.input_switch("fullwidth", "Take full width", True),
ui.input_switch("fixedheight", "Fixed height", True),
ui.output_data_frame("grid"),
ui.panel_fixed(
ui.output_text_verbatim("detail"),
right="10px",
bottom="10px",
),
class_="p-3",
)
def server(input: Inputs, output: Outputs, session: Session):
df: reactive.Value[pd.DataFrame] = reactive.Value(data)
@output
@render.data_frame
def grid():
height = 350 if input.fixedheight() else None
width = "100%" if input.fullwidth() else "fit-content"
if input.gridstyle():
return render.DataGrid(
df(),
row_selection_mode=input.selection_mode(),
height=height,
width=width,
)
else:
return render.DataTable(
df(),
row_selection_mode=input.selection_mode(),
height=height,
width=width,
)
@reactive.Effect
@reactive.event(input.grid_cell_edit)
def handle_edit():
edit = input.grid_cell_edit()
df_copy = df().copy()
df_copy.iat[edit["row"], edit["col"]] = edit["new_value"]
df.set(df_copy)
@output
@render.text
def detail():
if (
input.grid_selected_rows() is not None
and len(input.grid_selected_rows()) > 0
):
# "split", "records", "index", "columns", "values", "table"
return df().iloc[list(input.grid_selected_rows())]
app = App(app_ui, server)
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the supplied Python example with render.data_frame using both DataGrid and DataTable, then trace how date columns are displayed. Determine whether the current output is expected and identify any existing tests or documentation covering date formatting; done means the behavior is resolved or clearly documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, pandas, python
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100