Add Missing `from_csv` kwargs
@@ -648,27 +648,29 @@ def from_csv(uri, csv_file, **kwargs):
:Keyword Arguments:
- Any ``pandas.read_csv`` supported keyword argument.
- TileDB-specific arguments:
+ * ``ctx``: A TileDB context
+ * ``sparse``: (default True) Create sparse schema
+ * ``index_dims``: Set the df index using a list of existing column names
* ``allows_duplicates``: Generated schema should allow duplicates
- * ``cell_order``: Schema cell order
- * ``tile_order``: Schema tile order
- * ``mode``: (default ``ingest``), Ingestion mode: ``ingest``, ``schema_only``,
- ``append``
- * ``full_domain``: Dimensions should be created with full range of the dtype
+ * ``mode``: (default ``ingest``), Ingestion mode: ``ingest``, ``schema_only``, ``append``
* ``attr_filters``: FilterList to apply to Attributes: FilterList or Dict[str -> FilterList]
for any attribute(s). Unspecified attributes will use default.
* ``dim_filters``: FilterList to apply to Dimensions: FilterList or Dict[str -> FilterList]
for any dimensions(s). Unspecified dimensions will use default.
* ``coords_filters``: FilterList to apply to all coordinates (Dimensions)
- * ``sparse``: (default True) Create sparse schema
- * ``tile``: Dimension tiling: accepts either an int that applies the tiling to all dimensions
- or a dict("dim_name": int) to specifically assign tiling to a given dimension
+ * ``offsets_filters``: FilterList to apply to all offsets
+ * ``full_domain``: Dimensions should be created with full range of the dtype
+ * ``tile``: Dimension tiling: accepts either an int that applies the tiling to all dimensions or a dict("dim_name": int) to specifically assign tiling to a given dimension
+ * ``row_start_idx``: Start index to start new write (for row-indexed ingestions).
+ * ``fillna``: Value to use to to fill holes
+ * ``column_types``: Dictionary of {``column_name``: dtype} to apply dtypes to columns
+ * ``varlen_types``: A set of {dtypes}; any column wihin the set is converted to a variable length attribute
* ``capacity``: Schema capacity.
+ * ``date_spec``: Dictionary of {``column_name``: format_spec} to apply to date/time columns which are not correctly inferred by pandas 'parse_dates'. Format must be specified using the Python format codes: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
+ * ``cell_order``: (default 'row-major) Schema cell order: 'row-major', 'col-major', or 'hilbert'
+ * ``tile_order``: (default 'row-major) Schema tile order: 'row-major' or 'col-major'
* ``timestamp``: Write TileDB array at specific timestamp.
- * ``row_start_idx``: Start index to start new write (for row-indexed ingestions).
- * ``date_spec``: Dictionary of {``column_name``: format_spec} to apply to date/time
- columns which are not correctly inferred by pandas 'parse_dates'.
- Format must be specified using the Python format codes:
- https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior
+
:return: None
**Example:**
