From e9f83107f56841d0c5d7621595cf19e59eca9a24 Mon Sep 17 00:00:00 2001 From: mhjensen Date: Mon, 2 Nov 2020 16:26:03 +0100 Subject: [PATCH] week 45 --- doc/pub/week45/html/._week45-bs005.html | 11 ++++++++++- doc/pub/week45/html/week45-reveal.html | 11 ++++++++++- doc/pub/week45/html/week45-solarized.html | 11 ++++++++++- doc/pub/week45/html/week45.html | 11 ++++++++++- doc/pub/week45/ipynb/ipynb-week45-src.tar.gz | Bin 191 -> 191 bytes doc/pub/week45/ipynb/week45.ipynb | 13 +++++++++++-- doc/src/week45/week45.do.txt | 11 +++++++++++ 7 files changed, 62 insertions(+), 6 deletions(-) diff --git a/doc/pub/week45/html/._week45-bs005.html b/doc/pub/week45/html/._week45-bs005.html index d25c825f9..fce8bb477 100644 --- a/doc/pub/week45/html/._week45-bs005.html +++ b/doc/pub/week45/html/._week45-bs005.html @@ -197,7 +197,16 @@ MathJax.Hub.Config({

-

heads_proba = 0.51
+
# Common imports
+import numpy as np
+import matplotlib
+import matplotlib.pyplot as plt
+from matplotlib.colors import ListedColormap
+plt.rcParams['axes.labelsize'] = 14
+plt.rcParams['xtick.labelsize'] = 12
+plt.rcParams['ytick.labelsize'] = 12
+
+heads_proba = 0.51
 coin_tosses = (np.random.rand(10000, 10) < heads_proba).astype(np.int32)
 cumulative_heads_ratio = np.cumsum(coin_tosses, axis=0) / np.arange(1, 10001).reshape(-1, 1)
 plt.figure(figsize=(8,3.5))
diff --git a/doc/pub/week45/html/week45-reveal.html b/doc/pub/week45/html/week45-reveal.html
index 2c774648a..098fb5483 100644
--- a/doc/pub/week45/html/week45-reveal.html
+++ b/doc/pub/week45/html/week45-reveal.html
@@ -230,7 +230,16 @@ The example here shows how we can implement the coin tossing case, clealry demos
 

 
 
-
heads_proba = 0.51
+
# Common imports
+import numpy as np
+import matplotlib
+import matplotlib.pyplot as plt
+from matplotlib.colors import ListedColormap
+plt.rcParams['axes.labelsize'] = 14
+plt.rcParams['xtick.labelsize'] = 12
+plt.rcParams['ytick.labelsize'] = 12
+
+heads_proba = 0.51
 coin_tosses = (np.random.rand(10000, 10) < heads_proba).astype(np.int32)
 cumulative_heads_ratio = np.cumsum(coin_tosses, axis=0) / np.arange(1, 10001).reshape(-1, 1)
 plt.figure(figsize=(8,3.5))
diff --git a/doc/pub/week45/html/week45-solarized.html b/doc/pub/week45/html/week45-solarized.html
index 57e21a0d0..8195e8ed0 100644
--- a/doc/pub/week45/html/week45-solarized.html
+++ b/doc/pub/week45/html/week45-solarized.html
@@ -219,7 +219,16 @@ The example here shows how we can implement the coin tossing case, clealry demos
 

 
 
-
heads_proba = 0.51
+
# Common imports
+import numpy as np
+import matplotlib
+import matplotlib.pyplot as plt
+from matplotlib.colors import ListedColormap
+plt.rcParams['axes.labelsize'] = 14
+plt.rcParams['xtick.labelsize'] = 12
+plt.rcParams['ytick.labelsize'] = 12
+
+heads_proba = 0.51
 coin_tosses = (np.random.rand(10000, 10) < heads_proba).astype(np.int32)
 cumulative_heads_ratio = np.cumsum(coin_tosses, axis=0) / np.arange(1, 10001).reshape(-1, 1)
 plt.figure(figsize=(8,3.5))
diff --git a/doc/pub/week45/html/week45.html b/doc/pub/week45/html/week45.html
index f6214a740..3cb890ee6 100644
--- a/doc/pub/week45/html/week45.html
+++ b/doc/pub/week45/html/week45.html
@@ -224,7 +224,16 @@ The example here shows how we can implement the coin tossing case, clealry demos
 

 
 
-
heads_proba = 0.51
+
# Common imports
+import numpy as np
+import matplotlib
+import matplotlib.pyplot as plt
+from matplotlib.colors import ListedColormap
+plt.rcParams['axes.labelsize'] = 14
+plt.rcParams['xtick.labelsize'] = 12
+plt.rcParams['ytick.labelsize'] = 12
+
+heads_proba = 0.51
 coin_tosses = (np.random.rand(10000, 10) < heads_proba).astype(np.int32)
 cumulative_heads_ratio = np.cumsum(coin_tosses, axis=0) / np.arange(1, 10001).reshape(-1, 1)
 plt.figure(figsize=(8,3.5))
diff --git a/doc/pub/week45/ipynb/ipynb-week45-src.tar.gz b/doc/pub/week45/ipynb/ipynb-week45-src.tar.gz
index 2e7cca3f414d512e7742c36bc256f3f3245ab0c9..9163b35cbc816b04fdedf505d0becaa708aee95c 100644
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