From c11a029c5a615abbb68acca999d9cfd9cfa28918 Mon Sep 17 00:00:00 2001 From: Orhan Eroglu <32553057+erogluorhan@users.noreply.github.com> Date: Thu, 14 Sep 2023 14:02:53 -0600 Subject: [PATCH] Fix pandas link (#429) --- core/xarray/computation-masking.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/core/xarray/computation-masking.ipynb b/core/xarray/computation-masking.ipynb index 5c7467dfd..3e3c29f5b 100644 --- a/core/xarray/computation-masking.ipynb +++ b/core/xarray/computation-masking.ipynb @@ -337,7 +337,7 @@ "source": [ "
\n", "\n", - "In the above code example, we are extracting components of date/time data by way of the time coordinate's `.dt` attribute. This attribute is a `DatetimeAccessor` object that contains additional attributes for units of time, such as hour, day, and year. Since we are splitting the data into monthly data, we use the `month` attribute of .dt in this example. (In addition, there exists similar functionality in Pandas; see the [official documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.dt.html) for details.)\n", + "In the above code example, we are extracting components of date/time data by way of the time coordinate's `.dt` attribute. This attribute is a `DatetimeAccessor` object that contains additional attributes for units of time, such as hour, day, and year. Since we are splitting the data into monthly data, we use the `month` attribute of .dt in this example. (In addition, there exists similar functionality in Pandas; see the [official documentation](https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.month.html) for details.)\n", " \n", "
" ]