Module 2 exo 2

module2/exo2/exercice_python_fr.org

@@ -4,6 +4,8 @@
 #+LANGUAGE: fr
 # #+PROPERTY: header-args :eval never-export
 
+#+PROPERTY: mkdirp yes
+
 #+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
 #+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
 #+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
@@ -11,7 +13,7 @@
 #+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
 #+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
 
-Import des données
+* Import des données
 #+begin_src python :results output :session :exports both
 import numpy as np
 
@@ -28,6 +30,7 @@ print(dataSource)
 :  19.6 21.7 11.3 15.  14.3 16.8 14.   6.8  8.2 19.9 20.4 14.6 16.4 18.7
 :  16.8 15.8 20.4 15.8 22.4 16.2 20.3 23.4 12.1 15.5 15.4 18.4 15.7 10.2
 :   8.9 21. ]
+* Partie 1&2
 
 La moyenne :
 #+begin_src python :results output :session :exports both
@@ -69,3 +72,49 @@ print(np.std(dataSource, ddof=1))
 #+RESULTS:
 : 4.334094455301447
 
+* Partie 3
+
+#+begin_src python :session :results file :var matplot_lib_filename="images/sequence.png" :exports both
+import matplotlib.pyplot as plt
+import numpy as np
+
+w = np.arange(0, len(dataSource))
+fig1 = plt.figure(figsize=(5,5))
+plt.plot(list(w), list(dataSource), 'b-')
+
+
+# Parameters
+plt.grid(True)
+plt.tight_layout()
+plt.xlim(0,100)
+plt.ylim(0,25)
+
+plt.savefig(matplot_lib_filename)
+matplot_lib_filename
+
+#+end_src
+
+#+RESULTS:
+[[file:images/sequence.png]]
+#+begin_src python :session :results file :var matplot_lib_filename="images/hist.png" :exports both
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Actual plot
+fig1 = plt.figure()
+plt.hist(list(dataSource), edgecolor='k')
+
+# Parameters
+plt.grid(True)
+plt.tight_layout()
+plt.xlim(0,25)
+plt.ylim(0,25)
+
+# Export the picture
+plt.savefig(matplot_lib_filename)
+matplot_lib_filename
+
+#+end_src
+
+#+RESULTS:
+[[file:images/hist.png]]