small changes only

Author: mixmixmix

notebooks/12_matplotlib-and-seaborn.ipynb

@@ -28,11 +28,11 @@
     "\n",
     "`matplotlib` is a huge module and we will only introduce you to a few plotting tools today.\n",
     "\n",
-    "In order to make plots work in Jupyter we need to use a 'magic' command: `%matplotlib inline`\n",
+    "In order to make Jupyter show plots just saved with command `plt.savefig()` we need to use a 'magic' command: `%matplotlib inline`\n",
     "\n",
     "Most of the functions we will need are in the `matplotlib.pyplot` submodule - so we will only import that today.\n",
     "\n",
-    "<div style=\"background-color:#cdefff; border-radius: 5px; padding: 10pt\"><strong>Task:</strong> In the cell below, add a line to import the <code style=\"background-color:#cdefff\">matplotlib.pyplot</code> submodule. It is convential to give this the alias <code style=\"background-color:#cdefff\">mpl</code>. In the same cell import the `pandas` module.</div>\n",
+    "<div style=\"background-color:#cdefff; border-radius: 5px; padding: 10pt\"><strong>Task:</strong> In the cell below, add a line to import the <code style=\"background-color:#cdefff\">matplotlib.pyplot</code> submodule. It is convential to give this the alias <code style=\"background-color:#cdefff\">plt</code>. In the same cell import the `pandas` module.</div>\n",
     "\n",
     "<br>\n",
     "<div style=\"background-color:#cdefff; border-radius: 5px; padding: 10pt\"><strong>Task:</strong> Find the matplotlib Documentation on-line. Can you easily navigate the documentation to find useful functions?</div>"
@@ -142,8 +142,9 @@
     "import seaborn as sns\n",
     "\n",
     "# Create a plot of sepal_length vs sepal_width where colour (hue) is controlled by the species\n",
-    "# height controls the figure height in inches\n",
-    "# truncate prevents the regression extending beyond the data\n",
+    "#\n",
+    "# 'height' controls the figure height in inches\n",
+    "# 'truncate' prevents the regression extending beyond the data\n",
     "sns.lmplot(x='sepal_length',y='sepal_width',data=iris,hue='species',height=5,truncate=True)\n",
     "\n",
     "# Save figure\n",
@@ -154,9 +155,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Faceted Plotting with `seaborn`\n",
+    "### Faceted plotting with `seaborn`\n",
     "\n",
-    "Isn't that a lot simpler!\n",
+    "Isn't that a lot simpler?!\n",
     "\n",
     "`seaborn` is doing all the hard work for you - it creates the figure, the scatter plots, the legend and it does the regression and plots the model with error bounds too.\n",
     "\n",
@@ -279,7 +280,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.7.1"
   }
  },
  "nbformat": 4,