/Python/Pandas apply function to every row

Pandas apply function to every row

Pandas loop through rows

for index, row in df.iterrows():
    print(row['c1'], row['c2'])

Output: 
   10 100
   11 110
   12 120

Source: stackoverflow.com

Pandas apply function to every row

# Get rid of $ and , in the SAL-RATE, then convert it to a float
def money_to_float(money_str):
    return float(money_str.replace("$","").replace(",",""))

df['SAL-RATE'].apply(money_to_float)

Source: jonathansoma.com

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)
df

Source: stackoverflow.com

Similar codes

0 vote181 views2 answers
Pandas split column with tuple
Python
0 vote174 views1 answer
How to set and run flask app on terminal
Python Flask
1 vote146 views1 answer
Multiple pdf in a directory to csv python
Python
0 vote137 views1 answer
UserWarning: Failed to initialize NumPy: numpy.core.multiarray failed to import (Triggered internally at
Python
0 vote134 views1 answer
Python greater than dunder
Python
3 votes196 views1 answer
Django user group check
Python
8 votes150 views3 answers
Python csv add row
Python
29 votes149 views3 answers
System calls in python
Python
0 vote159 views1 answer
Numpy substract subsequent elements
Python
4 votes143 views3 answers
OSError: [Errno 98] Address already in use
Python