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Fix 'homogenous' typo, replace with 'homogeneous'. #462

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merged 1 commit into from Sep 24, 2015
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Fix 'homogenous' typo, replace with 'homogeneous'. #462

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10 changes: 5 additions & 5 deletions docs/netCDF4/index.html
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Expand Up @@ -1343,7 +1343,7 @@ <h1>Tutorial</h1>
<li><a href="#section7">Dealing with time coordinates.</a></li>
<li><a href="#section8">Reading data from a multi-file netCDF dataset.</a></li>
<li><a href="#section9">Efficient compression of netCDF variables.</a></li>
<li><a href="#section10">Beyond homogenous arrays of a fixed type - compound data types.</a></li>
<li><a href="#section10">Beyond homogeneous arrays of a fixed type - compound data types.</a></li>
<li><a href="#section11">Variable-length (vlen) data types.</a></li>
<li><a href="#section12">Enum data type.</a></li>
</ol>
Expand Down Expand Up @@ -1862,7 +1862,7 @@ <h2><div id='section9'>9) Efficient compression of netCDF variables.</h2>


<p>and see how much smaller the resulting files are.</p>
<h2><div id='section10'>10) Beyond homogenous arrays of a fixed type - compound data types.</h2>
<h2><div id='section10'>10) Beyond homogeneous arrays of a fixed type - compound data types.</h2>
<p>Compound data types map directly to numpy structured (a.k.a 'record'
arrays). Structured arrays are akin to C structs, or derived types
in Fortran. They allow for the construction of table-like structures
Expand Down Expand Up @@ -2690,7 +2690,7 @@ <h3>Static methods</h3>
dtype object <code>datatype</code>.</p>
<p><strong><em>Note</em></strong>: If the new compound data type contains other compound data types
(i.e. it is a 'nested' compound type, where not all of the elements
are homogenous numeric data types), then the 'inner' compound types <strong>must</strong> be
are homogeneous numeric data types), then the 'inner' compound types <strong>must</strong> be
created first.</p>
<p>The return value is the <a href="#netCDF4.CompoundType"><code>CompoundType</code></a> class instance describing the new
datatype.</p></div>
Expand Down Expand Up @@ -3700,7 +3700,7 @@ <h3>Static methods</h3>
dtype object <code>datatype</code>.</p>
<p><strong><em>Note</em></strong>: If the new compound data type contains other compound data types
(i.e. it is a 'nested' compound type, where not all of the elements
are homogenous numeric data types), then the 'inner' compound types <strong>must</strong> be
are homogeneous numeric data types), then the 'inner' compound types <strong>must</strong> be
created first.</p>
<p>The return value is the <a href="#netCDF4.CompoundType"><code>CompoundType</code></a> class instance describing the new
datatype.</p></div>
Expand Down Expand Up @@ -4585,7 +4585,7 @@ <h3>Static methods</h3>
dtype object <code>datatype</code>.</p>
<p><strong><em>Note</em></strong>: If the new compound data type contains other compound data types
(i.e. it is a 'nested' compound type, where not all of the elements
are homogenous numeric data types), then the 'inner' compound types <strong>must</strong> be
are homogeneous numeric data types), then the 'inner' compound types <strong>must</strong> be
created first.</p>
<p>The return value is the <a href="#netCDF4.CompoundType"><code>CompoundType</code></a> class instance describing the new
datatype.</p></div>
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4 changes: 2 additions & 2 deletions netCDF4/_netCDF4.c
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6 changes: 3 additions & 3 deletions netCDF4/_netCDF4.pyx
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Expand Up @@ -103,7 +103,7 @@ Tutorial
7. [Dealing with time coordinates.](#section7)
8. [Reading data from a multi-file netCDF dataset.](#section8)
9. [Efficient compression of netCDF variables.](#section9)
10. [Beyond homogenous arrays of a fixed type - compound data types.](#section10)
10. [Beyond homogeneous arrays of a fixed type - compound data types.](#section10)
11. [Variable-length (vlen) data types.](#section11)
12. [Enum data type.](#section12)

Expand Down Expand Up @@ -651,7 +651,7 @@ and then

and see how much smaller the resulting files are.

## <div id='section10'>10) Beyond homogenous arrays of a fixed type - compound data types.
## <div id='section10'>10) Beyond homogeneous arrays of a fixed type - compound data types.

Compound data types map directly to numpy structured (a.k.a 'record'
arrays). Structured arrays are akin to C structs, or derived types
Expand Down Expand Up @@ -1971,7 +1971,7 @@ dtype object `datatype`.

***Note***: If the new compound data type contains other compound data types
(i.e. it is a 'nested' compound type, where not all of the elements
are homogenous numeric data types), then the 'inner' compound types **must** be
are homogeneous numeric data types), then the 'inner' compound types **must** be
created first.

The return value is the `netCDF4.CompoundType` class instance describing the new
Expand Down