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np.all

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ryaba_ryaba_ answered on June 30, 2020 Popularity 10/10 Helpfulness 2/10

answer np.all

related .all() python numpy

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np.all

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# np.all checks if all of the elements along an axis evaluate to true

a = [x for x in range(0, 10)]
b = np.array(a)
print(np.all(a ==b))

# output is True

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Source: Grepper

Tags: python

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Contributed on Jun 30 2020

ryaba_ryaba_

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.all() python numpy

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df = pd.DataFrame({'Price':[1, 1.2, 1.6, 2.4, 3.5]})
if df['Price'].all() < 10:
    df['Price'] = df['Price'] * 10
print(df)

#output
#
#   Price
#0	10.0
#1	12.0
#2	16.0
#3	24.0
#4	35.0

Popularity 9/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: numpy nump

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Contributed on Aug 30 2022

Pleasant Peccary

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np.all()

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np.all([[True,False],[True,True]], axis=1)
array([ True, False])

Popularity 9/10 Helpfulness 1/10 Language python

Source: numpy.org

Tags: python py

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Contributed on Sep 19 2022

shubham bangde

0 Answers Avg Quality 2/10

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.all() python numpy

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