lattice-grid-pandas
Framework-agnostic glue between a pandas DataFrame and Lattice Grid.
This package is the single source of truth for the parts every Python host wrapper needs and must not re-implement:
- the pandas-dtype -> grid column
typemapping (lattice_type), - column-major (columnar) serialization of a frame the browser reconstructs
(
build_columns,build_columnar,column_values), - value/dtype coercion for the edit round-trip (
cast_to_dtype), and - grid delivery + licence plumbing (
GRID_VERSION,cdn_urls,load_vendored,resolve_source).
It has no UI and no framework dependency -- only pandas -- so it can be unit tested without a browser or a notebook kernel.
Consumers:
lattice-grid-jupyter(phase C1) -- anywidget notebook widget.lattice-grid-dash(phase C2) -- Dash component.
Datetime contract: UTC end to end
Naive datetime64 columns are UTC. A column with no tz info is treated as
already being UTC, not the machine's local zone: outbound, its values
serialize as ISO 8601 strings with an explicit Z (e.g.
2021-06-01T12:00:00Z), never a bare 2021-06-01T12:00:00 -- the grid's
timestamp type parses a bare string as a wall-clock time in the browser's
own zone, which would silently shift every value by the browser's UTC offset.
A tz-aware column is converted to UTC before serializing, so every host
renders the identical instant regardless of the column's original zone.
Inbound, an edit is accepted as a Number (the grid's epoch-millisecond
instant), an ISO string with or without an offset (an offset-less string is
UTC under this same contract), or a pd.Timestamp; the result is converted to
UTC and then either stripped of tz (a naive column stays naive) or converted
to the column's own tz (a tz-aware column keeps reading in its own zone).
NaT survives the round trip as JSON null both ways.
1 maintainer
Metadata
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Release files for lattice-grid-pandas 1.101.7.0
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