fix typing of netcdf

pmlmodelling · Mar 10, 2021 · 53e6769 · 53e6769
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diff --git a/docs/source/api.rst b/docs/source/api.rst
@@ -80,7 +80,7 @@ Variable modification
    DataSet.set_missing
    DataSet.sum_all
 
-NetCDF file attribute modification 
+netCDF file attribute modification 
 ---------------------
 
 .. autosummary::

diff --git a/docs/source/datasets.rst b/docs/source/datasets.rst
@@ -2,7 +2,7 @@ Datasets
 ========
 
 nctoolkit works with what it calls datasets. Each dataset is made up of
-or more NetCDF files. 
+or more netCDF files. 
 
 Opening datasets
 ----------------
@@ -20,7 +20,7 @@ all of the files in a folder called data as a dataset, you could do the followin
     data = nc.open_data("data/*.nc")
 
 If you want to use data that can be downloaded from a url, just use
-``open_url``. This will download the NetCDF files to a temporary folder,
+``open_url``. This will download the netCDF files to a temporary folder,
 and it can then be analyzed.
 
 

diff --git a/docs/source/exporting.rst b/docs/source/exporting.rst
@@ -7,7 +7,7 @@ nctoolkit can work with data available on local file systems, urls and over thre
 Opening single files and ensembles
 ================
 
-If you want to import a single NetCDF file as a dataset, do the following:
+If you want to import a single netCDF file as a dataset, do the following:
 
 
 .. code:: ipython3
@@ -59,13 +59,13 @@ If you want to work with data that is available over a thredds server or OPeNDAP
 Exporting datasets
 ================
 
-nctoolkit has a number of built in methods for exporting data to NetCDF, pandas dataframes and xarray datasets.
+nctoolkit has a number of built in methods for exporting data to netCDF, pandas dataframes and xarray datasets.
 
-Save as a NetCDF
+Save as a netCDF
 ================
 
-The method ``write_nc`` lets users export a dataset to a NetCDF file. If
-you want this to be a zipped NetCDF file use the ``zip`` method before
+The method ``write_nc`` lets users export a dataset to a netCDF file. If
+you want this to be a zipped netCDF file use the ``zip`` method before
 to ``write_nc``. An example of usage is as follows:
 
 .. code:: ipython3

diff --git a/docs/source/hacks.rst b/docs/source/hacks.rst
@@ -47,19 +47,19 @@ you need to set the ``join`` argument to ``False``:
 Of course, this method will only if it is possible to calculate the areas the grid cells.
 
 
-Changing the format of the NetCDF files in a dataset
+Changing the format of the netCDF files in a dataset
 ================
 
 Sometimes you will want to change the format of the files in a dataset. You can do this using the ``format`` method. This let's
 you set the format, with the following options: 
-  * NetCDF = "nc1"
-  * NetCDF version 2 (64-bit offset) = "nc2"/"nc"
-  * NetCDF4 (HDF5) = "nc4"
-  * NetCDF4-classi = "nc4c"
-  * NetCDF version 5 (64-bit data) = "nc5"
+  * netCDF = "nc1"
+  * netCDF version 2 (64-bit offset) = "nc2"/"nc"
+  * netCDF4 (HDF5) = "nc4"
+  * netCDF4-classi = "nc4c"
+  * netCDF version 5 (64-bit data) = "nc5"
 
 
-So, if you want to set the format to NetCDF4, you would do the following:
+So, if you want to set the format to netCDF4, you would do the following:
 
 .. code:: ipython3
 

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -1,8 +1,8 @@
 
-nctoolkit: Fast and easy analysis of NetCDF data in Python 
+nctoolkit: Fast and easy analysis of netCDF data in Python 
 =======================================================
 
-nctoolkit is a comprehensive Python package for analyzing NetCDF data on Linux and macOS.
+nctoolkit is a comprehensive Python package for analyzing netCDF data on Linux and macOS.
 
 Core abilities include:
 

diff --git a/docs/source/installing.rst b/docs/source/installing.rst
@@ -10,7 +10,7 @@ Python dependencies
 - `numpy <http://www.numpy.org/>`__ (1.14 or later)
 - `pandas <http://pandas.pydata.org/>`__ (0.24 or later)
 - `xarray <http://xarray.pydata.org/en/stable/>`__ (0.14 or later)
-- `NetCDF4 <https://unidata.github.io/NetCDF4-python/NetCDF4/index.html>`__ (1.53 or later)
+- `netCDF4 <https://unidata.github.io/netCDF4-python/netCDF4/index.html>`__ (1.53 or later)
 - `hvplot <https://ncplot.readthedocs.io/en/stable/>`__ 
 
 How to install nctoolkit

diff --git a/docs/source/interpolation.rst b/docs/source/interpolation.rst
@@ -62,8 +62,8 @@ We can then use this new dataset as the target grid in ``regrid``. So
 
 
 
-This method will also work using NetCDF files. So, if you wanted you can
-also use a path to a NetCDF file as the target grid.
+This method will also work using netCDF files. So, if you wanted you can
+also use a path to a netCDF file as the target grid.
 
 
 How to reuse the weights for regridding

diff --git a/docs/source/news.rst b/docs/source/news.rst
@@ -10,7 +10,7 @@ New methods will be introduced for identifying the first time step will specific
 ``first_above``, ``first_below``, ``last_above`` and ``last_below``. The thresholds are either single numbers or can come from a gridded dataset
 for grid-cell specific thresholds.
 
-Methods to compare a dataset with another dataset or NetCDF file have been added: ``gt`` and ``lt``, which stand for 'greater than' and 'less than'.
+Methods to compare a dataset with another dataset or netCDF file have been added: ``gt`` and ``lt``, which stand for 'greater than' and 'less than'.
 
 Users will now be able to recycle the weights calculated when interpolating data. This can enable much faster interpolation of multiple files with the
 same grid.

diff --git a/docs/source/parallel.rst b/docs/source/parallel.rst
@@ -1,7 +1,7 @@
 Parallel processing
 ===================
 
-nctoolkit is written to enable rapid processing and analysis of NetCDF
+nctoolkit is written to enable rapid processing and analysis of netCDF
 files, and this includes the ability to process in parallel. Two methods
 of parallel processing are available. First is the ability to carry out
 operations on multi-file datasets in parallel. Second is the ability to

diff --git a/docs/source/variables.rst b/docs/source/variables.rst
@@ -254,7 +254,7 @@ If you wanted to multiply everything by 10, you would do this:
     data.multiply(10)
 
 
-These methods will also let you use other datasets or NetCDF files. So, you could add the values in a dataset data2 to a dataset
+These methods will also let you use other datasets or netCDF files. So, you could add the values in a dataset data2 to a dataset
 called data1 as follows: