From cc18009fcfc0daf8655713e32d48cd78ccfc5c0d Mon Sep 17 00:00:00 2001 From: Miguel Felipe Silva Vasconcelos Date: Fri, 26 Feb 2021 00:43:47 +0100 Subject: [PATCH] exercise 2 - module 2 --- module2/exo2/exercice_python_en.org | 136 ++++++++++++++-------------- 1 file changed, 67 insertions(+), 69 deletions(-) diff --git a/module2/exo2/exercice_python_en.org b/module2/exo2/exercice_python_en.org index 5782f49..69c8893 100644 --- a/module2/exo2/exercice_python_en.org +++ b/module2/exo2/exercice_python_en.org @@ -1,6 +1,6 @@ -#+TITLE: Your title -#+AUTHOR: Your name -#+DATE: Today's date +#+TITLE: Exercise 2 - Simple calculation +#+AUTHOR: Miguel Felipe Silva Vasconcelos +#+DATE: 26-02-2021 #+LANGUAGE: en # #+PROPERTY: header-args :eval never-export @@ -11,84 +11,82 @@ #+HTML_HEAD: #+HTML_HEAD: -* Some explanations -This is an org-mode document with code examples in R. Once opened in -Emacs, this document can easily be exported to HTML, PDF, and Office -formats. For more information on org-mode, see -https://orgmode.org/guide/. +* Reading input +Creating the data structure to store the following numbers: +#+begin_src + + 14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, + 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, + 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, + 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, + 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, + 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, + 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 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, 21.0 +#+end_src + + +#+begin_src python :results value :session *python* :exports both +import numpy as np +array = np.array([14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, + 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, + 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, + 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, + 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, + 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, + 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 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, 21.0]) +#+end_src + +#+RESULTS: + -When you type the shortcut =C-c C-e h o=, this document will be -exported as HTML. All the code in it will be re-executed, and the -results will be retrieved and included into the exported document. If -you do not want to re-execute all code each time, you can delete the # -and the space before ~#+PROPERTY:~ in the header of this document. -Like we showed in the video, Python code is included as follows (and -is exxecuted by typing ~C-c C-c~): +* Calculating the average/mean +We can use numpy's [[https://numpy.org/doc/stable/reference/generated/numpy.average.html#numpy.average][average method]] -#+begin_src python :results output :exports both -print("Hello world!") +#+begin_src python :results value :session *python* :exports both +np.average(array) #+end_src #+RESULTS: -: Hello world! +: 14.113000000000001 -And now the same but in an Python session. With a session, Python's -state, i.e. the values of all the variables, remains persistent from -one code block to the next. The code is still executed using ~C-c -C-c~. +* Calculating the standard deviation +We can use numpy's [[https://numpy.org/doc/stable/reference/generated/numpy.std.html#numpy.std][std method]] +#+begin_src python :results value :session *python* :exports both +np.std(array, ddof=1) +#+end_src + +#+RESULTS: +: 4.334094455301447 + +* Calculating the median +We can use numpy's [[https://numpy.org/doc/stable/reference/generated/numpy.median.html#numpy.median][median method]] +#+begin_src python :results value :session *python* :exports both +np.median(array) +#+end_src + +#+RESULTS: +: 14.5 -#+begin_src python :results output :session :exports both -import numpy -x=numpy.linspace(-15,15) -print(x) +* Finding the minimum value +We can use numpy's min method +#+begin_src python :results value :session *python* :exports both +np.min(array) #+end_src #+RESULTS: -#+begin_example -[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041 - -11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592 - -8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143 - -5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694 - -2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245 - 0.30612245 0.91836735 1.53061224 2.14285714 2.75510204 - 3.36734694 3.97959184 4.59183673 5.20408163 5.81632653 - 6.42857143 7.04081633 7.65306122 8.26530612 8.87755102 - 9.48979592 10.10204082 10.71428571 11.32653061 11.93877551 - 12.55102041 13.16326531 13.7755102 14.3877551 15. ] -#+end_example - -Finally, an example for graphical output: -#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results -import matplotlib.pyplot as plt - -plt.figure(figsize=(10,5)) -plt.plot(x,numpy.cos(x)/x) -plt.tight_layout() - -plt.savefig(matplot_lib_filename) -print(matplot_lib_filename) +: 2.8 + +* Finding the max value +We can use numpy's max method +#+begin_src python :results value :session *python* :exports both +np.max(array) #+end_src #+RESULTS: -[[file:./cosxsx.png]] - -Note the parameter ~:exports results~, which indicates that the code -will not appear in the exported document. We recommend that in the -context of this MOOC, you always leave this parameter setting as -~:exports both~, because we want your analyses to be perfectly -transparent and reproducible. - -Watch out: the figure generated by the code block is /not/ stored in -the org document. It's a plain file, here named ~cosxsx.png~. You have -to commit it explicitly if you want your analysis to be legible and -understandable on GitLab. - -Finally, don't forget that we provide in the resource section of this -MOOC a configuration with a few keyboard shortcuts that allow you to -quickly create code blocks in Python by typing ~