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Encapsulate average_mkn

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Quentin Legot 2023-03-24 11:12:40 +01:00
parent 8d50ce6725
commit 8a556e999a
1 changed files with 18 additions and 14 deletions
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32
plot/main.py
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@ -7,22 +7,26 @@ nb_files = os.listdir(".." + os.sep + "export")
size = len(nb_files)
# main array
averages = np.empty((size, 2))
nb = 0
for i in nb_files:
data = pd.read_csv(".." + os.sep + "export" + os.sep + i, delimiter=';').to_numpy()
rb = data[:, 4]
total = 0.0
for x in rb:
total = total + x
average = total / len(rb)
nb_users = i.split(".")[0]
averages[nb, 0] = int(nb_users)
averages[nb, 1] = average
nb += 1
def mean_mkn() -> np.ndarray:
averages_mkn = np.empty((size, 2))
nb = 0
for i in nb_files:
data = pd.read_csv(".." + os.sep + "export" + os.sep + i, delimiter=';').to_numpy()
rb = data[:, 4]
total = 0.0
for x in rb:
total = total + x
average = total / len(rb)
nb_users = i.split(".")[0]
averages_mkn[nb, 0] = int(nb_users)
averages_mkn[nb, 1] = average
nb += 1
return averages_mkn
averages = mean_mkn()
# Data for plotting
averages.sort(axis=0)
x = averages[:, 0]