Skip to content

CLN: Remove unused cimports of float16 #18387

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Nov 22, 2017
Merged

CLN: Remove unused cimports of float16 #18387

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
5a03473
remove unused cimport
jbrockmendel Nov 20, 2017
c1b20a1
Merge branch 'master' of https://github.com/pandas-dev/pandas into fl…
jbrockmendel Nov 20, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion pandas/_libs/algos.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ from numpy cimport (ndarray,
NPY_FLOAT32, NPY_FLOAT64,
NPY_OBJECT,
int8_t, int16_t, int32_t, int64_t, uint8_t, uint16_t,
uint32_t, uint64_t, float16_t, float32_t, float64_t,
uint32_t, uint64_t, float32_t, float64_t,
double_t)


Expand Down
2 changes: 1 addition & 1 deletion pandas/_libs/groupby.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ cnp.import_array()
from numpy cimport (ndarray,
double_t,
int8_t, int16_t, int32_t, int64_t, uint8_t, uint16_t,
uint32_t, uint64_t, float16_t, float32_t, float64_t)
uint32_t, uint64_t, float32_t, float64_t)

from libc.stdlib cimport malloc, free

Expand Down
2 changes: 1 addition & 1 deletion pandas/_libs/join.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ np.import_array()

from numpy cimport (ndarray,
int8_t, int16_t, int32_t, int64_t, uint8_t, uint16_t,
uint32_t, uint64_t, float16_t, float32_t, float64_t)
uint32_t, uint64_t, float32_t, float64_t)

cdef double NaN = <double> np.NaN
cdef double nan = NaN
Expand Down
2 changes: 1 addition & 1 deletion pandas/_libs/reshape.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ np.import_array()

from numpy cimport (ndarray,
int8_t, int16_t, int32_t, int64_t, uint8_t, uint16_t,
uint32_t, uint64_t, float16_t, float32_t, float64_t)
uint32_t, uint64_t, float32_t, float64_t)

cdef double NaN = <double> np.NaN
cdef double nan = NaN
Expand Down
2 changes: 1 addition & 1 deletion pandas/_libs/sparse.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
from numpy cimport (ndarray, uint8_t, int64_t, int32_t, int16_t, int8_t,
float64_t, float32_t, float16_t)
float64_t, float32_t)
cimport numpy as np

cimport cython
Expand Down