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Modif #25

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cae4ed6
Update DataFrame_Groupby.py "Modif author name"
FloLad38 Apr 7, 2025
427965d
"Many changes on compatibility done"
FloLad38 Apr 7, 2025
849c428
retour à la version de base
FloLad38 Apr 7, 2025
37592cb
another one
FloLad38 Apr 7, 2025
f2448fb
Update DataFrame_pivot_table.py
Hanaell Apr 7, 2025
3ffaf71
mis à jour
FloLad38 Apr 7, 2025
d24dd30
Update DataFrame_pivot_table.py
FloLad38 Apr 7, 2025
e9ff965
Merge branch 'master' into master
Hanaell Apr 7, 2025
cc9f78c
Update DataFrame_Groupby.py
FloLad38 Apr 7, 2025
47d9640
Update DataFrame_Groupby.py
Hanaell Apr 7, 2025
4f76e70
Merge branch 'master' into patch-1
FloLad38 Apr 7, 2025
a44ed76
Merge pull request #1 from FloLad38/patch-1
Hanaell Apr 7, 2025
797feba
Update DataFrame_Groupby.py
Hanaell Apr 7, 2025
449ea94
Update DataFrame_Groupby.py
Hanaell Apr 7, 2025
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7 changes: 4 additions & 3 deletions DataFrame_Groupby.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
# -*- coding: utf-8 -*-
__author__ = 'Who ?'

__author__ = 'Floflo c'est le plus beau'


import pandas as pd
import numpy as np
Expand Down Expand Up @@ -62,5 +63,5 @@ def cloneDF(df):
# Sort data ratings by created field (groupby + lambda function + sorted)
sortRatingsField = cloneDF(mergeRatings)
sortRatingsField = sortRatingsField.groupby(['movie_id', 'title'])['rating'].agg(
COUNT=np.size, myAVG=lambda x: x.sum() / float(x.count())).sort('COUNT', ascending=False)
COUNT=np.size, myAVG=lambda x: x.sum() / float(x.count())).sort_values ('COUNT', ascending=False)
print('My info sorted: \n%s' % sortRatingsField[:15])
2 changes: 1 addition & 1 deletion DataFrame_pivot_table.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
# -*- coding: utf-8 -*-
__author__ = 'Who ?'
__author__ = 'Hanaell'

import pandas as pd
import numpy as np
Expand Down