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 @@

Instance variables

if 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 @@

Static methods

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'<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.

@@ -1912,8 +1912,8 @@

Methods

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 @@

Methods

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).

+Datasets must be in 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.