#Test Driven Development

This repository contains several modules that allow:

• computation of the arithemetic mean and standard deviation of a column from stdin
• plotting of this data in a boxplot, histogram, or both using matplotlib

This repository also contains viz.py, a script which combines the modules (math_lib.py, get_data.py, and data_viz.py) which executes all of these with the corresponding input from a user

• math_lib.py

• list_mean Computes and returns arithmetic mean of a list of floats and/or integers. Takes in 1 list arg

• list_stdev Computes and returns standard deviation of a list of floats and/or integers. Takes in 1 list arg

• get_data.py

• read_stdin_col Returns a list of integers and float from a specified column given in stdin. Takes 1 integer to specify column index. (Also needs stdin data)

• data_viz.py

• boxplot, histogram, combo All take arguments of (L, out_file_name). L = list of ints/floats. out_file_name = file in which to save the plot boxplot creates boxplot, histogram creates histogram, combo creates both

• viz.py Writes a data plot, mean, and stdev to an output file given the following informaton/arguments:

Script that takes in 3 required arguments into argparse: --plot_type : plot type (boxplot, histogram, combo ( <- both hist and boxplot )) --out_file_name : name of output file to be created in which the specified plot will be saved --col_num : column number in stdin to read in

For each module:

• math_lib.py

• test_math_lib.py provides unit testing of the list_mean() and list_stdev() methods

• get_data.py

• test_get_data.py provides unit testing of read_stdin_col method

• data_viz.py

• test_data_viz.py provides unit testing of plotting methods (boxplot(), histogram(), combo())

• Python 3.7.4
• matplotlib
• numpy