pandas apply function to each row lambda
def EOQ(D,p,ck,ch):
Q = math.sqrt((2*D*ck)/(ch*p))
return Q
ch=0.2
ck=5
df['Q'] = df.apply(lambda row: EOQ(row['D'], row['p'], ck, ch), axis=1)
dfpandas apply function to each row lambda
def EOQ(D,p,ck,ch):
Q = math.sqrt((2*D*ck)/(ch*p))
return Q
ch=0.2
ck=5
df['Q'] = df.apply(lambda row: EOQ(row['D'], row['p'], ck, ch), axis=1)
dfpython apply function to list
# N. B. myfunction must be able to take as argument the elements of the list
def myfunction(x):
# process x
return #some results
# declare your list
l1 = list(...)
# get a list with the transformed values according to myfunction
l2 = list(map(myfunction, l1))use apply with lambda pandas
df.apply(lambda x: func(x['col1'],x['col2']),axis=1)Copyright © 2021 Codeinu
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