# ``` # extracts the git log, and define: # # - foo.all_commits = the whole git log # - foo.commits = the commits SHA-1 # - foo.all_files = all the unique file ever existed # # # In[19]: import os path = os.getcwd() # put here the desired git repo path gt = ghv.git_history(path) gt.get_history() # ### Visualize the data # # We define a pandas DataFrame to contain all the files (Rows) and the status (Columns). # # This Grid represent the status of each file at each step or commit. # # The inizial stata for all the files is `N` or `Non existent`, they are updated in the sequential reding of `git_history.all_commits` object. # ## Deserialize and structure the data # # The data gather in `githistoryvis.git_history()` object are deserialized and gathered in a pandas DataFrame by the `githistoryvis.definedatamatrix()` method.
# coding: utf-8
import githistoryvis as ghv
# put here the desired git repo path
import os
path = os.getcwd()
# define the obejct linked to your repository
# essentially add the gt.path variable
gt = ghv.git_history(path)
# get the history : define gt.all_commits, gt.commit, gt.all_file
gt.get_history()
# if the git log data are in a file somewhere,
# read the file in a string and pass it
with open('gitoutput', 'r') as file:
data = file.read()
gt.get_history(gitcommitlist=data)
# Here is Pandas needed
# define the datamatrix : define gt.datamatrix,
# a Pandas.Dataurame with categorical columns
gt.definedatamatrix()
# new compact version
gt = ghv.git_history(path, get_history=True, definedatamatrix=True)
# visualization
import matplotlib
from matplotlib import pyplot as plt
# ``` # extracts the git log, and define: # # - foo.all_commits = the whole git log # - foo.commits = the commits SHA-1 # - foo.all_files = all the unique file ever existed # # # In[19]: import os path = os.getcwd() # put here the desired git repo path gt = ghv.git_history(path) gt.get_history() # ### Visualize the data # # We define a pandas DataFrame to contain all the files (Rows) and the status (Columns). # # This Grid represent the status of each file at each step or commit. # # The inizial stata for all the files is `N` or `Non existent`, they are updated in the sequential reding of `git_history.all_commits` object. # ## Deserialize and structure the data # # The data gather in `githistoryvis.git_history()` object are deserialized and gathered in a pandas DataFrame by the `githistoryvis.definedatamatrix()` method.
