diff --git a/notebooks/00-quick_intro.ipynb b/notebooks/00-quick_intro.ipynb index a1e827e..7040ec2 100644 --- a/notebooks/00-quick_intro.ipynb +++ b/notebooks/00-quick_intro.ipynb @@ -43,6 +43,7 @@ " \"longitude\",\n", " \"salinity\",\n", " \"temperature\",\n", + " \"profile_id\",\n", " \"time\",\n", "]\n", "\n", @@ -79,16 +80,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The variable names are standardised by gliderpy, making it easier to fetch from different data sources and comparing the results.\n", + "Much easier, right?\n", + "The variable names are standardized by gliderpy,\n", + "making it easier to fetch from different data sources and comparing the results.\n", "\n", - "`gliderpy` can subset the data on the server side by passing a geographic bounding box and time interval." + "The `gliderpy` libray can subset the data on the server side by passing a geographic bounding box and time interval." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Multiple datasets\n", + "### Querying multiple datasets\n", "\n", "The most common use is to search all datasets for data that falls within the certain space-time bounds." ] @@ -101,7 +104,16 @@ "source": [ "glider_grab = GliderDataFetcher()\n", "\n", - "glider_grab.query(10, 40, -90, 8, \"2010-01-01\", \"2013-06-02\")\n", + "df = glider_grab.query(10, 40, -90, 8, \"2010-01-01\", \"2013-06-02\")\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ "df = glider_grab.to_pandas()\n", "df.head()" ] @@ -112,7 +124,7 @@ "source": [ "### Dataset search\n", "\n", - "One can query all dataset_ids available." + "One can query all `dataset_id`s available in the server." ] }, { @@ -146,7 +158,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.4" + "version": "3.11.6" } }, "nbformat": 4,