PYTHON

np.all

# 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

a.all() numpy

np.all([[True,False],[True,True]])
False

.all() python numpy

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

np.all()

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