usage: gen_data [-h] -r rows [-c columns] [-t titles] csvfile  generate csv file with specfied number of rows, and column types.  positional arguments:   csvfile  options:   -h, --help            show this help message and exit   -r rows, --rows rows  number of rows   -c columns, --columns columns                         list of colume type, in this format: "t t t:n ..." where t is type (number), n is column length.   -t titles, --titles titles                         list of column titles  list of supported types: bool=1 int=2 string=3 float=4 date=5 datetime=6 

# clone the repo git clone git@github.com:patfinder/gen_data.git  # move to the tool source folder. then enter below command to setup the tool. # after this, gen_data will become a script command that you can execute directly. $ pip install -e .  # show info of installed script $ pip show gen_data name: gen-data version: 0.0.1 summary: a convinient tool for generating big test data. home-page: https://github.com/patfinder/gen_data/ author: le vuong nguyen author-email: vuong.se@gmail.com license: unknown location: ~/myrepos/gen_data requires:  required-by:  

# Show Help for the command $ gen_data --help  # Run sample command to generate csv with 5 rows # and columns of (int, string, string with length of 20, int) and column titles $ gen_data f1.csv -r 5 -c"1,3,3:20,2" -t"is_active,name,job_desc,score"  # Sample output of above command is f1.csv with below content $ cat f1.csv  id,is_active,name,job_desc,score 1,False,Louis Martinez,Really tonight we.,559 2,True,Larry Williams,Moment word camera.,845 3,True,Brandon Williams,Wear your consumer.,677 4,False,Chelsea Zamora,Identify itself let.,384 5,True,Jonathan Collier MD,Offer popular.,502