wip
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6
its.py
6
its.py
@@ -12,7 +12,7 @@ from loader import load, dmt, cms
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from sentiments import readtoxleveltxt
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colors = ['red', 'green', 'blue', 'orange', 'deeppink']
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thresholds = [3, 4, 5, 6]
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thresholds = [6, 9, 12, 15]
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changedate = datetime.fromisoformat("2018-09-01T00:00:00")
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@@ -72,7 +72,7 @@ def main(folder, intervl):
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print("Computing full ITS")
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t = np.reshape(np.array([i for i in range(len(datasingle)) for j in datasingle[i]]), (-1, 1))
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x = np.reshape(np.array([(0 if intervals[i][1] <= changedate else 1) for i in range(len(datasingle)) for j in datasingle[i]]), (-1, 1))
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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))
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X = np.array(t)
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X = np.concatenate((X, x), 1)
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X = np.concatenate((X, np.multiply(t, x)), 1)
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@@ -100,7 +100,7 @@ def main(folder, intervl):
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# print("iv " + str(iv))
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d = [x for (i, x) in z]
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t = np.reshape(np.array([i for i in range(len(d)) for j in d[i]]), (-1, 1))
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x = np.reshape(np.array([(0 if iv[i][1] <= changedate else 1) for i in range(len(d)) for j in d[i]]), (-1, 1))
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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))
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X = np.array(t)
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X = np.concatenate((X, x), 1)
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X = np.concatenate((X, np.multiply(t, x)), 1)
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2
votes.py
2
votes.py
@@ -94,7 +94,7 @@ def main(folder, intervl):
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# votes over time
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votes = readVotes(folder)
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fig = plt.figure(figsize=FIG_SIZE)
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ivs = [(datetime.fromisoformat("2010-01-01T00:00:00"), datetime.fromisoformat(str(y) + "-01-01T00:00:00")) for y in range(2011, 2020)]
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ivs = [(datetime.fromisoformat("2010-01-01T00:00:00"), datetime.fromisoformat(str(y) + "-01-01T00:00:00")) for y in range(2011, 2021)]
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for interval in ivs:
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print(interval[0].strftime("%d-%m-%Y") + " to " + interval[1].strftime("%d-%m-%Y"))
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ivvotes = dmt(votes).filter(lambda v: interval[0] <= v['CreationDate'] < interval[1]).getresults()
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