Outils pour utilisateurs
python:first_course_statistics
Différences
Ci-dessous, les différences entre deux révisions de la page.
| Prochaine révision | Révision précédente Prochaine révision Les deux révisions suivantes | ||
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python:first_course_statistics [2016/10/08 09:09] Francesco Beretta créée |
python:first_course_statistics [2016/10/09 23:12] Francesco Beretta [General instructions] |
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| - | ====== Lessons ====== | ||
| + | ====== General instructions ====== | ||
| + | Read following important documentation about: | ||
| + | * pandas: accessing dataframes (tables) | ||
| + | * [[http://matplotlib.org/api/pyplot_summary.html|matplotlib.pyplot]] | ||
| - | ===== Eruptions of the "Old Faithful" geyser (p.5) ===== | + | Save your scripts in a folder inside the data folder, calling the script folder 'my_scripts' or whaterver. If 'my-scripts' is set as your [[python:generic_features#get_the_current_working_directory_address|current working directory]], then the data files are available under this address '../[data file]', for instantce: '../geyser1.TAB' |
| + | ====== Eruptions of the "Old Faithful" geyser (p.5) ====== | ||
| + | ===== Histogram (p.5) ===== | ||
| + | FB: this script works fine ! | ||
| + | <code python> | ||
| + | import pandas as pd | ||
| + | import matplotlib.pyplot as plt | ||
| + | gys1 = pd.DataFrame(pd.read_csv('../geyser1.TAB', '\t')) | ||
| + | g_int = gys1['Interval'] | ||
| + | ax = plt.gca() | ||
| + | ax.hist(g_int, bins=20, color='r') | ||
| + | ax.set_xlabel('Intereruption time') | ||
| + | ax.set_ylabel('Frequency') | ||
| + | ax.set_title('Histogram') | ||
| + | plt.show() | ||
| + | </code> | ||
| - | ===== International adoption rates (p.13) ===== | + | ====== International adoption rates (p.13) ====== |
python/first_course_statistics.txt · Dernière modification: 2017/09/26 08:54 par Francesco Beretta
