Updated to Python 3.6
This commit is contained in:
Roger Labbe committed
1 parent
91be73db4e
commit
9e9121bdfe
1 file changed
+54
-47
@@ -18,17 +18,16 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"from __future__ import division, print_function\n",
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 6,
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"metadata": {
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"scrolled": true
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},
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@@ -40,7 +39,7 @@
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" <style>\n",
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" .output_wrapper, .output {\n",
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" height:auto !important;\n",
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" max-height:100000px; \n",
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" max-height:100000px;\n",
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" }\n",
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" .output_scroll {\n",
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" box-shadow:none !important;\n",
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@@ -53,7 +52,7 @@
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"<IPython.core.display.HTML object>"
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]
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},
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"execution_count": 2,
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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@@ -124,17 +123,19 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
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"image/png": 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truncated
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"text/plain": [
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"<Figure size 900x400 with 1 Axes>"
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"<Figure size 648x288 with 1 Axes>"
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]
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},
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"metadata": {},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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||||
],
|
||||
@@ -252,7 +253,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -262,7 +263,7 @@
|
||||
" [ 2.727, 327.235]])"
|
||||
]
|
||||
},
|
||||
"execution_count": 4,
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -288,7 +289,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -298,7 +299,7 @@
|
||||
" [ 2.182, 261.788]])"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -320,7 +321,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -330,7 +331,7 @@
|
||||
" [6.956, 6.956]])"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -352,17 +353,19 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 11,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 900x400 with 1 Axes>"
|
||||
"<Figure size 648x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
@@ -392,25 +395,27 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"execution_count": 12,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 900x400 with 1 Axes>"
|
||||
"<Figure size 648x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[[10.888 2.922]\n",
|
||||
" [ 2.922 2.259]]\n"
|
||||
"[[10.433 2.934]\n",
|
||||
" [ 2.934 2.317]]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -433,25 +438,27 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"execution_count": 13,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 900x400 with 1 Axes>"
|
||||
"<Figure size 648x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[[1.004 0.001]\n",
|
||||
" [0.001 1.003]]\n"
|
||||
"[[1.005 0.005]\n",
|
||||
" [0.005 1.005]]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -493,19 +500,21 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"execution_count": 14,
|
||||
"metadata": {
|
||||
"scrolled": true
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 900x400 with 1 Axes>"
|
||||
"<Figure size 648x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"metadata": {
|
||||
"needs_background": "light"
|
||||
},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
@@ -539,7 +548,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"execution_count": 15,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -559,7 +568,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"execution_count": 16,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -575,7 +584,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"execution_count": 17,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -591,7 +600,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"execution_count": 18,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -608,7 +617,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 15,
|
||||
"execution_count": 19,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -617,7 +626,7 @@
|
||||
"0.0315"
|
||||
]
|
||||
},
|
||||
"execution_count": 15,
|
||||
"execution_count": 19,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -636,7 +645,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 16,
|
||||
"execution_count": 20,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -649,10 +658,8 @@
|
||||
],
|
||||
"source": [
|
||||
"import scipy\n",
|
||||
"try:\n",
|
||||
" print('{:.4f}'.format(scipy.stats.multivariate_normal(mu, P).pdf(x)))\n",
|
||||
"except:\n",
|
||||
" print('you have an old version of scipy, upgrade it now!')"
|
||||
"from scipy.stats import multivariate_normal\n",
|
||||
"print(f'{multivariate_normal(mu, P).pdf(x):.4f}')\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -1891,7 +1898,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.7.6"
|
||||
"version": "3.7.4"
|
||||
},
|
||||
"widgets": {
|
||||
"application/vnd.jupyter.widget-state+json": {
|
||||
|
||||
Reference in new issue
Block a user