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

1 vote229 views1 answer
Nice python turtle code
Python
1 vote193 views1 answer
Delete last message discord.py
Python
0 vote160 views1 answer
Python message from teams
Python
0 vote161 views1 answer
How to execute queries with cxoracle python
Python
0 vote154 views1 answer
Python pandas how to select range of data
Python
0 vote185 views1 answer
Check if host is reachable python
Python
0 vote174 views1 answer
Python how to geather and spread using pandas
Python
5 votes188 views1 answer
Dataframe from arrays python
Python
0 vote126 views1 answer
Jinja for items in list
Python
26 votes179 views2 answers
Append write python
Python