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Infer dims & coords from xarray variables passed to pm.Data #5796

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Infer dims & coords from xarray variables passed to pm.Data #5796

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34 changes: 28 additions & 6 deletions pymc/data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -485,6 +485,8 @@ def determine_coords(
dim_name = value.index.name
if dim_name is not None:
coords[dim_name] = value.index
if dims is None:
dims = dims_name
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dims should be a list

In addition, it might be a good idea to account for the case of Multi-Indexed DataFrames. (raise?)


# If value is a df, we also interpret the columns as coords:
if hasattr(value, "columns"):
Expand All @@ -495,7 +497,31 @@ def determine_coords(
dim_name = value.columns.name
if dim_name is not None:
coords[dim_name] = value.columns

if dims is None:
dims = dims_name

if isinstance(value, xr.DataArray):
dim_name = None
if dims is not None:
dim_name = dims[0]
if dim_name is None and value.dims[0] is not None:
dim_name = value.dims[0]
if dim_name is not None:
coords[dim_name] = dff.indexes.get(str(dff.dims[0])).values
if dims is None:
dims = dims_name

if isinstance(value, xr.DataArray):
dim_name = None
if dims is not None:
dim_name = dims[1]
if dim_name is None and value.dims[1] is not None:
dim_name = value.dims[1]
if dim_name is not None:
coords[dim_name] = dff.indexes.get(str(dff.dims[1])).values
if dims is None:
dims = dims_name

if isinstance(value, np.ndarray) and dims is not None:
if len(dims) != value.ndim:
raise pm.exceptions.ShapeError(
Expand All @@ -506,11 +532,7 @@ def determine_coords(
for size, dim in zip(value.shape, dims):
coord = model.coords.get(dim, None)
if coord is None and dim is not None:
coords[dim] = range(size)

if dims is None:
# TODO: Also determine dim names from the index
dims = [None] * np.ndim(value)
coords[dim] = range(size)

return coords, dims

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