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Drop Python 2 (woohoo!) and import matplotlib as mpl

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Aurélien Geron
2019-01-16 23:42:00 +08:00
parent ca6eb8c147
commit d2518a679b
8 changed files with 223 additions and 259 deletions
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21
08_dimensionality_reduction.ipynb
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@@ -20,7 +20,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"First, let's make sure this notebook works well in both python 2 and 3, import a few common modules, ensure MatplotLib plots figures inline and prepare a function to save the figures:"
"First, let's import a few common modules, ensure MatplotLib plots figures inline and prepare a function to save the figures. We also check that Python 3.5 or later is installed (although Python 2.x may work, it is deprecated so we strongly recommend you use Python 3 instead)."
]
},
{
@@ -29,8 +29,9 @@
"metadata": {},
"outputs": [],
"source": [
"# To support both python 2 and python 3\n",
"from __future__ import division, print_function, unicode_literals\n",
"# Python ≥3.5 is required\n",
"import sys\n",
"assert sys.version_info >= (3, 5)\n",
"\n",
"# Common imports\n",
"import numpy as np\n",
@@ -41,11 +42,11 @@
"\n",
"# To plot pretty figures\n",
"%matplotlib inline\n",
"import matplotlib\n",
"import matplotlib as mpl\n",
"import matplotlib.pyplot as plt\n",
"plt.rcParams['axes.labelsize'] = 14\n",
"plt.rcParams['xtick.labelsize'] = 12\n",
"plt.rcParams['ytick.labelsize'] = 12\n",
"mpl.rc('axes', labelsize=14)\n",
"mpl.rc('xtick', labelsize=12)\n",
"mpl.rc('ytick', labelsize=12)\n",
"\n",
"# Where to save the figures\n",
"PROJECT_ROOT_DIR = \".\"\n",
@@ -873,7 +874,7 @@
" rimages = images[row * images_per_row : (row + 1) * images_per_row]\n",
" row_images.append(np.concatenate(rimages, axis=1))\n",
" image = np.concatenate(row_images, axis=0)\n",
" plt.imshow(image, cmap = matplotlib.cm.binary, **options)\n",
" plt.imshow(image, cmap = mpl.cm.binary, **options)\n",
" plt.axis(\"off\")"
]
},
@@ -1848,7 +1849,7 @@
"outputs": [],
"source": [
"plt.figure(figsize=(9,9))\n",
"cmap = matplotlib.cm.get_cmap(\"jet\")\n",
"cmap = mpl.cm.get_cmap(\"jet\")\n",
"for digit in (2, 3, 5):\n",
" plt.scatter(X_reduced[y == digit, 0], X_reduced[y == digit, 1], c=[cmap(digit / 9)])\n",
"plt.axis('off')\n",
@@ -1930,7 +1931,7 @@
" neighbors = np.array([[10., 10.]])\n",
" # The rest should be self-explanatory\n",
" plt.figure(figsize=figsize)\n",
" cmap = matplotlib.cm.get_cmap(\"jet\")\n",
" cmap = mpl.cm.get_cmap(\"jet\")\n",
" digits = np.unique(y)\n",
" for digit in digits:\n",
" plt.scatter(X_normalized[y == digit, 0], X_normalized[y == digit, 1], c=[cmap(digit / 9)])\n",