python-Numpy学习之(一)ndim、shape、dtype、astype的用法

本文介绍了Numpy中ndim、shape、dtype和astype的概念及用法。ndim返回数组维度,shape表示各维度大小的元组,dtype表示数组的数据类型,astype用于转换数组的数据类型。例如,int32可以转换为float64,反之会截断小数部分。

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python-Numpy学习之(一)ndim、shape、dtype、astype的用法

参考网址:https://blog.youkuaiyun.com/Da_wan/article/details/80518725

本文介绍numpy数组中这四个方法的区别ndim、shape、dtype、astype。

1.ndim

ndim返回的是数组的维度,返回的只有一个数,该数即表示数组的维度。

2.shape

shape:表示各位维度大小的元组。返回的是一个元组。

对于一维数组:有疑问的是为什么不是(1,6),因为arr1.ndim维度为1,元组内只返回一个数。

对于二维数组:前面的是行,后面的是列,他的ndim为2,所以返回两个数。

对于三维数组:很难看出,下面打印arr3,看下它是什么结构。

先看最外面的中括号,包含[[1,2,3],[4,5,6]]和[[7,8,9],[10,11,12]],假设他们为数组A、B,就得到[A,B],如果A、B仅仅是一个数字,他的ndim就是2,这就是第一个数。但是A、B是(2,3)的数组。所以结合起来,这就是arr3的shape,为(2,2,3)。

将这种方法类比,也就可以推出4维、5维数组的shape。

3.dtype

dtype:一个用于说明数组数据类型的对象。返回的是该数组的数据类型。由于图中的数据都为整形,所以返回的都是int32。如果数组中有数据带有小数点,那么就会返回float64。

有疑问的是:整形数据不应该是int吗?浮点型数据不应该是float吗?

解答:int32、float64是Numpy库自己的一套数据类型。

4.astype

astype:转换数组的数据类型。

int32 --> float64        完全ojbk

float64 --> int32        会将小数部分截断

string_ --> float64        如果字符串数组表示的全是数字,也可以用astype转化为数值类型

注意其中的float,它是python内置的类型,但是Numpy可以使用。Numpy会将Python类型映射到等价的dtype上。

 

以上是这四个方法的简单用法,之后若有什么新发现再做补充。

Building wheel for pycocotools (pyproject.toml) ... error error: subprocess-exited-with-error × Building wheel for pycocotools (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [520 lines of output] running bdist_wheel running build running build_py creating build/lib.linux-x86_64-cpython-38/pycocotools copying pycocotools/__init__.py -> build/lib.linux-x86_64-cpython-38/pycocotools copying pycocotools/coco.py -> build/lib.linux-x86_64-cpython-38/pycocotools copying pycocotools/mask.py -> build/lib.linux-x86_64-cpython-38/pycocotools copying pycocotools/cocoeval.py -> build/lib.linux-x86_64-cpython-38/pycocotools running build_ext Error compiling Cython file: ------------------------------------------------------------ ... np.import_array() # import numpy C function # we use PyArray_ENABLEFLAGS to make Numpy ndarray responsible to memoery management cdef extern from "numpy/arrayobject.h": void PyArray_ENABLEFLAGS(np.ndarray arr, int flags) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:27:29: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... rleFrString( <RLE*> &Rs._R[i], <char*> c_string, obj['size'][0], obj['size'][1] ) return Rs # encode mask to RLEs objects # list of RLE string can be generated by RLEs member function def encode(np.ndarray[np.uint8_t, ndim=3, mode='fortran'] mask): ^ ------------------------------------------------------------ pycocotools/_mask.pyx:136:11: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... bb = np.array((1,4*n), dtype=np.double) bb = np.PyArray_SimpleNewFromData(1, shape, np.NPY_DOUBLE, _bb).reshape((n, 4)) PyArray_ENABLEFLAGS(bb, np.NPY_OWNDATA) return bb def frBbox(np.ndarray[np.double_t, ndim=2] bb, siz h, siz w ): ^ ------------------------------------------------------------ pycocotools/_mask.pyx:254:11: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... # the memory management of _mask has been passed to np.ndarray # it doesn't need to be freed here # called when passing into np.array() and return an np.ndarray in column-major order def __array__(self): cdef np.npy_intp shape[1] ^ ------------------------------------------------------------ pycocotools/_mask.pyx:93:13: 'npy_intp' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... def area(rleObjs): cdef RLEs Rs = _frString(rleObjs) cdef uint* _a = <uint*> malloc(Rs._n* sizeof(uint)) rleArea(Rs._R, Rs._n, _a) cdef np.npy_intp shape[1] ^ ------------------------------------------------------------ pycocotools/_mask.pyx:163:9: 'npy_intp' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... else: raise Exception('list input can be bounding box (Nx4) or RLEs ([RLE])') else: raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): ^ ------------------------------------------------------------ pycocotools/_mask.pyx:197:34: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... else: raise Exception('list input can be bounding box (Nx4) or RLEs ([RLE])') else: raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): ^ ------------------------------------------------------------ pycocotools/_mask.pyx:197:88: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... else: raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): rleIou( <RLE*> dt._R, <RLE*> gt._R, m, n, <byte*> iscrowd.data, <double*> _iou.data ) def _bbIou(np.ndarray[np.double_t, ndim=2] dt, np.ndarray[np.double_t, ndim=2] gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): ^ ------------------------------------------------------------ pycocotools/_mask.pyx:199:15: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... else: raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): rleIou( <RLE*> dt._R, <RLE*> gt._R, m, n, <byte*> iscrowd.data, <double*> _iou.data ) def _bbIou(np.ndarray[np.double_t, ndim=2] dt, np.ndarray[np.double_t, ndim=2] gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): ^ ------------------------------------------------------------ pycocotools/_mask.pyx:199:51: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... else: raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): rleIou( <RLE*> dt._R, <RLE*> gt._R, m, n, <byte*> iscrowd.data, <double*> _iou.data ) def _bbIou(np.ndarray[np.double_t, ndim=2] dt, np.ndarray[np.double_t, ndim=2] gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): ^ ------------------------------------------------------------ pycocotools/_mask.pyx:199:87: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... else: raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): rleIou( <RLE*> dt._R, <RLE*> gt._R, m, n, <byte*> iscrowd.data, <double*> _iou.data ) def _bbIou(np.ndarray[np.double_t, ndim=2] dt, np.ndarray[np.double_t, ndim=2] gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): ^ ------------------------------------------------------------ pycocotools/_mask.pyx:199:141: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... pass elif type(obj) == np.ndarray: N = obj.shape[0] return N # convert iscrowd to numpy array cdef np.ndarray[np.uint8_t, ndim=1] iscrowd = np.array(pyiscrowd, dtype=np.uint8) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:211:9: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... pass elif type(obj) == np.ndarray: N = obj.shape[0] return N # convert iscrowd to numpy array cdef np.ndarray[np.uint8_t, ndim=1] iscrowd = np.array(pyiscrowd, dtype=np.uint8) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:211:9: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... if not type(dt) == type(gt): raise Exception('The dt and gt should have the same data type, either RLEs, list or np.ndarray') # define local variables cdef double* _iou = <double*> 0 cdef np.npy_intp shape[1] ^ ------------------------------------------------------------ pycocotools/_mask.pyx:226:9: 'npy_intp' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... def toBbox( rleObjs ): cdef RLEs Rs = _frString(rleObjs) cdef siz n = Rs.n cdef BB _bb = <BB> malloc(4*n* sizeof(double)) rleToBbox( <const RLE*> Rs._R, _bb, n ) cdef np.npy_intp shape[1] ^ ------------------------------------------------------------ pycocotools/_mask.pyx:247:9: 'npy_intp' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... rleFrBbox( <RLE*> Rs._R, <const BB> bb.data, h, w, n ) objs = _toString(Rs) return objs def frPoly( poly, siz h, siz w ): cdef np.ndarray[np.double_t, ndim=1] np_poly ^ ------------------------------------------------------------ pycocotools/_mask.pyx:262:9: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... rleFrBbox( <RLE*> Rs._R, <const BB> bb.data, h, w, n ) objs = _toString(Rs) return objs def frPoly( poly, siz h, siz w ): cdef np.ndarray[np.double_t, ndim=1] np_poly ^ ------------------------------------------------------------ pycocotools/_mask.pyx:262:9: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... rleFrPoly( <RLE*>&Rs._R[i], <const double*> np_poly.data, int(len(p)/2), h, w ) objs = _toString(Rs) return objs def frUncompressedRLE(ucRles, siz h, siz w): cdef np.ndarray[np.uint32_t, ndim=1] cnts ^ ------------------------------------------------------------ pycocotools/_mask.pyx:272:9: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... rleFrPoly( <RLE*>&Rs._R[i], <const double*> np_poly.data, int(len(p)/2), h, w ) objs = _toString(Rs) return objs def frUncompressedRLE(ucRles, siz h, siz w): cdef np.ndarray[np.uint32_t, ndim=1] cnts ^ ------------------------------------------------------------ pycocotools/_mask.pyx:272:9: 'ndarray' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... # it doesn't need to be freed here # called when passing into np.array() and return an np.ndarray in column-major order def __array__(self): cdef np.npy_intp shape[1] shape[0] = <np.npy_intp> self._h*self._w*self._n ^ ------------------------------------------------------------ pycocotools/_mask.pyx:94:20: 'npy_intp' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... def area(rleObjs): cdef RLEs Rs = _frString(rleObjs) cdef uint* _a = <uint*> malloc(Rs._n* sizeof(uint)) rleArea(Rs._R, Rs._n, _a) cdef np.npy_intp shape[1] shape[0] = <np.npy_intp> Rs._n ^ ------------------------------------------------------------ pycocotools/_mask.pyx:164:16: 'npy_intp' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... cdef uint* _a = <uint*> malloc(Rs._n* sizeof(uint)) rleArea(Rs._R, Rs._n, _a) cdef np.npy_intp shape[1] shape[0] = <np.npy_intp> Rs._n a = np.array((Rs._n, ), dtype=np.uint8) a = np.PyArray_SimpleNewFromData(1, shape, np.NPY_UINT32, _a) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:166:62: Cannot convert 'uint *' to Python object Error compiling Cython file: ------------------------------------------------------------ ... _iouFun = _bbIou else: raise Exception('input data type not allowed.') _iou = <double*> malloc(m*n* sizeof(double)) iou = np.zeros((m*n, ), dtype=np.double) shape[0] = <np.npy_intp> m*n ^ ------------------------------------------------------------ pycocotools/_mask.pyx:236:16: 'npy_intp' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... else: raise Exception('input data type not allowed.') _iou = <double*> malloc(m*n* sizeof(double)) iou = np.zeros((m*n, ), dtype=np.double) shape[0] = <np.npy_intp> m*n iou = np.PyArray_SimpleNewFromData(1, shape, np.NPY_DOUBLE, _iou) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:237:64: Cannot convert 'double *' to Python object Error compiling Cython file: ------------------------------------------------------------ ... raise Exception('list input can be bounding box (Nx4) or RLEs ([RLE])') else: raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): rleIou( <RLE*> dt._R, <RLE*> gt._R, m, n, <byte*> iscrowd.data, <double*> _iou.data ) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:198:72: Python objects cannot be cast to pointers of primitive types Error compiling Cython file: ------------------------------------------------------------ ... raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): rleIou( <RLE*> dt._R, <RLE*> gt._R, m, n, <byte*> iscrowd.data, <double*> _iou.data ) def _bbIou(np.ndarray[np.double_t, ndim=2] dt, np.ndarray[np.double_t, ndim=2] gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): bbIou( <BB> dt.data, <BB> gt.data, m, n, <byte*> iscrowd.data, <double*>_iou.data ) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:200:15: Python objects cannot be cast to pointers of primitive types Error compiling Cython file: ------------------------------------------------------------ ... raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): rleIou( <RLE*> dt._R, <RLE*> gt._R, m, n, <byte*> iscrowd.data, <double*> _iou.data ) def _bbIou(np.ndarray[np.double_t, ndim=2] dt, np.ndarray[np.double_t, ndim=2] gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): bbIou( <BB> dt.data, <BB> gt.data, m, n, <byte*> iscrowd.data, <double*>_iou.data ) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:200:29: Python objects cannot be cast to pointers of primitive types Error compiling Cython file: ------------------------------------------------------------ ... raise Exception('unrecognized type. The following type: RLEs (rle), np.ndarray (box), and list (box) are supported.') return objs def _rleIou(RLEs dt, RLEs gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): rleIou( <RLE*> dt._R, <RLE*> gt._R, m, n, <byte*> iscrowd.data, <double*> _iou.data ) def _bbIou(np.ndarray[np.double_t, ndim=2] dt, np.ndarray[np.double_t, ndim=2] gt, np.ndarray[np.uint8_t, ndim=1] iscrowd, siz m, siz n, np.ndarray[np.double_t, ndim=1] _iou): bbIou( <BB> dt.data, <BB> gt.data, m, n, <byte*> iscrowd.data, <double*>_iou.data ) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:200:71: Python objects cannot be cast to pointers of primitive types Error compiling Cython file: ------------------------------------------------------------ ... cdef RLEs Rs = _frString(rleObjs) cdef siz n = Rs.n cdef BB _bb = <BB> malloc(4*n* sizeof(double)) rleToBbox( <const RLE*> Rs._R, _bb, n ) cdef np.npy_intp shape[1] shape[0] = <np.npy_intp> 4*n ^ ------------------------------------------------------------ pycocotools/_mask.pyx:248:16: 'npy_intp' is not a type identifier Error compiling Cython file: ------------------------------------------------------------ ... cdef BB _bb = <BB> malloc(4*n* sizeof(double)) rleToBbox( <const RLE*> Rs._R, _bb, n ) cdef np.npy_intp shape[1] shape[0] = <np.npy_intp> 4*n bb = np.array((1,4*n), dtype=np.double) bb = np.PyArray_SimpleNewFromData(1, shape, np.NPY_DOUBLE, _bb).reshape((n, 4)) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:250:63: Cannot convert 'BB' to Python object Error compiling Cython file: ------------------------------------------------------------ ... return bb def frBbox(np.ndarray[np.double_t, ndim=2] bb, siz h, siz w ): cdef siz n = bb.shape[0] Rs = RLEs(n) rleFrBbox( <RLE*> Rs._R, <const BB> bb.data, h, w, n ) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:257:29: Python objects cannot be cast to pointers of primitive types Error compiling Cython file: ------------------------------------------------------------ ... cdef np.ndarray[np.double_t, ndim=1] np_poly n = len(poly) Rs = RLEs(n) for i, p in enumerate(poly): np_poly = np.array(p, dtype=np.double, order='F') rleFrPoly( <RLE*>&Rs._R[i], <const double*> np_poly.data, int(len(p)/2), h, w ) ^ ------------------------------------------------------------ pycocotools/_mask.pyx:267:36: Python objects cannot be cast to pointers of primitive types Compiling pycocotools/_mask.pyx because it changed. [1/1] Cythonizing pycocotools/_mask.pyx Traceback (most recent call last): File "/home/yll/anaconda3/envs/car/lib/python3.8/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in <module> main() File "/home/yll/anaconda3/envs/car/lib/python3.8/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main json_out['return_val'] = hook(**hook_input['kwargs']) File "/home/yll/anaconda3/envs/car/lib/python3.8/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 251, in build_wheel return _build_backend().build_wheel(wheel_directory, config_settings, File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 437, in build_wheel return _build(['bdist_wheel', '--dist-info-dir', str(metadata_directory)]) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 425, in _build return self._build_with_temp_dir( File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 406, in _build_with_temp_dir self.run_setup() File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/build_meta.py", line 319, in run_setup exec(code, locals()) File "<string>", line 19, in <module> File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/__init__.py", line 117, in setup return distutils.core.setup(**attrs) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/core.py", line 183, in setup return run_commands(dist) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/core.py", line 199, in run_commands dist.run_commands() File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 954, in run_commands self.run_command(cmd) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/dist.py", line 999, in run_command super().run_command(command) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 973, in run_command cmd_obj.run() File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/command/bdist_wheel.py", line 400, in run self.run_command("build") File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/cmd.py", line 316, in run_command self.distribution.run_command(command) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/dist.py", line 999, in run_command super().run_command(command) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 973, in run_command cmd_obj.run() File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/command/build.py", line 135, in run self.run_command(cmd_name) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/cmd.py", line 316, in run_command self.distribution.run_command(command) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/dist.py", line 999, in run_command super().run_command(command) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/dist.py", line 973, in run_command cmd_obj.run() File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/command/build_ext.py", line 98, in run _build_ext.run(self) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 359, in run self.build_extensions() File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 476, in build_extensions self._build_extensions_serial() File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/_distutils/command/build_ext.py", line 502, in _build_extensions_serial self.build_extension(ext) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/setuptools/command/build_ext.py", line 263, in build_extension _build_ext.build_extension(self, ext) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/Cython/Distutils/build_ext.py", line 131, in build_extension new_ext = cythonize( File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/Cython/Build/Dependencies.py", line 1154, in cythonize cythonize_one(*args) File "/tmp/pip-build-env-t573kn7i/overlay/lib/python3.8/site-packages/Cython/Build/Dependencies.py", line 1298, in cythonize_one raise CompileError(None, pyx_file) Cython.Compiler.Errors.CompileError: pycocotools/_mask.pyx [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for pycocotools Successfully built easydict pathos Failed to build pycocotools ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (pycocotools)
最新发布
07-06
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