bognev / summarizer

##Input Pandas dataframe and options to customize output, for example:

• output_type - markdown, html or xlsx
• out filename
• report - 0 - to string, 1 - to file

##Task description The program should take pandas dataframe as input, iterate through each of the columns in the dataframe and based on column datatype, create summary statistics for each, and print them out in a table. Calculated summary could include following items:

• column type
• min, max
• mean, median, mode
• percent of zero rows
• variance and standard deviation
• interquartile range and coefficient of variation
• number of distinct values

##Output A markdown, html or xlsx report with summary statistics

	# sepal length (cm)	# sepal width (cm)	# petal length (cm)	# petal width (cm)	# target
count	150	150	150	150	150
mean	5.84333	3.05733	3.758	1.19933	1
std	0.828066	0.435866	1.7653	0.762238	0.819232
min	4.3	2	1	0.1	0
25%	5.1	2.8	1.6	0.3	0
50%	5.8	3	4.35	1.3	1
75%	6.4	3.3	5.1	1.8	2
max	7.9	4.4	6.9	2.5	2

How to run

git clone https://github.com/bognev/summarizer.git
cd summarizer
python -m pip install ./dist/summarizer_package-0.1.0.tar.gz
chmod +x run.sh && ./run.sh

or

report=1
out="report"
output_type="markdown"
python -u main.py  --report=$report --out=$out --output_type=$output_type