A lean tool for obtaining statistics on flat data files
[prompt]$ python data_statistics.py --help
Usage: data_statistics.py [OPTIONS]
A lean tool for obtaining statistics on flat data files output can be text
or html
Options:
-i, --input_file TEXT input file (with suffixes: csv,xlsx)
-f, --output_format [HTML|H|TEXT|T]
otuput format (HTML|H|TEXT|T) - default is
html)
-D, --output_dir TEXT DIR_NAME output dirctory name)
-v, --verbose verbose mode
--help Show this message and exit.
prompt> python data_statistics.py -i "TestData\iris.data.csv" -D "d:\tmp\dout" -v
data was loaded from TestData\iris.data.csv
report_name: iris.data.csv
input_file: 'H:\DataMining\TestData\iris.data.csv'
fig dir : 'd:\tmp\dout\Fig\'
out_file : 'd:\tmp\dout\report.html'
plot path: 'd:\tmp\dout\Fig\scatter_matrix-class.png'
plot path: 'd:\tmp\dout\Fig\sepal length.png'
plot path: 'd:\tmp\dout\Fig\sepal width.png'
plot path: 'd:\tmp\dout\Fig\petal length.png'
plot path: 'd:\tmp\dout\Fig\petal width.png'
plot path: 'd:\tmp\dout\Fig\class.png'
out file: 'd:\tmp\dout\report.html'