minor tweaks to notebooks

Author: phobson

docs/tutorial/closer_look_at_viz.ipynb

@@ -257,7 +257,7 @@
     "                         ylabel='Normal Probabilities', \n",
     "                         **common_opts)\n",
     "ax3.set_ylim(bottom=0.13, top=99.87)\n",
-    "ax3.legend()\n",
+    "ax3.legend(loc='upper left')\n",
     "fig.tight_layout()\n",
     "seaborn.despine()"
    ]
@@ -306,8 +306,8 @@
     "fig = probscale.probplot(tips['total_bill'], ax=ax3, dist=None,\n",
     "                         ylabel='Normal Probabilities', **common_opts)\n",
     "\n",
-    "ax.legend(loc='lower right')\n",
-    "ax.set_ylim(bottom=0.1, top=99.9)\n",
+    "ax3.legend(loc='lower right')\n",
+    "ax3.set_ylim(bottom=0.1, top=99.9)\n",
     "seaborn.despine()\n",
     "fig.tight_layout()"
    ]
@@ -599,9 +599,12 @@
    },
    "outputs": [],
    "source": [
-    "fg = seaborn.FacetGrid(data=iris, hue='species', aspect=2)\n",
-    "fg.map(probscale.probplot, 'sepal_length')\n",
-    "fg.set_axis_labels(x_var='Probability', y_var='Sepal Length')"
+    "fg = (\n",
+    "    seaborn.FacetGrid(data=iris, hue='species', aspect=2)\n",
+    "        .map(probscale.probplot, 'sepal_length')\n",
+    "        .set_axis_labels(x_var='Probability', y_var='Sepal Length')\n",
+    "        .add_legend()\n",
+    ")"
    ]
   },
   {
@@ -612,9 +615,12 @@
    },
    "outputs": [],
    "source": [
-    "fg = seaborn.FacetGrid(data=iris, hue='species', aspect=2)\n",
-    "fg.map(probscale.probplot, 'petal_length', plottype='qq', probax='y')\n",
-    "fg.set_ylabels('Quantiles')"
+    "fg = (\n",
+    "    seaborn.FacetGrid(data=iris, hue='species', aspect=2)\n",
+    "        .map(probscale.probplot, 'petal_length', plottype='qq', probax='y')\n",
+    "        .set_ylabels('Quantiles')\n",
+    "        .add_legend()\n",
+    ")"
    ]
   },
   {
@@ -625,10 +631,12 @@
    },
    "outputs": [],
    "source": [
-    "fg = seaborn.FacetGrid(data=tips, hue='sex', row='smoker', col='time', \n",
-    "                       aspect=1.5, margin_titles=True)\n",
-    "fg.map(probscale.probplot, 'total_bill', probax='y', bestfit=True)\n",
-    "fg.set_ylabels('Probability')"
+    "fg = (\n",
+    "    seaborn.FacetGrid(data=tips, hue='sex', row='smoker', col='time', aspect=1.5, margin_titles=True)\n",
+    "        .map(probscale.probplot, 'total_bill', probax='y', bestfit=True)\n",
+    "        .set_ylabels('Probability')\n",
+    "        .add_legend()\n",
+    ")"
    ]
   }
  ],
@@ -653,4 +661,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}

docs/tutorial/getting_started.ipynb

@@ -296,9 +296,9 @@
     "probscale.probplot(\n",
     "    new_sample,\n",
     "    ax=ax,\n",
-    "    probax='y',        # flip the plot\n",
-    "    datascale='log',  # scale of the non-probability axis\n",
-    "    bestfit=True,      # draw a best-fit line\n",
+    "    probax='y', # flip the plot\n",
+    "    datascale='log', # scale of the non-probability axis\n",
+    "    bestfit=True, # draw a best-fit line\n",
     "    xlabel='Lognormal Values',  # labels and markers...\n",
     "    ylabel='Non-exceedance probability',\n",
     "    scatter_kws=dict(marker='d', zorder=2, mew=1.25, mec='w', markersize=10),\n",