Fillna

class of dascore.proc.basic
inherits from: PatchProcessor, DascoreBaseModel, pydantic.main.BaseModel

Fillna(
    *args ,
    value: Any ,
    include_inf: bool = True,
)-> None

Return a patch with nullish values replaced by a value.

Parameters

Parameter	Description
patch	The patch which may contain nullish values.
value	The value to replace nullish values with.
include_inf	If True, also fill all non-finite values.

Note

When include_inf is False, “nullish” is defined by pandas.isnull. When include_inf is True (default), “nullish” includes non-finite values (NaN, inf, -inf) as determined by numpy.isfinite

Examples

import dascore as dc
# load an example patch which has some NaN values.
patch = dc.get_example_patch("patch_with_null")

# Replace all occurrences of NaN with 0
out = patch.fillna(0)

# Replace all occurrences of NaN with 5
out = patch.fillna(5)

Methods

Name	Description
check	Refuse a patch which does not carry what the operation needs.
get_metadata	Return the result’s metadata and the arguments `kernel` needs.
kernel	Return the data with the nullish values filled; the data if none.
model_copy	Copy the model, dropping cached values the update invalidates.
new	Create new instance with some attributed updated.
numpy_kernel	Return a copy with the nullish values filled; the data if none.
fillna	Return a patch with nullish values replaced by a value.
reconcile	Return metadata or a patch holding the final data; default as is.
run	Run the operation: check, get_metadata, kernel, reconcile, record.