I have two csv files, I want to join them using a key value, the column of the city.
One csv file, d01.csv has this form,
Barcelona, 19.5, 29.5
Tarragona, 20.4, 31.5
Girona, 17.2, 32.5
Lleida, 16.5, 33.5
Vic, 17.5, 31.4
The other one, d02.csv, has the next structure,
City, Data, TMax, TMin
Barcelona, 20140916, 19.9, 28.5
Tarragona, 20140916, 21.4, 30.5
Lleida, 20140916, 17.5, 32.5
Tortosa, 20140916, 20.5, 30.4
I need a new csv file, with a column of cities which appear in the 2 csv files.
City, Tmin, Tmax, Date, Tmin1, Tmax1
Barcelona, 19.5, 29.5, 20140916, 19.9, 28.5
Tarragona, 20.4, 31.5, 20140916, 21.4, 30.5
Girona, 17.2, 32.5, 20140916, 17.5, 32.5
Lleida, 16.5, 33.5, 20140916, 20.5, 30.4
I tried to do that with
join -j 2 -t ',' d01.csv d02.csv | awk -F "," '{print $1, $2, $3, $4, $5} > d03.csv
but it is not complete...how can I order the key value?
Practical Data Science using Python To merge all CSV files, use the GLOB module. The os. path. join() method is used inside the concat() to merge the CSV files together.
Option 1: Command Prompt If you are a Windows user, you can use the built-in Command Prompt to combine CSV files. Command Prompt is a text interface for your computer. You can type simple commands to merge files. First, put all of your CSV files in a folder and copy the full path of your folder.
Here's how to use join in bash:
{
echo "City, Tmin, Tmax, Date, Tmin1, Tmax1"
join -t, <(sort d01.csv) <(sed 1d d02.csv | sort)
} > d03.csv
cat d03.csv
City, Tmin, Tmax, Date, Tmin1, Tmax1
Barcelona, 19.5, 29.5, 20140916, 19.9, 28.5
Lleida, 16.5, 33.5 , 20140916, 17.5, 32.5
Tarragona, 20.4, 31.5 , 20140916, 21.4, 30.5
Note that join only outputs records where the key exists in both files. To get all of them, specify that you want missing records from both files, specify the fields you want, and give a default value for the missing fields:
join -t, -a1 -a2 -o 0,1.2,1.3,2.2,2.3,2.4 -e '?' <(sort d01.csv) <(sed 1d d02.csv | sort)
Barcelona, 19.5, 29.5, 20140916, 19.9, 28.5
Girona, 17.2, 32.5,?,?,?
Lleida, 16.5, 33.5 , 20140916, 17.5, 32.5
Tarragona, 20.4, 31.5 , 20140916, 21.4, 30.5
Tortosa,?,?, 20140916, 20.5, 30.4
Vic, 17.5, 31.4,?,?,?
I suggest the CSV Cruncher which takes CSV files as SQL tables and then allows SQL queries, resulting in another CSV file.
Example:
crunch input.csv output.csv \
"SELECT AVG(duration) AS durAvg FROM (SELECT * FROM indata ORDER BY duration LIMIT 2 OFFSET 6)"
The tool needs Java 5 or later.
Some of the advantages:
join
-based solutions.Disclaimer: I wrote that tool. Unknown project state - Google Code was closed and I didn't transfer it soon enough. I might have a look at it if someone is insterested.
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