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CLN: Static types in pandas/_lib/lib.pyx #33329

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Merged
merged 4 commits into from
Apr 10, 2020
Merged

CLN: Static types in pandas/_lib/lib.pyx #33329

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1c15579
Static types in `pandas/_lib/lib.pyx`
Apr 6, 2020
be37a37
Merge remote-tracking branch 'upstream/master' into CLN-StaticTypes-_…
Apr 7, 2020
61f59f5
Revert some changes
Apr 7, 2020
7e4f13c
Reverted cdef the dict
Apr 7, 2020
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61 changes: 31 additions & 30 deletions pandas/_libs/lib.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -1001,34 +1001,34 @@ cdef inline bint c_is_list_like(object obj, bint allow_sets):


_TYPE_MAP = {
'categorical': 'categorical',
'category': 'categorical',
'int8': 'integer',
'int16': 'integer',
'int32': 'integer',
'int64': 'integer',
'i': 'integer',
'uint8': 'integer',
'uint16': 'integer',
'uint32': 'integer',
'uint64': 'integer',
'u': 'integer',
'float32': 'floating',
'float64': 'floating',
'f': 'floating',
'complex64': 'complex',
'complex128': 'complex',
'c': 'complex',
'string': 'string',
'S': 'bytes',
'U': 'string',
'bool': 'boolean',
'b': 'boolean',
'datetime64[ns]': 'datetime64',
'M': 'datetime64',
'timedelta64[ns]': 'timedelta64',
'm': 'timedelta64',
'interval': 'interval',
"categorical": "categorical",
"category": "categorical",
"int8": "integer",
"int16": "integer",
"int32": "integer",
"int64": "integer",
"i": "integer",
"uint8": "integer",
"uint16": "integer",
"uint32": "integer",
"uint64": "integer",
"u": "integer",
"float32": "floating",
"float64": "floating",
"f": "floating",
"complex64": "complex",
"complex128": "complex",
"c": "complex",
"string": "string",
"S": "bytes",
"U": "string",
"bool": "boolean",
"b": "boolean",
"datetime64[ns]": "datetime64",
"M": "datetime64",
"timedelta64[ns]": "timedelta64",
"m": "timedelta64",
"interval": "interval",
}

# types only exist on certain platform
Expand Down Expand Up @@ -1173,12 +1173,13 @@ cdef class Seen:
or self.nat_)


cdef _try_infer_map(v):
cdef object _try_infer_map(object v):
"""
If its in our map, just return the dtype.
"""
cdef:
object attr, val
object val
str attr
for attr in ['name', 'kind', 'base']:
val = getattr(v.dtype, attr)
if val in _TYPE_MAP:
Expand Down