Breaking News: Grepper is joining You.com. Read the official announcement!

hestia remove php version

Indonesia People answered on August 2, 2022 Popularity 4/10 Helpfulness 1/10

answer hestia remove php version

related pandas apply

hestia remove php version

Comment

v-delete-web-php 7.3

Popularity 4/10 Helpfulness 1/10 Language shell

Source: Grepper

Tags: php shell version

Link to this answer
Share Copy Link

Contributed on Oct 02 2024

Indonesia People

0 Answers Avg Quality 2/10

Closely Related Answers

pandas apply

Comment

import pandas as pd

s = pd.Series([1,2,3,4,5])
  
# adding 5 to each value
new = s.apply(lambda num : num + 5)
  
# printing elements of old and new series
print(s.head().values,"\n",new.head().values)
#  [1 2 3 4 5] 
#  [6 7 8 9 10]

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: apply appl

Link to this answer
Share Copy Link

Contributed on Aug 02 2022

Clean Cottonmouth

0 Answers Avg Quality 2/10

pandas apply

Comment

# This function doubles the input value
def double(x):
  return 2*x
 
# Apply this function to double every value in a specified column
df.column1 = df.column1.apply(double)
 
# Lambda functions can also be supplied to `apply()`
df.column2 = df.column2.apply(lambda x : 3*x)
 
# Applying to a row requires it to be called on the entire DataFrame
df['newColumn'] = df.apply(lambda row: 
  row['column1'] * 1.5 + row['column2'],
  axis=1
)

Popularity 10/10 Helpfulness 3/10 Language python

Source: www.codecademy.com

Tags: pandas-apply pandas-app

Link to this answer
Share Copy Link

Contributed on Aug 03 2023

Wide-eyed Wren

0 Answers Avg Quality 2/10

pandas apply

Comment

import pandas as pd
 
# Function to add
def add_values(row):
    return row['A'] + row['B'] + row['C']
 
def main():
    # Create a dictionary with three fields each
    data = {
        'A': [1, 2, 3],
        'B': [4, 5, 6],
        'C': [7, 8, 9]}
 
    # Convert the dictionary into DataFrame
    df = pd.DataFrame(data)
    print("Original DataFrame:\n", df)
 
    # Apply the user-defined function to every row
    df['add'] = df.apply(add_values, axis=1)
 
    print('\nAfter Applying Function: ')
    # Print the new DataFrame
    print(df)
 
if __name__ == '__main__':
    main()

Popularity 6/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: pandas-apply python

Link to this answer
Share Copy Link

Contributed on Oct 02 2024

Innocent Iguana

0 Answers Avg Quality 2/10

hestia remove php version

Contents

More Related Answers

hestia remove php version

Closely Related Answers

pandas apply

pandas apply

pandas apply

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.