How to extract columns by name from a file?

How to extract columns by name from a file?

Here is an example to extract columns by name from a file test.csv: Not using awk but the simplest way I was able to get this done was to just use csvtool. I had other use cases as well to use csvtool and it can handle the quotes or delimiters appropriately if they appear within the column data itself.

How to parse CSV files with specific column delimiter?

So given the above, what is the best way to use the CsvHelper library to parse arbitrary csv files (where column delimiter, string enclosure and column indexes are known)? I also need the option to skip first row on csv (sometimes csv contains header row and sometimes they dont).

How to use tab as a field separator in AWK?

-F’ ‘ tells awk to use tab as the field separator. Alternatively, -F’ +’ tells awk to use any sequence of one or more field tabs as a field separator.

How to extract 3 columns from CSV file?

It is a simple problem. I have a csv file with multiple columns I would like to extract 3 columns and save the output to a text file.

Is there any way to extract directly with header names instead of column numbers?

There is no direct function in awk to use field names as column specifiers. I hope this helps. Others have answered your earlier question. For this: As an addendum, is there any way to extract directly with the header names rather than with column numbers?

How to extract specific columns from pandas.dataframe?

I’m trying to use python to read my csv file extract specific columns to a pandas.dataframe and show that dataframe. However, I don’t see the data frame, I receive Series ( [], dtype: object) as an output.

Can you write two lists into two column text file?

The output is both human and machine readable, whereas tabs can generate messy looking output if the precision of the values varies along the column. It also avoids loading the separate csv and numpy libraries, but works with both lists and arrays. You can write two lists into a text file that contains two columns.

How to extract columns from a space separated file in Python?

SEQRES 6 B 80 ALA LEU SER ILE LYS LYS ALA GLN THR PRO GLN GLN TRP SEQRES 7 B 80 LYS PRO HELIX 1 1 THR A 68 SER A 81 1 14 HELIX 2 2 CYS A 97 LEU A 110 1 14 HELIX 3 3 ASN A 122 SER A 133 1 12 […] For example, I’d like to take only the ‘HELIX’ rows and then the 4th, 6th, 7th and 9th columns.

How to insert a column between two columns?

It also has data table compatability: ##### # FUNCTION: InsertDFCol (colName, colData, data, place = 1, before, after) # DESCRIPTION: Takes in a data, a vector of data, a name for that vector and a place to insert this vector into # the data frame as a new column.