def __init__(self,
filename,
mode,
delim=None,
dtype=None,
nrows=-9999,
offset=0,
bracket_arrays=0,
padnull=False,
ignorenull=False):
_records.Records_swiginit(
self,
_records.new_Records(filename, mode, delim, dtype, nrows, offset,
bracket_arrays, padnull, ignorenull))
def __init__(self,
filename,
mode,
delim=None,
dtype=None,
nrows=-9999,
offset=0,
bracket_arrays=0,
padnull=False,
ignorenull=False):
this = _records.new_Records(filename, mode, delim, dtype, nrows,
offset, bracket_arrays, padnull,
ignorenull)
try:
self.this.append(this)
except Exception:
self.this = this
def __init__(self, filename, mode, delim=None, dtype=None, nrows=-9999, offset=0, bracket_arrays=0, padnull=False, ignorenull=False):
this = _records.new_Records(filename, mode, delim, dtype, nrows, offset, bracket_arrays, padnull, ignorenull)
try:
self.this.append(this)
except Exception:
self.this = this
def __init__(self, *args, **kwargs):
"""
Class
Records - A class for reading from a file of fixed-length records into
numerical python arrays. The file can be binary or ASCII.
An new Records class is instantiated using the Open() method:
For writing:
import records
r = records.Open(file/fileobj, mode='w', delim='')
For reading:
import records
r = records.Open(file/fileobj, delim='', dtype=None, nrows=-9999)
# Arguments can all be given as keywords except the file
Inputs:
file/fileobj: A string file name or an open file object.
mode: The file mode. Default is 'r' but can be 'u' or 'w'.
delim: The delimiter used in the file. Default is for
binary files, but can be any string such as ',', '\t', etc.
dtype: A numpy dtype object. REQUIRED FOR READING. For example:
numpy.dtype([('field1', 'i4'),('field2', 'f8')])
some_numpy_array.dtype
nrows: The number of rows in the file. REQUIRED FOR READING.
Class Methods:
Read(rows=, fields=):
Returns the data in a NumPy array. Specific rows and fields
of the file can be specified with the keywords. Rows must be
sorted and unique. Can be in any order.
Write(numpy_array):
Write the input numpy array to the file. The array must have
field names defined.
Examples:
import numpy
import records
# Read from a binary file
file='test.bin'
dtype=numpy.dtype([('field1','f8'),('field2','2i4'),('field3','i8')])
nrows=10000000
robj = records.Open(file, dtype=dtype, nrows=nrows)
res=robj.Read()
# Read from a CSV file of the same structure, and only read a subset
# of the data
rows2get=[2335,122332,1550021]
fields2get='field2'
robj = records.Open('test.csv', delim=',', dtype=dtype, nrows=nrows)
res = robj.Read(rows=rows2get, fields=fields2get)
# Write a numpy array to a file
r = records.Open('test.csv', 'w', ',')
r.Write(my_array)
Modification history:
Created: 2008-07-18, Erin Sheldon
"""
this = _records.new_Records(*args, **kwargs)
try: self.this.append(this)
except: self.this = this
def __init__(self, *args, **kwargs):
"""
Class
Records - A class for reading from a file of fixed-length records into
numerical python arrays. The file can be binary or ASCII.
An new Records class is instantiated using the Open() method:
For writing:
import records
r = records.Open(file/fileobj, mode='w', delim='')
For reading:
import records
r = records.Open(file/fileobj, delim='', dtype=None, nrows=-9999)
# Arguments can all be given as keywords except the file
Inputs:
file/fileobj: A string file name or an open file object.
mode: The file mode. Default is 'r' but can be 'u' or 'w'.
delim: The delimiter used in the file. Default is for
binary files, but can be any string such as ',', '\t', etc.
dtype: A numpy dtype object. REQUIRED FOR READING. For example:
numpy.dtype([('field1', 'i4'),('field2', 'f8')])
some_numpy_array.dtype
nrows: The number of rows in the file. REQUIRED FOR READING.
Class Methods:
Read(rows=, fields=):
Returns the data in a NumPy array. Specific rows and fields
of the file can be specified with the keywords. Rows must be
sorted and unique. Can be in any order.
Write(numpy_array):
Write the input numpy array to the file. The array must have
field names defined.
Examples:
import numpy
import records
# Read from a binary file
file='test.bin'
dtype=numpy.dtype([('field1','f8'),('field2','2i4'),('field3','i8')])
nrows=10000000
robj = records.Open(file, dtype=dtype, nrows=nrows)
res=robj.Read()
# Read from a CSV file of the same structure, and only read a subset
# of the data
rows2get=[2335,122332,1550021]
fields2get='field2'
robj = records.Open('test.csv', delim=',', dtype=dtype, nrows=nrows)
res = robj.Read(rows=rows2get, fields=fields2get)
# Write a numpy array to a file
r = records.Open('test.csv', 'w', ',')
r.Write(my_array)
Modification history:
Created: 2008-07-18, Erin Sheldon
"""
this = _records.new_Records(*args, **kwargs)
try:
self.this.append(this)
except:
self.this = this
