Python numpy.fromregex() Examples
The following are 30
code examples of numpy.fromregex().
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Example #1
| Source File: readers.py From visualqc with Apache License 2.0 | 6 votes |
|
def read_global_mean_surf_area_thickness(stats_file):
"""Returns total surface area of white surface, global mean cortical thickness"""
# Snippet from the relevant part of aparc.stats
# Measure Cortex, NumVert, Number of Vertices, 120233, unitless
# Measure Cortex, WhiteSurfArea, White Surface Total Area, 85633.5, mm^2
# Measure Cortex, MeanThickness, Mean Thickness, 2.59632, mm
wb_regex_pattern = r'# Measure Cortex, ([\w/+_\- ]+), ([\w/+_\- ]+), ([\d\.]+),' \
r' ([\w/+_\-^]+)'
wb_aparc_dtype = np.dtype('U100,U100,f8,U10')
# wb_aparc_dtype = [('f0', '<U100'), ('f1', '<U100'), ('f2', '<f8'), ('f3', '<U10')]
wb_stats = np.fromregex(stats_file, wb_regex_pattern, dtype=wb_aparc_dtype)
# concatenating while surf total area and global mean thickness
stats = [wb_stats[1][2], wb_stats[2][2]]
return stats
Example #2
| Source File: test_io.py From vnpy_crypto with MIT License | 6 votes |
|
def test_record_unicode(self):
utf8 = b'\xcf\x96'
with temppath() as path:
with open(path, 'wb') as f:
f.write(b'1.312 foo' + utf8 + b' \n1.534 bar\n4.444 qux')
dt = [('num', np.float64), ('val', 'U4')]
x = np.fromregex(path, r"(?u)([0-9.]+)\s+(\w+)", dt, encoding='UTF-8')
a = np.array([(1.312, 'foo' + utf8.decode('UTF-8')), (1.534, 'bar'),
(4.444, 'qux')], dtype=dt)
assert_array_equal(x, a)
regexp = re.compile(r"([0-9.]+)\s+(\w+)", re.UNICODE)
x = np.fromregex(path, regexp, dt, encoding='UTF-8')
assert_array_equal(x, a)
#####--------------------------------------------------------------------------
Example #3
| Source File: test_io.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_record_2(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.int32), ('val', 'S3')]
x = np.fromregex(c, r"(\d+)\s+(...)", dt)
a = np.array([(1312, 'foo'), (1534, 'bar'), (4444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #4
| Source File: test_io.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
|
def test_record(self):
c = TextIO()
c.write('1.312 foo\n1.534 bar\n4.444 qux')
c.seek(0)
dt = [('num', np.float64), ('val', 'S3')]
x = np.fromregex(c, r"([0-9.]+)\s+(...)", dt)
a = np.array([(1.312, 'foo'), (1.534, 'bar'), (4.444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #5
| Source File: test_io.py From coffeegrindsize with MIT License | 5 votes |
|
def test_compiled_bytes(self):
regexp = re.compile(b'(\\d)')
c = BytesIO(b'123')
dt = [('num', np.float64)]
a = np.array([1, 2, 3], dtype=dt)
x = np.fromregex(c, regexp, dt)
assert_array_equal(x, a)
#####--------------------------------------------------------------------------
Example #6
| Source File: test_io.py From coffeegrindsize with MIT License | 5 votes |
|
def test_record_unicode(self):
utf8 = b'\xcf\x96'
with temppath() as path:
with open(path, 'wb') as f:
f.write(b'1.312 foo' + utf8 + b' \n1.534 bar\n4.444 qux')
dt = [('num', np.float64), ('val', 'U4')]
x = np.fromregex(path, r"(?u)([0-9.]+)\s+(\w+)", dt, encoding='UTF-8')
a = np.array([(1.312, 'foo' + utf8.decode('UTF-8')), (1.534, 'bar'),
(4.444, 'qux')], dtype=dt)
assert_array_equal(x, a)
regexp = re.compile(r"([0-9.]+)\s+(\w+)", re.UNICODE)
x = np.fromregex(path, regexp, dt, encoding='UTF-8')
assert_array_equal(x, a)
Example #7
| Source File: test_io.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_record(self):
c = TextIO()
c.write('1.312 foo\n1.534 bar\n4.444 qux')
c.seek(0)
dt = [('num', np.float64), ('val', 'S3')]
x = np.fromregex(c, r"([0-9.]+)\s+(...)", dt)
a = np.array([(1.312, 'foo'), (1.534, 'bar'), (4.444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #8
| Source File: test_io.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_record_2(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.int32), ('val', 'S3')]
x = np.fromregex(c, r"(\d+)\s+(...)", dt)
a = np.array([(1312, 'foo'), (1534, 'bar'), (4444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #9
| Source File: test_io.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_record_3(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.float64)]
x = np.fromregex(c, r"(\d+)\s+...", dt)
a = np.array([(1312,), (1534,), (4444,)], dtype=dt)
assert_array_equal(x, a)
Example #10
| Source File: test_io.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_record_unicode(self):
utf8 = b'\xcf\x96'
with temppath() as path:
with open(path, 'wb') as f:
f.write(b'1.312 foo' + utf8 + b' \n1.534 bar\n4.444 qux')
dt = [('num', np.float64), ('val', 'U4')]
x = np.fromregex(path, r"(?u)([0-9.]+)\s+(\w+)", dt, encoding='UTF-8')
a = np.array([(1.312, 'foo' + utf8.decode('UTF-8')), (1.534, 'bar'),
(4.444, 'qux')], dtype=dt)
assert_array_equal(x, a)
regexp = re.compile(r"([0-9.]+)\s+(\w+)", re.UNICODE)
x = np.fromregex(path, regexp, dt, encoding='UTF-8')
assert_array_equal(x, a)
Example #11
| Source File: test_io.py From twitter-stock-recommendation with MIT License | 5 votes |
|
def test_compiled_bytes(self):
regexp = re.compile(b'(\\d)')
c = BytesIO(b'123')
dt = [('num', np.float64)]
a = np.array([1, 2, 3], dtype=dt)
x = np.fromregex(c, regexp, dt)
assert_array_equal(x, a)
#####--------------------------------------------------------------------------
Example #12
| Source File: test_io.py From keras-lambda with MIT License | 5 votes |
|
def test_record(self):
c = TextIO()
c.write('1.312 foo\n1.534 bar\n4.444 qux')
c.seek(0)
dt = [('num', np.float64), ('val', 'S3')]
x = np.fromregex(c, r"([0-9.]+)\s+(...)", dt)
a = np.array([(1.312, 'foo'), (1.534, 'bar'), (4.444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #13
| Source File: test_io.py From keras-lambda with MIT License | 5 votes |
|
def test_record_2(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.int32), ('val', 'S3')]
x = np.fromregex(c, r"(\d+)\s+(...)", dt)
a = np.array([(1312, 'foo'), (1534, 'bar'), (4444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #14
| Source File: test_io.py From keras-lambda with MIT License | 5 votes |
|
def test_record_3(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.float64)]
x = np.fromregex(c, r"(\d+)\s+...", dt)
a = np.array([(1312,), (1534,), (4444,)], dtype=dt)
assert_array_equal(x, a)
#####--------------------------------------------------------------------------
Example #15
| Source File: test_io.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 5 votes |
|
def test_compiled_bytes(self):
regexp = re.compile(b'(\\d)')
c = BytesIO(b'123')
dt = [('num', np.float64)]
a = np.array([1, 2, 3], dtype=dt)
x = np.fromregex(c, regexp, dt)
assert_array_equal(x, a)
#####--------------------------------------------------------------------------
Example #16
| Source File: test_io.py From coffeegrindsize with MIT License | 5 votes |
|
def test_record(self):
c = TextIO()
c.write('1.312 foo\n1.534 bar\n4.444 qux')
c.seek(0)
dt = [('num', np.float64), ('val', 'S3')]
x = np.fromregex(c, r"([0-9.]+)\s+(...)", dt)
a = np.array([(1.312, 'foo'), (1.534, 'bar'), (4.444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #17
| Source File: test_io.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_record_3(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.float64)]
x = np.fromregex(c, r"(\d+)\s+...", dt)
a = np.array([(1312,), (1534,), (4444,)], dtype=dt)
assert_array_equal(x, a)
#####--------------------------------------------------------------------------
Example #18
| Source File: test_io.py From coffeegrindsize with MIT License | 5 votes |
|
def test_record_3(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.float64)]
x = np.fromregex(c, r"(\d+)\s+...", dt)
a = np.array([(1312,), (1534,), (4444,)], dtype=dt)
assert_array_equal(x, a)
Example #19
| Source File: test_io.py From elasticintel with GNU General Public License v3.0 | 5 votes |
|
def test_record(self):
c = TextIO()
c.write('1.312 foo\n1.534 bar\n4.444 qux')
c.seek(0)
dt = [('num', np.float64), ('val', 'S3')]
x = np.fromregex(c, r"([0-9.]+)\s+(...)", dt)
a = np.array([(1.312, 'foo'), (1.534, 'bar'), (4.444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #20
| Source File: wavefront_obj.py From cmm with GNU General Public License v2.0 | 5 votes |
|
def loadobj(filename, load_normals=False):
""" load a wavefront obj file
loads vertices into a (x,y,z) struct array and vertex indices
into a n x 3 index array
only loads obj files vertex positions and also
only works with triangle meshes """
vertices = np.fromregex(open(filename), _vertex_regex, np.float)
if load_normals:
normals = np.fromregex(open(filename), _normal_regex, np.float)
triangles = np.fromregex(open(filename), _triangle_regex, np.int) - 1 # 1-based indexing in obj file format!
if load_normals:
return vertices, normals, triangles
else:
return vertices, triangles
Example #21
| Source File: readers.py From visualqc with Apache License 2.0 | 5 votes |
|
def read_volumes_global_areas(seg_stats_file):
"""Returns the volumes of big global areas such as the ICV,
Left/Right hemisphere cortical gray/white matter volume,
Subcortical gray matter volume and Supratentorial volume etc.
Order of the return values is the same as it appears
in the original aseg.stats file (not as mentioned above).
"""
# Snippet from the relevant part of the aseg.stats
# Measure lhCortex, lhCortexVol, Left hemisphere cortical gray matter volume, 234615.987869, mm^3
# Measure rhCortex, rhCortexVol, Right hemisphere cortical gray matter volume, 260948.684264, mm^3
# Measure Cortex, CortexVol, Total cortical gray matter volume, 495564.672133, mm^3
# Measure lhCorticalWhiteMatter, lhCorticalWhiteMatterVol, Left hemisphere cortical white matter volume, 222201.531250, mm^3
# Measure rhCorticalWhiteMatter, rhCorticalWhiteMatterVol, Right hemisphere cortical white matter volume, 232088.671875, mm^3
# Measure CorticalWhiteMatter, CorticalWhiteMatterVol, Total cortical white matter volume, 454290.203125, mm^3
# Measure SubCortGray, SubCortGrayVol, Subcortical gray matter volume, 188561.000000, mm^3
# Measure TotalGray, TotalGrayVol, Total gray matter volume, 684125.672133, mm^3
# Measure SupraTentorial, SupraTentorialVol, Supratentorial volume, 1046623.140109, mm^3
# Measure IntraCranialVol, ICV, Intracranial Volume, 1137205.249190, mm^3
wb_regex_pattern = r'# Measure ([\w/+_\- ]+), ([\w/+_\- ]+), ([\w/+_\- ]+), ' \
r'([\d\.]+), ([\w/+_\-^]+)'
datatypes = np.dtype('U100,U100,U100,f8,U10')
stats = np.fromregex(seg_stats_file, wb_regex_pattern, dtype=datatypes)
wb_data = np.array([seg[3] for seg in stats])
return wb_data.flatten()
Example #22
| Source File: test_io.py From ImageFusion with MIT License | 5 votes |
|
def test_record_3(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.float64)]
x = np.fromregex(c, r"(\d+)\s+...", dt)
a = np.array([(1312,), (1534,), (4444,)], dtype=dt)
assert_array_equal(x, a)
#####--------------------------------------------------------------------------
Example #23
| Source File: test_io.py From ImageFusion with MIT License | 5 votes |
|
def test_record_2(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.int32), ('val', 'S3')]
x = np.fromregex(c, r"(\d+)\s+(...)", dt)
a = np.array([(1312, 'foo'), (1534, 'bar'), (4444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #24
| Source File: test_io.py From ImageFusion with MIT License | 5 votes |
|
def test_record(self):
c = TextIO()
c.write('1.312 foo\n1.534 bar\n4.444 qux')
c.seek(0)
dt = [('num', np.float64), ('val', 'S3')]
x = np.fromregex(c, r"([0-9.]+)\s+(...)", dt)
a = np.array([(1.312, 'foo'), (1.534, 'bar'), (4.444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #25
| Source File: test_io.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def test_record_3(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.float64)]
x = np.fromregex(c, r"(\d+)\s+...", dt)
a = np.array([(1312,), (1534,), (4444,)], dtype=dt)
assert_array_equal(x, a)
#####--------------------------------------------------------------------------
Example #26
| Source File: test_io.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def test_record_2(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.int32), ('val', 'S3')]
x = np.fromregex(c, r"(\d+)\s+(...)", dt)
a = np.array([(1312, 'foo'), (1534, 'bar'), (4444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #27
| Source File: test_io.py From mxnet-lambda with Apache License 2.0 | 5 votes |
|
def test_record(self):
c = TextIO()
c.write('1.312 foo\n1.534 bar\n4.444 qux')
c.seek(0)
dt = [('num', np.float64), ('val', 'S3')]
x = np.fromregex(c, r"([0-9.]+)\s+(...)", dt)
a = np.array([(1.312, 'foo'), (1.534, 'bar'), (4.444, 'qux')],
dtype=dt)
assert_array_equal(x, a)
Example #28
| Source File: test_io.py From pySINDy with MIT License | 5 votes |
|
def test_compiled_bytes(self):
regexp = re.compile(b'(\\d)')
c = BytesIO(b'123')
dt = [('num', np.float64)]
a = np.array([1, 2, 3], dtype=dt)
x = np.fromregex(c, regexp, dt)
assert_array_equal(x, a)
#####--------------------------------------------------------------------------
Example #29
| Source File: test_io.py From pySINDy with MIT License | 5 votes |
|
def test_record_unicode(self):
utf8 = b'\xcf\x96'
with temppath() as path:
with open(path, 'wb') as f:
f.write(b'1.312 foo' + utf8 + b' \n1.534 bar\n4.444 qux')
dt = [('num', np.float64), ('val', 'U4')]
x = np.fromregex(path, r"(?u)([0-9.]+)\s+(\w+)", dt, encoding='UTF-8')
a = np.array([(1.312, 'foo' + utf8.decode('UTF-8')), (1.534, 'bar'),
(4.444, 'qux')], dtype=dt)
assert_array_equal(x, a)
regexp = re.compile(r"([0-9.]+)\s+(\w+)", re.UNICODE)
x = np.fromregex(path, regexp, dt, encoding='UTF-8')
assert_array_equal(x, a)
Example #30
| Source File: test_io.py From pySINDy with MIT License | 5 votes |
|
def test_record_3(self):
c = TextIO()
c.write('1312 foo\n1534 bar\n4444 qux')
c.seek(0)
dt = [('num', np.float64)]
x = np.fromregex(c, r"(\d+)\s+...", dt)
a = np.array([(1312,), (1534,), (4444,)], dtype=dt)
assert_array_equal(x, a)
