diff --git a/notebooks/01-plotting_intro.ipynb b/notebooks/01-plotting_intro.ipynb
index caef41d..8b8ee9b 100644
--- a/notebooks/01-plotting_intro.ipynb
+++ b/notebooks/01-plotting_intro.ipynb
@@ -7,7 +7,7 @@
     "## Plotting Intro\n",
     "\n",
     "\n",
-    "Gliderpy has a plotting interface for quick simple diagnositc figures they are: `plot_ track`, `plot_ctd`, and `plot_transect` for plotting the glider track, a vertical transect for a specific variable, or a single cast (glider dive). Let's take a look on how to use them. First we will load a glider dataset as a pandas DataFrame."
+    "Gliderpy has a plotting interface for quick simple diagnostic figures they are: `plot_ track`, `plot_ctd`, and `plot_transect` for plotting the glider track, a vertical transect for a specific variable, or a single cast (glider dive). Let's take a look on how to use them. First we will load a glider dataset as a pandas DataFrame."
    ]
   },
   {
@@ -18,7 +18,6 @@
    "source": [
     "from gliderpy.fetchers import GliderDataFetcher\n",
     "\n",
-    "\n",
     "glider_grab = GliderDataFetcher()\n",
     "\n",
     "glider_grab.fetcher.dataset_id = \"whoi_406-20160902T1700\"\n",
@@ -49,7 +48,7 @@
    "source": [
     "### plot_ctd\n",
     "\n",
-    "This methos groups all the casts by their position (latitude and longitude) giving the user access to each individual cast using the index (`profile_number`) of the grouped DataFrame."
+    "This method groups all the casts by their position (latitude and longitude) giving the user access to each individual cast using the index (`profile_number`) of the grouped DataFrame."
    ]
   },
   {
@@ -114,7 +113,6 @@
    "source": [
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "\n",
     "fig, (ax0, ax1) = plt.subplots(\n",
     "    figsize=(15, 9),\n",
     "    nrows=2,\n",