本文整理匯總了Python中numpy.recfromtxt方法的典型用法代碼示例。如果您正苦於以下問題：Python numpy.recfromtxt方法的具體用法？Python numpy.recfromtxt怎麽用？Python numpy.recfromtxt使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy的用法示例。
在下文中一共展示了numpy.recfromtxt方法的12個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_recfromtxt
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
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]) 示例2: test_recfromtxt
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
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]) 示例3: _get_data
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
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 示例4: _getdiaginfo
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
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 示例5: __init__
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
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 示例6: _get_data
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
def _get_data():
filepath = dirname(abspath(__file__))
##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
with open(filepath + '/heart.csv', 'rb') as f:
data = np.recfromtxt(f, delimiter=",", names = True, dtype=float)
return data 示例7: _get_data
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
def _get_data():
filepath = dirname(abspath(__file__))
with open(filepath + '/co2.csv', 'rb') as f:
data = np.recfromtxt(f, delimiter=",", names=True, dtype=['a8', float])
return data 示例8: _get_data
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
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 示例9: _get_data
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
def _get_data():
filepath = dirname(abspath(__file__))
##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
with open(filepath + '/DatasetName.csv', 'rb') as fd:
data = np.recfromtxt(fd, delimiter=",", names=True, dtype=float)
return data 示例10: _get_data
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
def _get_data():
filepath = dirname(abspath(__file__))
with open(filepath + '/copper.csv', 'rb') as f:
data = recfromtxt(f, delimiter=",",
names=True, dtype=float, usecols=(1,2,3,4,5,6))
return data 示例11: _get_data
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
def _get_data():
filepath = dirname(abspath(__file__))
##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
with open(filepath + '/cancer.csv', 'rb') as f:
data = np.recfromtxt(f, delimiter=",", names=True, dtype=float)
return data 示例12: _get_data
# 需要導入模塊: import numpy [as 別名]
# 或者: from numpy import recfromtxt [as 別名]
def _get_data():
filepath = dirname(abspath(__file__))
with open(filepath + '/modechoice.csv', 'rb') as f:
data = np.recfromtxt(f, delimiter=";", names=True, dtype=float)
return data