Python numpy.recfromtxt() Examples
The following are 30
code examples of numpy.recfromtxt().
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Example #1
| Source File: test_io.py From keras-lambda with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', np.int), ('B', np.int)])
self.assertTrue(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.int), ('B', np.int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #2
| Source File: test_io.py From vnpy_crypto with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #3
| Source File: data.py From vnpy_crypto with MIT License | 6 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
names = ["NABOVE","NBELOW","LOWINC","PERASIAN","PERBLACK","PERHISP",
"PERMINTE","AVYRSEXP","AVSALK","PERSPENK","PTRATIO","PCTAF",
"PCTCHRT","PCTYRRND","PERMINTE_AVYRSEXP","PERMINTE_AVSAL",
"AVYRSEXP_AVSAL","PERSPEN_PTRATIO","PERSPEN_PCTAF","PTRATIO_PCTAF",
"PERMINTE_AVYRSEXP_AVSAL","PERSPEN_PTRATIO_PCTAF"]
with open(filepath + '/star98.csv',"rb") as f:
data = recfromtxt(f, delimiter=",",
names=names, skip_header=1, dtype=float)
# careful now
nabove = data['NABOVE'].copy()
nbelow = data['NBELOW'].copy()
data['NABOVE'] = nbelow # successes
data['NBELOW'] = nabove - nbelow # now failures
return data
Example #4
| Source File: test_io.py From auto-alt-text-lambda-api with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', np.int), ('B', np.int)])
self.assertTrue(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.int), ('B', np.int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #5
| Source File: test_io.py From lambda-packs with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', np.int), ('B', np.int)])
self.assertTrue(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.int), ('B', np.int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #6
| Source File: test_io.py From Computable with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', np.int), ('B', np.int)])
self.assertTrue(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.int), ('B', np.int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #7
| Source File: test_io.py From Mastering-Elasticsearch-7.0 with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #8
| Source File: test_io.py From GraphicDesignPatternByPython with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #9
| Source File: test_io.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #10
| Source File: test_io.py From pySINDy with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #11
| Source File: _newbpch.py From pseudonetcdf with GNU Lesser General Public License v3.0 | 6 votes |
|
def _getdiaginfo(self, path):
dpath = os.path.join(os.path.dirname(path), 'diaginfo.dat')
if not os.path.exists(dpath):
dpath = 'diaginfo.dat'
self._ddata = np.recfromtxt(dpath, dtype=None, comments='#', names=[
'offset', 'category', 'comment'],
delimiter=[9, 40, 100], autostrip=True)
# OFFSET (I8 ) Constant to add to tracer numbers in order to distinguish
# for the given diagnostic category, as stored in file
# "tracerinfo.dat". OFFSET may be up to 8 digits long.
# -- (1X ) 1-character spacer
# CATEGORY (A40) Category name for CTM diagnostics. NOTE: The category name
# can be up to 40 chars long, but historically the GEOS-CHEM
# and GISS models have used an 8-character category name.
# COMMENT (A ) Descriptive comment string
#
# -- (1X ) 1-character spacer
Example #12
| Source File: _aermod_plotfile.py From pseudonetcdf with GNU Lesser General Public License v3.0 | 6 votes |
|
def __init__(self, path):
# import pdb; pdb.set_trace()
self._data = np.recfromtxt(
path, names=names, delimiter=delimiter, comments='*')
self.createDimension('receptor', self._data.size)
self.createDimension('StrLen', StrLen)
for k, u in zip(names, units):
if k in 'dum1 dum2 dum3'.split():
continue
vals = self._data[k]
dt = vals.dtype.char
dims = ('receptor',)
if dt == 'S':
vals = np.char.ljust(np.char.strip(vals), StrLen).view(
'S1').reshape(-1, StrLen)
dims = ('receptor', 'StrLen')
dt = 'S1'
var = self.createVariable(k, dt, dims)
var.units = u
var[:] = vals
Example #13
| Source File: test_io.py From ImageFusion with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', np.int), ('B', np.int)])
self.assertTrue(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.int), ('B', np.int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #14
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 6 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
names = ["NABOVE","NBELOW","LOWINC","PERASIAN","PERBLACK","PERHISP",
"PERMINTE","AVYRSEXP","AVSALK","PERSPENK","PTRATIO","PCTAF",
"PCTCHRT","PCTYRRND","PERMINTE_AVYRSEXP","PERMINTE_AVSAL",
"AVYRSEXP_AVSAL","PERSPEN_PTRATIO","PERSPEN_PCTAF","PTRATIO_PCTAF",
"PERMINTE_AVYRSEXP_AVSAL","PERSPEN_PTRATIO_PCTAF"]
with open(filepath + '/star98.csv',"rb") as f:
data = recfromtxt(f, delimiter=",",
names=names, skip_header=1, dtype=float)
# careful now
nabove = data['NABOVE'].copy()
nbelow = data['NBELOW'].copy()
data['NABOVE'] = nbelow # successes
data['NBELOW'] = nabove - nbelow # now failures
return data
Example #15
| Source File: test_io.py From elasticintel with GNU General Public License v3.0 | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', np.int), ('B', np.int)])
self.assertTrue(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.int), ('B', np.int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #16
| Source File: test_io.py From recruit with Apache License 2.0 | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #17
| Source File: test_io.py From coffeegrindsize with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #18
| Source File: test_io.py From mxnet-lambda with Apache License 2.0 | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', np.int), ('B', np.int)])
self.assertTrue(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', np.int), ('B', np.int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #19
| Source File: test_io.py From twitter-stock-recommendation with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #20
| Source File: test_io.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 6 votes |
|
def test_recfromtxt(self):
#
data = TextIO('A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(data, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
#
data = TextIO('A,B\n0,1\n2,N/A')
test = np.recfromtxt(data, dtype=None, usemask=True, **kwargs)
control = ma.array([(0, 1), (2, -1)],
mask=[(False, False), (False, True)],
dtype=[('A', int), ('B', int)])
assert_equal(test, control)
assert_equal(test.mask, control.mask)
assert_equal(test.A, [0, 2])
Example #21
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
with open(filepath + "/ccard.csv", 'rb') as f:
data = recfromtxt(f, delimiter=",", names=True, dtype=float)
return data
Example #22
| Source File: test_io.py From vnpy_crypto with MIT License | 5 votes |
|
def test_recfromtxt(self):
with temppath(suffix='.txt') as path:
path = Path(path)
with path.open('w') as f:
f.write(u'A,B\n0,1\n2,3')
kwargs = dict(delimiter=",", missing_values="N/A", names=True)
test = np.recfromtxt(path, **kwargs)
control = np.array([(0, 1), (2, 3)],
dtype=[('A', int), ('B', int)])
assert_(isinstance(test, np.recarray))
assert_equal(test, control)
Example #23
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
with open(filepath + '/nile.csv', 'rb') as f:
data = recfromtxt(f, delimiter=",",
names=True, dtype=float)
return data
Example #24
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
with open(filepath + '/anes96.csv', "rb") as f:
data = recfromtxt(f, delimiter="\t", names=True, dtype=float)
logpopul = log(data['popul'] + .1)
data = nprf.append_fields(data, 'logpopul', logpopul, usemask=False,
asrecarray=True)
return data
Example #25
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
with open(filepath + '/engel.csv', 'rb') as f:
data = np.recfromtxt(f,
delimiter=",", names = True, dtype=float)
return data
Example #26
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
with open(filepath + '/sunspots.csv', 'rb') as f:
data = recfromtxt(f, delimiter=",",
names=True, dtype=float)
return data
Example #27
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
with open(filepath + '/stackloss.csv',"rb") as f:
data = recfromtxt(f, delimiter=",",
names=True, dtype=float)
return data
Example #28
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
with open(filepath + '/fair.csv', 'rb') as f:
data = np.recfromtxt(f, delimiter=",", names=True, dtype=float)
return data
Example #29
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_data():
filepath = dirname(abspath(__file__))
with open(filepath + '/macrodata.csv', 'rb') as f:
data = recfromtxt(f, delimiter=",",
names=True, dtype=float)
return data
Example #30
| Source File: data.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
|
def _get_data():
with open(PATH, "rb") as f:
data = recfromtxt(f, delimiter=",", names=True, dtype=float)
return data
