diff --git a/docs/index.html b/docs/index.html index 8484e66d6..b766ef171 100644 --- a/docs/index.html +++ b/docs/index.html @@ -1552,8 +1552,8 @@
False
, an
exception will be raised if a file with the same name already exists.
mode=x
is identical to mode=w
with clobber=False.
-format
: underlying file format (one of 'NETCDF4',
-'NETCDF4_CLASSIC', 'NETCDF3_CLASSIC'<code>, </code>'NETCDF3_64BIT_OFFSET'
or
+
format
: underlying file format (one of 'NETCDF4'
,
+'NETCDF4_CLASSIC'
, 'NETCDF3_CLASSIC'
, 'NETCDF3_64BIT_OFFSET'
or
'NETCDF3_64BIT_DATA'
.
Only relevant if mode = 'w'
(if mode = 'r','a'
or 'r+'
the file format
is automatically detected). Default 'NETCDF4'
, which means the data is
@@ -1637,8 +1637,8 @@
.nc
is used..
mode
:
Access mode to open Dataset (Default 'a'
).
format
: underlying file format to use (one of 'NETCDF4',
-'NETCDF4_CLASSIC', 'NETCDF3_CLASSIC'<code>, </code>'NETCDF3_64BIT_OFFSET'
or
+
format
: underlying file format to use (one of 'NETCDF4'
,
+'NETCDF4_CLASSIC'
, 'NETCDF3_CLASSIC'
, 'NETCDF3_64BIT_OFFSET'
or
'NETCDF3_64BIT_DATA'
. Default 'NETCDF4'
.
Dataset instance for ncfilename
is returned.
least_significant_digit
. Application programs should never modify
these attributes. The dimensions
attribute is a tuple containing the
names of the dimensions associated with this variable. The dtype
-attribute is a string describing the variable's data type (i4, f8,
-S1,<code> etc). The </code>shape
attribute is a tuple describing the current
+attribute is a string describing the variable's data type (i4
, f8
,
+S1
, etc). The shape
attribute is a tuple describing the current
sizes of all the variable's dimensions. The name
attribute is a
string containing the name of the Variable instance.
The least_significant_digit
@@ -2347,8 +2347,8 @@ 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, NETCDF3_64BIT_OFFSET
-or NETCDF3_64BIT_DATA<code> format (</code>NETCDF4
Datasets won't work).
NETCDF4_CLASSIC
, NETCDF3_CLASSIC
, NETCDF3_64BIT_OFFSET
+or NETCDF3_64BIT_DATA
format (NETCDF4
Datasets won't work).
Adapted from pycdf by Andre Gosselin.
Example usage (See MFDataset
for more details):
>>> import numpy as np
diff --git a/src/netCDF4/_netCDF4.pyx b/src/netCDF4/_netCDF4.pyx
index fc7494208..6d5ae3c4b 100644
--- a/src/netCDF4/_netCDF4.pyx
+++ b/src/netCDF4/_netCDF4.pyx
@@ -2985,8 +2985,8 @@ Dataset standard attributes: `dimensions, dtype, shape, ndim, name` and
`least_significant_digit`. Application programs should never modify
these attributes. The `dimensions` attribute is a tuple containing the
names of the dimensions associated with this variable. The `dtype`
-attribute is a string describing the variable's data type (`i4, f8,
-S1,` etc). The `shape` attribute is a tuple describing the current
+attribute is a string describing the variable's data type (`i4`, `f8`,
+`S1`, etc). The `shape` attribute is a tuple describing the current
sizes of all the variable's dimensions. The `name` attribute is a
string containing the name of the Variable instance.
The `least_significant_digit`
@@ -3493,8 +3493,8 @@ suffix replaced by `.nc` is used..
**`mode`**: Access mode to open Dataset (Default `'a'`).
-**`format`**: underlying file format to use (one of `'NETCDF4',
-'NETCDF4_CLASSIC', 'NETCDF3_CLASSIC'`, `'NETCDF3_64BIT_OFFSET'` or
+**`format`**: underlying file format to use (one of `'NETCDF4'`,
+`'NETCDF4_CLASSIC'`, `'NETCDF3_CLASSIC'`, `'NETCDF3_64BIT_OFFSET'` or
`'NETCDF3_64BIT_DATA'`. Default `'NETCDF4'`.
Dataset instance for `ncfilename` is returned.
@@ -6833,8 +6833,8 @@ class MFDataset(Dataset):
"""
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, NETCDF3_64BIT_OFFSET
-or NETCDF3_64BIT_DATA` format (`NETCDF4` Datasets won't work).
+Datasets must be in `NETCDF4_CLASSIC`, `NETCDF3_CLASSIC`, `NETCDF3_64BIT_OFFSET`
+or `NETCDF3_64BIT_DATA` format (`NETCDF4` Datasets won't work).
Adapted from [pycdf](http://pysclint.sourceforge.net/pycdf) by Andre Gosselin.