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create dictionary without removing duplicates from dataframe

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Healthy Hedgehog answered on November 25, 2020 Popularity 9/10 Helpfulness 2/10

answer create dictionary without removing duplicates from dataframe

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related create dictionary without removing duplicates from dataframe

create dictionary without removing duplicates from dataframe

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df.groupby(level=0).apply(lambda x: x.to_dict('r')).to_dict()
# {'bob': [{'age': 20, 'name': 'bob'}, {'age': 30, 'name': 'bob'}],
#  'jim': [{'age': 25, 'name': 'jim'}]}

Popularity 9/10 Helpfulness 2/10 Language python

Source: stackoverflow.com

Tags: dataframe dictionary python

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Contributed on Nov 25 2020

Healthy Hedgehog

0 Answers Avg Quality 2/10

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python dict remove duplicates where name are not the same

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import itertools
mylist = [{'x':2020 , 'y':20},{'x':2020 , 'y':30},{'x':2021 , 'y':10},{'x':2021 , 'y':5}]
mylist1=[]
for key, group in itertools.groupby(mylist,lambda x:x["x"]):
    max_y=0
    for thing in group:
        max_y=max(max_y,thing["y"])
    mylist1.append({"x":key,"y":max_y})
print(mylist1)

Popularity 10/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: items item

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Contributed on Sep 16 2021

Good Grouse

0 Answers Avg Quality 2/10

create dictionary without removing duplicates from dataframe

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{k: g.to_dict(orient='records') for k, g in df.groupby(level=0)}
# {'bob': [{'age': 20, 'name': 'bob'}, {'age': 30, 'name': 'bob'}],
#  'jim': [{'age': 25, 'name': 'jim'}]}

Popularity 9/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: dataframe data

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Contributed on Nov 25 2020

Healthy Hedgehog

0 Answers Avg Quality 2/10

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create dictionary without removing duplicates from dataframe

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