Pandas apply return dataframe

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

Pandas apply return dataframe

import pandas as pd

df_test = pd.DataFrame([
  {'dir': '/Users/uname1', 'size': 994933},
  {'dir': '/Users/uname2', 'size': 109338711},
])

def sizes(s):
  a = locale.format_string("%.1f", s['size'] / 1024.0, grouping=True) + ' KB'
  b = locale.format_string("%.1f", s['size'] / 1024.0 ** 2, grouping=True) + ' MB'
  c = locale.format_string("%.1f", s['size'] / 1024.0 ** 3, grouping=True) + ' GB'
  return a, b, c

df_test[['size_kb', 'size_mb', 'size_gb']] = df_test.apply(sizes, axis=1, result_type="expand")

Source: stackoverflow.com

Similar codes

0 vote147 views1 answer
Django order by foreign key count
Python Django
2 votes81 views2 answers
Int' object is not subscriptable in python
Python
0 vote98 views1 answer
Read a png file in python
Python
0 vote129 views1 answer
Rolling std dev of a pandas series
Python
-1 vote138 views1 answer
Django filter on related field
Python
0 vote118 views1 answer
For loop pattern in python stack overflow
Python
5 votes117 views1 answer
Last element in list py
Python
1 vote128 views1 answer
How to print alternate numbers in python
Python
1 vote111 views3 answers
Isprime in python
Python
13 votes116 views4 answers
Pandas list to df
Python