PHP - Manipulating data from csv in a loop

PHP - Manipulating data from csv in a loop

By : Alba Ram
Date : November 20 2020, 03:01 PM
To fix the issue you can do You don't need to specify the $i inside the products array, that points to each column without taking lines into account.
You need to explode by lines \n and then by comma for each line (product).
code :
$data= file('products.dat');

foreach ($data as $line){
    $product = explode(",",$line);
    $id = $product[0];
    $title = $product[1];
    $price = $product[2];
    $description = $product[3];
    $image = $product[4];

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Manipulating some data inside an each loop

Manipulating some data inside an each loop

By : Krish
Date : March 29 2020, 07:55 AM
wish help you to fix your issue name would be available as a variable within the handlebar tags.
The following should work.
code :
<a href="/{{toLowerCase name }}">{{name}}</a>
C# manipulating strings in a loop

C# manipulating strings in a loop

By : Ishita Deshpande
Date : March 29 2020, 07:55 AM
I wish did fix the issue. Don't loop over each character of the encoded input as you will end up processing each character twice. You are already counting up and down the string with the len and len2 variables so if you replace the foreach with:
code :
while (len > len2)
            if (len == len2)
        while (len > len2)
            lastChar = encodedInput[len - 1];

            if (len == len2)

            firstChar = encodedInput[len2];
Manipulating only the first row of a foreach loop and manipulating all rows at the same time

Manipulating only the first row of a foreach loop and manipulating all rows at the same time

Date : March 29 2020, 07:55 AM
it should still fix some issue The problem is that you telling jquery to hide the button with the id="del_photo"
but an id is means to be unique so that won't work in that case and only hide the first one, so you better use the class del_photo
Manipulating dataframe in R without for loop

Manipulating dataframe in R without for loop

By : Fausto Francisco Sol
Date : March 29 2020, 07:55 AM
fixed the issue. Will look into that further Small example of a possible solution. Not sure if this is the most efficient, but it does the trick.
code :
df = data.frame(col1=c(1,1,2,2,3),col2=c(2,2,2,2,2))

df$col3 = ifelse(df$col1==1, df$col2*1.5, df$col3)
df$col3 = ifelse(df$col1==2, df$col2*2.5, df$col3)
df$col3 = ifelse(df$col1==3, df$col2*3.5, df$col3)
Manipulating dataframe without for loop

Manipulating dataframe without for loop

By : Ahad
Date : March 29 2020, 07:55 AM
I hope this helps you . rowSums with the condition that you want is the main idea.
You can use dplyr package to make it cleaner:
code :
df %>% 
 mutate(v4 = rowSums(df[,1:3]>0.00 & df[,1:3]<0.10))%>% 
 mutate(v5 = rowSums(df[,1:3]>0.10 & df[,1:3]<0.50))%>% 
 mutate(v6 = rowSums(df[,1:3]>0.50 & df[,1:3]<0.90))%>% 
 mutate(v7 = rowSums(df[,1:3]>0.90 & df[,1:3]<1.00))

#           v1         v2        v3 v4 v5 v6 v7 
# 1  0.2875775 0.95683335 0.8895393  0  1  1  1 
# 2  0.7883051 0.45333416 0.6928034  0  1  2  0 
# 3  0.4089769 0.67757064 0.6405068  0  1  2  0 
# 4  0.8830174 0.57263340 0.9942698  0  0  2  1 
# 5  0.9404673 0.10292468 0.6557058  0  1  1  1 
# 6  0.0455565 0.89982497 0.7085305  1  0  2  0 
# 7  0.5281055 0.24608773 0.5440660  0  1  2  0 
# 8  0.8924190 0.04205953 0.5941420  1  0  2  0 
# 9  0.5514350 0.32792072 0.2891597  0  2  1  0 
# 10 0.4566147 0.95450365 0.1471136  0  2  0  1
set.seed(123) #to make a reproducible example
df=data.frame(v1=runif(10), v2=runif(10), v3=runif(10), v4=0, v5=0, v6=0, v7=0)
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