@@ -1552,8 +1552,8 @@ <h3>Instance variables</h3>
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if < code > False</ code > , an
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exception will be raised if a file with the same name already exists.
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mode=< code > x</ code > is identical to mode=< code > w</ code > with clobber=False.</ p >
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- < p > < strong > < code > format</ code > </ strong > : underlying file format (one of < code > 'NETCDF4',
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- 'NETCDF4_CLASSIC', 'NETCDF3_CLASSIC'< code>, </ code> 'NETCDF3_64BIT_OFFSET'</ code > or
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+ < p > < strong > < code > format</ code > </ strong > : underlying file format (one of < code > 'NETCDF4'</ code > ,
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+ < code > 'NETCDF4_CLASSIC'</ code > , < code > 'NETCDF3_CLASSIC'</ code > , < code > 'NETCDF3_64BIT_OFFSET'</ code > or
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< code > 'NETCDF3_64BIT_DATA'</ code > .
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Only relevant if < code > mode = 'w'</ code > (if < code > mode = 'r','a'</ code > or < code > 'r+'</ code > the file format
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is automatically detected). Default < code > 'NETCDF4'</ code > , which means the data is
@@ -1637,8 +1637,8 @@ <h3>Static methods</h3>
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suffix replaced by < code > .nc</ code > is used..</ p >
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< p > < strong > < code > mode</ code > </ strong > :
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Access mode to open Dataset (Default < code > 'a'</ code > ).</ p >
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- < p > < strong > < code > format</ code > </ strong > : underlying file format to use (one of < code > 'NETCDF4',
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- 'NETCDF4_CLASSIC', 'NETCDF3_CLASSIC'< code>, </ code> 'NETCDF3_64BIT_OFFSET'</ code > or
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+ < p > < strong > < code > format</ code > </ strong > : underlying file format to use (one of < code > 'NETCDF4'</ code > ,
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+ < code > 'NETCDF4_CLASSIC'</ code > , < code > 'NETCDF3_CLASSIC'</ code > , < code > 'NETCDF3_64BIT_OFFSET'</ code > or
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< code > 'NETCDF3_64BIT_DATA'</ code > . Default < code > 'NETCDF4'</ code > .</ p >
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< p > Dataset instance for < code > ncfilename</ code > is returned.</ p > </ div >
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</ dd >
@@ -1912,8 +1912,8 @@ <h3>Methods</h3>
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< code > least_significant_digit</ code > . Application programs should never modify
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these attributes. The < code > dimensions</ code > attribute is a tuple containing the
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names of the dimensions associated with this variable. The < code > dtype</ code >
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- attribute is a string describing the variable's data type (< code > i4, f8 ,
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- S1,< code> etc). The </ code> shape</ code > attribute is a tuple describing the current
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+ attribute is a string describing the variable's data type (< code > i4</ code > , < code > f8 </ code > ,
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+ < code > S1 </ code > , etc). The < code > shape</ code > attribute is a tuple describing the current
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sizes of all the variable's dimensions. The < code > name</ code > attribute is a
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string containing the name of the Variable instance.
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The < code > least_significant_digit</ code >
@@ -2347,8 +2347,8 @@ <h3>Methods</h3>
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< dd >
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< div class ="desc "> < p > Class for reading multi-file netCDF Datasets, making variables
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spanning multiple files appear as if they were in one file.
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- Datasets must be in < code > NETCDF4_CLASSIC, NETCDF3_CLASSIC, NETCDF3_64BIT_OFFSET
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- or NETCDF3_64BIT_DATA< code> format (</ code> NETCDF4</ code > Datasets won't work).</ p >
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+ Datasets must be in < code > NETCDF4_CLASSIC</ code > , < code > NETCDF3_CLASSIC</ code > , < code > NETCDF3_64BIT_OFFSET</ code >
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+ or < code > NETCDF3_64BIT_DATA</ code > format (< code > NETCDF4</ code > Datasets won't work).</ p >
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< p > Adapted from < a href ="http://pysclint.sourceforge.net/pycdf "> pycdf</ a > by Andre Gosselin.</ p >
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< p > Example usage (See < code > < a title ="netCDF4.MFDataset " href ="#netCDF4.MFDataset "> MFDataset</ a > </ code > for more details):</ p >
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< pre > < code class ="language-python "> >>> import numpy as np
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