Pandas any() and all() function | pandas any vs all

Опубликовано: 09 Октябрь 2024
на канале: technologyCult

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Pandas any() and all() function | pandas any vs all

Pandas any() function
Pandas any() function is used to check whether any element is True over the axis.
It returns False unless there are at least one element with the series that is True.

Pandas all() function
Pandas all() function is used to check whether all elements are True, potentially over an axis.
It returns True unless there are at least one element with the series that is False.

Code Starts Here
===============
import pandas as pd
import numpy as np

pd.Series([False,False]).any()
pd.Series([False,False]).all()

pd.Series([True,False]).any()
pd.Series([True,False]).all()

pd.Series([True,True]).any()
pd.Series([True,True]).all()

X = pd.Series([4,5,1,5,1,9,7])

X.any()
X.all()

any(X)
all(X)

any( X GT 1)
all( X GT 1)

df = pd.DataFrame()

df['x'] = [1,2,39,4,5]
df['y'] = [6,7,8,9,10]

if all(df['x'] LT df['y']):
print('True')
else:
print('False')

df['x'] = [1,2,3,4,5]
df['y'] = [6,7,8,9,10]

if any(df['x'] GT df['y']):
print('True')
else:
print('False')

df = pd.read_csv('train.csv')

a. IF any person is there with age 70, 75, 80
(df.Age == 70).any()
df[df.Age == 70]

(df.Age == 75).any()

(df.Age == 80).any()
df[df.Age == 80]

b. check if any person is travelling without any Fare
(df.Fare == 0).any()
df[df.Fare == 0]
(df.Fare == 0).all()

c. Check if any infant is travelling
(df.Age LT 1).any()
df[df.Age LT 1]

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