From 735a3590ea4df70e1e5be729162df2f8774b3879 Mon Sep 17 00:00:00 2001 From: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com> Date: Mon, 15 Feb 2021 16:09:01 +1030 Subject: [PATCH] Fix typos in example notebooks (#4908) --- doc/examples/ERA5-GRIB-example.ipynb | 2 +- doc/examples/ROMS_ocean_model.ipynb | 2 +- doc/examples/monthly-means.ipynb | 6 +++--- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/doc/examples/ERA5-GRIB-example.ipynb b/doc/examples/ERA5-GRIB-example.ipynb index b82a07a64e6..1c6be5f6634 100644 --- a/doc/examples/ERA5-GRIB-example.ipynb +++ b/doc/examples/ERA5-GRIB-example.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "GRIB format is commonly used to disemminate atmospheric model data. With Xarray and the cfgrib engine, GRIB data can easily be analyzed and visualized." + "GRIB format is commonly used to disseminate atmospheric model data. With Xarray and the cfgrib engine, GRIB data can easily be analyzed and visualized." ] }, { diff --git a/doc/examples/ROMS_ocean_model.ipynb b/doc/examples/ROMS_ocean_model.ipynb index 74536bbe28f..b699c4d5ba9 100644 --- a/doc/examples/ROMS_ocean_model.ipynb +++ b/doc/examples/ROMS_ocean_model.ipynb @@ -120,7 +120,7 @@ "source": [ "### A naive vertical slice\n", "\n", - "Create a slice using the s-coordinate as the vertical dimension is typically not very informative." + "Creating a slice using the s-coordinate as the vertical dimension is typically not very informative." ] }, { diff --git a/doc/examples/monthly-means.ipynb b/doc/examples/monthly-means.ipynb index bc88f4a9fc9..3490fc9a4fe 100644 --- a/doc/examples/monthly-means.ipynb +++ b/doc/examples/monthly-means.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Calculating Seasonal Averages from Timeseries of Monthly Means \n", + "Calculating Seasonal Averages from Time Series of Monthly Means \n", "=====\n", "\n", "Author: [Joe Hamman](https://github.com/jhamman/)\n", @@ -60,10 +60,10 @@ "source": [ "#### Now for the heavy lifting:\n", "We first have to come up with the weights,\n", - "- calculate the month lengths for each monthly data record\n", + "- calculate the month length for each monthly data record\n", "- calculate weights using `groupby('time.season')`\n", "\n", - "Finally, we just need to multiply our weights by the `Dataset` and sum allong the time dimension. Creating a `DataArray` for the month length is as easy as using the `days_in_month` accessor on the time coordinate. The calendar type, in this case `'noleap'`, is automatically considered in this operation." + "Finally, we just need to multiply our weights by the `Dataset` and sum along the time dimension. Creating a `DataArray` for the month length is as easy as using the `days_in_month` accessor on the time coordinate. The calendar type, in this case `'noleap'`, is automatically considered in this operation." ] }, {