diff --git a/AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb b/AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb
index 6ab58e8..ac00986 100644
--- a/AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb
+++ b/AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb
@@ -116,7 +116,7 @@
"# We could have also done this with two separate calls to `ax.bar` and numpy boolean indexing.\n",
"for bar, height in zip(vert_bars, y):\n",
" if height < 0:\n",
- " bar.set(edgecolor='darkred', color='salmon', linewidth=3)\n",
+ " bar.set(color='salmon', edgecolor='darkred', linewidth=3)\n",
"\n",
"plt.show()"
]
@@ -305,7 +305,7 @@
"outputs": [],
"source": [
"from matplotlib.cbook import get_sample_data\n",
- "data = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))\n",
+ "data = np.load('assets/bivariate_normal.npy')\n",
"\n",
"fig, ax = plt.subplots()\n",
"im = ax.imshow(data, cmap='gist_earth')\n",
@@ -370,7 +370,7 @@
"outputs": [],
"source": [
"from matplotlib.cbook import get_sample_data\n",
- "data = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))\n",
+ "data = np.load('assets/bivariate_normal.npy')\n",
"\n",
"fig, ax = plt.subplots()\n",
"im = ax.imshow(data, cmap='seismic')\n",
@@ -462,7 +462,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.5"
+ "version": "3.6.6"
}
},
"nbformat": 4,
diff --git a/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb b/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb
index d7bbf0e..e3c93fe 100644
--- a/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb
+++ b/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb
@@ -102,17 +102,17 @@
"# Markers\n",
"[Markers](http://matplotlib.org/api/markers_api.html) are commonly used in [`plot()`](http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.plot) and [`scatter()`](http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter) plots, but also show up elsewhere. There is a wide set of markers available, and custom markers can even be specified.\n",
"\n",
- "marker | description ||marker | description ||marker | description ||marker | description \n",
- ":----------|:--------------||:---------|:--------------||:---------|:--------------||:---------|:--------------\n",
- "\".\" | point ||\"+\" | plus ||\",\" | pixel ||\"x\" | cross\n",
- "\"o\" | circle ||\"D\" | diamond ||\"d\" | thin_diamond || |\n",
- "\"8\" | octagon ||\"s\" | square ||\"p\" | pentagon ||\"\\*\" | star\n",
- "\"|\" | vertical line||\"\\_\" | horizontal line ||\"h\" | hexagon1 ||\"H\" | hexagon2\n",
- "0 | tickleft ||4 | caretleft ||\"<\" | triangle_left ||\"3\" | tri_left\n",
- "1 | tickright ||5 | caretright ||\">\" | triangle_right||\"4\" | tri_right\n",
- "2 | tickup ||6 | caretup ||\"^\" | triangle_up ||\"2\" | tri_up\n",
- "3 | tickdown ||7 | caretdown ||\"v\" | triangle_down ||\"1\" | tri_down\n",
- "\"None\" | nothing ||`None` | default ||\" \" | nothing ||\"\" | nothing"
+ "marker | description | marker | description | marker | description | marker | description \n",
+ ":----------|:--------------|:----------|:----------------|:---------|:--------------|:----------|:--------------\n",
+ "\".\" | point | \"+\" | plus | \",\" | pixel | \"x\" | cross\n",
+ "\"o\" | circle | \"D\" | diamond | \"d\" | thin_diamond | |\n",
+ "\"8\" | octagon | \"s\" | square | \"p\" | pentagon | \"\\*\" | star\n",
+ "\"|\" | vertical line| \"\\_\" | horizontal line | \"h\" | hexagon1 | \"H\" | hexagon2\n",
+ "0 | tickleft | 4 | caretleft | \"<\" | triangle_left | \"3\" | tri_left\n",
+ "1 | tickright | 5 | caretright | \">\" | triangle_right| \"4\" | tri_right\n",
+ "2 | tickup | 6 | caretup | \"^\" | triangle_up | \"2\" | tri_up\n",
+ "3 | tickdown | 7 | caretdown | \"v\" | triangle_down | \"1\" | tri_down\n",
+ "\"None\" | nothing | `None` | default | \" \" | nothing | \"\" | nothing"
]
},
{
@@ -512,8 +512,8 @@
"source": [
"mpl.rc('axes', prop_cycle=cycler('color', ['r', 'orange', 'c', 'y']) +\n",
" cycler('hatch', ['x', 'xx-', '+O.', '*']))\n",
- "x = np.array([0.4, 0.2, 0.5, 0.8, 0.6])\n",
- "y = [0, -5, -6, -5, 0]\n",
+ "x = np.array([0.7, 0.3, 0.385, 0.6153, 0.7, np.nan, 0.6, 0.4, 0.2, 0.5, 0.8, 0.6])\n",
+ "y = [0.65, 0.65, 0.1, 0.1, 0.65, np.nan, 0, 0, -5, -6, -5, 0]\n",
"plt.fill(x+1, y)\n",
"plt.fill(x+2, y)\n",
"plt.fill(x+3, y)\n",
@@ -607,9 +607,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.5"
+ "version": "3.7.3"
}
},
"nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 2
}
diff --git a/assets/bivariate_normal.npy b/assets/bivariate_normal.npy
new file mode 100644
index 0000000..b6b8dac
Binary files /dev/null and b/assets/bivariate_normal.npy differ
diff --git a/solutions/2.2-vmin_vmax_imshow_and_colorbars.py b/solutions/2.2-vmin_vmax_imshow_and_colorbars.py
index 2bc76a8..208e6ea 100644
--- a/solutions/2.2-vmin_vmax_imshow_and_colorbars.py
+++ b/solutions/2.2-vmin_vmax_imshow_and_colorbars.py
@@ -15,6 +15,7 @@
# Now you're on your own!
for ax, data in zip(axes, [data1, data2, data3]):
+ # Display data, explicitly making the colormap cover values from 0 to 3
im = ax.imshow(data, vmin=0, vmax=3, interpolation='nearest')
fig.colorbar(im, cax=cax, orientation='horizontal')
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