Solucionario Chopra Administracion Cadena 26

A:

You can use awk to split each line of output into three fields:
$ awk -F’|’ ‘{print $1, $2, $3}’ file.txt

This separates the fields on each line of input as follows:

The field separator is ‘|’, which is a space or tab by default.
The output of this line is $1, $2, and $3.

From your description, you can see that the output will be something like this:
$1, $2, $3
solucionario chopra administracion cadena suministro · administrador internacional de la cadena de suministro · 2010.04.28 19:54 · fabrikantschaftgutehaus.de ordus 2.7.1.3.1.1.4 · hierrudolfc22

In this example, $1 is the first field, $2 is the second field, and $3 is the third field.
So, instead of the last line which you have in your question, you can do this in awk:
$ awk -F’|’ ‘{print $2, $3, $1}’ file.txt

And that should leave you with the contents you want, although it might not be in quite the same order.
Note that it won’t do any sort of ordering. For that, you could use sort:
$ sort -nk1,1 file.txt | awk -F’|’ ‘{print $2, $3, $1}’

which outputs:
solucionario chopra administracion cadena suministro
administrador internacional de la cadena de suministro
2010.04.28 19:54
fabrikantschaftgutehaus.de ordus 2.7.1.3.1.1.4

(and notes you could use -s instead of -k1,1, but in this case I use -k1,1 because I find it slightly easier to understand).
Now, if you want the first line of each column to be on the same line, you can add a print line to your awk. This would leave you with just:
awk -F’|’ ‘

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A:

What is happening here is that the data_space between the elements of your data_list is not consistent (the last element differs from the first), so all of your “rows” get inserted in the first “row” automatically.
Data_space
You can’t create your CSV file from the data_list the way you want, the structure of the data will always change when using the df.insert() function. If you create the file as you want, i.e. rows with different delimiters, using the write_csv() function you will get a consistent file.
data_list = [[‘a’,’b’],[‘c’,’d’],[‘e’,’f’]]
df = pd.DataFrame(data_list,columns=[‘col1′,’col2′])
df = df.insert(0,’row’,df.index + 1)
df.to_csv(‘your_file_name.csv’,sep=’,’,index=True)

Or you will have to remove the last element from your data before passing it to df.insert(), e.g.
data_list = [[‘a’,’b’],[‘c’,’d’],[‘e’,’f’]]
df = pd.DataFrame(data_list[:-1],columns=[‘col1′,’col2′])
df.insert(0,’row’,df.index + 1)
df.to_csv(‘your_file_name.csv’,sep=’,’,index=True)

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