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related #7308 related #7314
maybe something like this
df.get_for_dtypes(types)
types could be a list of string/dtypes or a dtype/string
e.g.
'float64' ['float'] ['float32','float64','object'] ['float',np.dtype('bool')] ['numeric'] ['datetime','timedelta']
are possible values
pretty easy to implement (just translate the types and filter on the blocks, ala _get_numeric_data)
_get_numeric_data
The text was updated successfully, but these errors were encountered:
if anyone could think of a better name.... :)
Sorry, something went wrong.
cols_with_type(list_o_types)
could also have a signature
``df.get_for_dtypes(include=..., exclude=....)`
Is this intended for internal use only, or for everyone?
I think external (user) use; (as we already have _get_numeric_data/_get_bool_data (and could make another if necessary
_get_numeric_data/_get_bool_data
Successfully merging a pull request may close this issue.
related #7308
related #7314
maybe something like this
types could be a list of string/dtypes or a dtype/string
e.g.
are possible values
pretty easy to implement (just translate the types and filter on the blocks, ala
_get_numeric_data
)The text was updated successfully, but these errors were encountered: