Class MFDataset
object --+
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Dataset --+
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MFDataset
MFDataset(self, files, check=False, exclude=[])
Class for reading multi-file netCDF Datasets, making variables
spanning multiple files appear as if they were in one file.
Datasets must be in NETCDF4_CLASSIC, NETCDF3_CLASSIC or
NETCDF3_64BIT
format (NETCDF4
Datasets won't
work).
Adapted from pycdf by Andre Gosselin.
Example usage:
>>> import numpy
>>>
>>>
>>> for nfile in range(10):
>>> f = Dataset('mftest'+repr(nfile)+'.nc','w')
>>> f.createDimension('x',None)
>>> x = f.createVariable('x','i',('x',))
>>> x[0:10] = numpy.arange(nfile*10,10*(nfile+1))
>>> f.close()
>>>
>>> f = MFDataset('mftest*nc')
>>> print f.variables['x'][:]
[ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49
50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74
75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99]
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__init__()
Open a Dataset spanning multiple files, making it look as if it was a
single file. |
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__setattr__(...)
override base class attribute creation |
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close(...)
Close the Dataset. |
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ncattrs(...)
return netCDF global attribute names for this Dataset in a list. |
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Inherited from Dataset :
__delattr__ ,
__getattr__ ,
__new__ ,
createDimension ,
createVariable ,
delncattr ,
getncattr ,
renameDimension ,
renameVariable ,
set_fill_off ,
set_fill_on ,
setncattr ,
sync
Inherited from object :
__format__ ,
__hash__ ,
__reduce__ ,
__reduce_ex__ ,
__repr__ ,
__sizeof__ ,
__str__ ,
__subclasshook__
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x.__getattribute__('name') <==> x.name
- Overrides:
object.__getattribute__
- (inherited documentation)
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Open a Dataset spanning multiple files, making it look as if it was a
single file. Variables in the list of files that share the same unlimited
dimension are aggregated.
Adapted from pycdf by Andre Gosselin.
Usage:
nc = MFDataset(files, check=False, exclude=[])
- Parameters:
files - either a sequence of netCDF files or a string with a wildcard
(converted to a sorted list of files using glob) The first file
in the list will become the "master" file, defining all
the record variables (variables with an unlimited dimension)
which may span subsequent files. Attribute access returns
attributes only from "master" file. The files are
always opened in read-only mode.
check - True if you want to do consistency checking to ensure the correct
variables structure for all of the netcdf files. Checking makes
the initialization of the MFDataset instance much slower. Default
is False.
exclude - A list of variable names to exclude from aggregation. Default is
an empty list.
- Overrides:
object.__init__
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override base class attribute creation
- Overrides:
object.__setattr__
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Close the Dataset.
- Overrides:
Dataset.close
- (inherited documentation)
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return netCDF global attribute names for this Dataset in a list.
- Overrides:
Dataset.ncattrs
- (inherited documentation)
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