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wip

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wea_ondara
2021-03-22 20:30:32 +01:00
parent 316fed8283
commit 52d7ddb7fc
9 changed files with 270 additions and 36 deletions
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13
votesits.py
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@@ -8,13 +8,12 @@ from datetime import datetime
from datetime import timedelta
from dateutil.relativedelta import relativedelta
from common import calc_intervals, printnoln, rprint, DAYS_NEW_USER, FIG_SIZE, difftime
from common import calc_intervals, printnoln, rprint, DAYS_NEW_USER, FIG_SIZE, CHANGE_DATE, difftime
from loader import load, dmt, cms, readVotes
from sentiments import readtoxleveltxt
colors = ['red', 'green', 'blue', 'orange', 'deeppink']
thresholds = [6, 9, 12, 15]
changedate = datetime.fromisoformat("2018-09-01T00:00:00")
def main(folder, intervl):
@@ -76,7 +75,7 @@ def main(folder, intervl):
print("Computing full ITS")
t = np.reshape(np.array([i for i in range(len(datasingle)) for j in datasingle[i]]), (-1, 1))
x = np.reshape(np.array([(0 if intervals[i][0] <= changedate else 1) for i in range(len(datasingle)) for j in datasingle[i]]), (-1, 1))
x = np.reshape(np.array([(0 if intervals[i][0] <= CHANGE_DATE else 1) for i in range(len(datasingle)) for j in datasingle[i]]), (-1, 1))
X = np.array(t)
X = np.concatenate((X, x), 1)
X = np.concatenate((X, np.multiply(t, x)), 1)
@@ -97,14 +96,14 @@ def main(folder, intervl):
thresp = []
print("Computing threshold ITS")
for ti in thresholds:
# print(1, changedate - relativedelta(months=ti))
# print(2, changedate + relativedelta(months=ti))
z = [(i, x) for (i, x) in zip(intervals, datasingle) if i[0] >= changedate - relativedelta(months=ti) and i[1] <= changedate + relativedelta(months=ti)]
# print(1, CHANGE_DATE - relativedelta(months=ti))
# print(2, CHANGE_DATE + relativedelta(months=ti))
z = [(i, x) for (i, x) in zip(intervals, datasingle) if i[0] >= CHANGE_DATE - relativedelta(months=ti) and i[1] <= CHANGE_DATE + relativedelta(months=ti)]
iv = [i for (i, x) in z]
# print("iv " + str(iv))
d = [x for (i, x) in z]
t = np.reshape(np.array([i for i in range(len(d)) for j in d[i]]), (-1, 1))
x = np.reshape(np.array([(0 if iv[i][0] <= changedate else 1) for i in range(len(d)) for j in d[i]]), (-1, 1))
x = np.reshape(np.array([(0 if iv[i][0] <= CHANGE_DATE else 1) for i in range(len(d)) for j in d[i]]), (-1, 1))
X = np.array(t)
X = np.concatenate((X, x), 1)
X = np.concatenate((X, np.multiply(t, x)), 1)