In [1]:
# %load https://gist.githubusercontent.com/kidpixo/2ec078d09834b5aa7869/raw/c8812811211dc7cd62f5b530b51b0104f39263ff/ipython%20inizialization
import pandas as pd
import numpy as np
import matplotlib
from matplotlib import pyplot as plt
%matplotlib inline
In [2]:
commits_list = ! git --no-pager log --reverse --oneline
commits = []
for i in commits_list:
sha1 = i.split(' ')[0]
print 'Commit SHA-1 value:',sha1
commits.append(sha1)
In [41]:
import subprocess
path = '/Users/damo_ma/Downloads/github_rep/git_history_visualizer'
p = subprocess.Popen(['git -C '+path+' --no-pager log --reverse --oneline'], stdout=subprocess.PIPE, shell=True)
for line in iter(p.stdout.readline,''):
print line.rstrip()
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all_files = ! git --no-pager log --reverse --name-only --oneline --pretty='format:' | sed '/^$/d' | sort | uniq
git status
A : file AddedD : file DeletedM : file ModifiedS : file is Static (nothing happen)N : file is Non existentSee the official Git - git-log Documentation :
--diff-filter=[(A|C|D|M|R|T|U|X|B)…[*]]
Select only files that are Added (A), Copied (C), Deleted (D), Modified (M), Renamed (R), have their type (i.e. regular file, symlink, submodule, …) changed (T), are Unmerged (U), are Unknown (X), or have had their pairing Broken (B). Any combination of the filter characters (including none) can be used. When * (All-or-none) is added to the combination, all paths are selected if there is any file that matches other criteria in the comparison; if there is no file that matches other criteria, nothing is selected.
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all_filenames = pd.DataFrame(pd.DataFrame(list(all_files)),columns=commits, index=all_files)
all_commits = ! git --no-pager log --reverse --name-status --oneline --pretty='format:COMMIT %h %s' | tr '\t' ' ' | sed -e '/^$/d'
def_states = {
'A' : 0,
'M' : 32,
'S' : 64, # custom value, Static
'D' : 128,
'N' : 128, # custom value, Non existent
}
def_states_explain = {
'A' : 'Added',
'D' : 'Deleted',
'M' : 'Modified',
'S' : 'Static',
'N' : 'Non existent'
}
# fill NaN
all_filenames.fillna('N', inplace=True)
actual_commit = 0
# previous_commit = 0
for i in all_commits:
# set the commit number
if i[0] == 'C':
value = i.split(' ')[1]
# starting at the second commit see which file exist in the previous commit
if actual_commit != int(all_filenames.columns[0]):
previous_commit = actual_commit
actual_commit = value
# assig 1 to file not null un the previous commit
if previous_commit != 0:
all_filenames[actual_commit][
(all_filenames[previous_commit] != 'N') & (all_filenames[previous_commit] != 'D')] = 'S'
# all_filenames[previous_commit][all_filenames[actual_commit] == 'D'] = 'D'
# all_filenames[actual_commit][all_filenames[actual_commit] == 'D'] = 'N'
# print previous_commit,'>',actual_commit
else:
state,value = i.split(' ')
# print ' '*4,'-',state,value
all_filenames.ix[value,actual_commit] = state
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all_commits
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all_filenames
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def_states = {
'A' : 120,
'M' : 180,
'S' : 255, # custom value, Static
'D' : 240,
'N' : 128, # custom value, Non existent
}
history = all_filenames.applymap(lambda x: def_states[x]).values.copy()
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h = history.astype('float')
h[history == 128] = np.nan
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fig = plt.figure(figsize=[10,12])
ax = plt.subplot(111)
for i in range(len(all_files)):
x = range(len(commits))
y = [i for kk in x]
ax.scatter(x, y, s = 500, c=h[i,:], alpha=1, marker='o',linewidths = 3 , cmap = plt.cm.spectral,vmin = 0, vmax = 255)
ax.plot(x, y, lw = 3, c='k', zorder=0)
ax.set_xticks(range(history.shape[1]))
ax.set_xticklabels(all_filenames.columns,rotation=90)
ax.set_xlabel('commits sha-1 (time arrow to the right ->)')
ax.set_xlim([-.5,len(commits)-0.5])
ax.set_ylabel('file names')
ax.set_yticks(range(history.shape[0]))
ax.set_yticklabels(all_filenames.index.tolist())
ax.set_yticks = 0.1
# set 0 to bounding box width
[i.set_linewidth(0.0) for i in ax.spines.itervalues()]
# see http://stackoverflow.com/a/20416681/1435167
# erase x ticks
for tic in ax.xaxis.get_major_ticks():
tic.tick1On = tic.tick2On = False
# tic.label1On = tic.label2On = False
# erase y ticks
for tic in ax.yaxis.get_major_ticks():
tic.tick1On = tic.tick2On = False
# tic.label1On = tic.label2On = False
ax2 = fig.add_axes([0.25, .9, 0.5, 0.075])
colors = np.array(def_states.values()).astype('float')
colors[colors == 128] = np.nan
x = range(len(colors))
y = [1 for kk in x]
ax2.scatter(x, y, s = 500, c=colors, alpha=1, marker='o',linewidths = 3, cmap = plt.cm.spectral,vmin = 0, vmax = 255)
ax2.plot(x, y, lw = 3, c='k', zorder=0)
ax2.set_xticks(x)
ax2.set_xticklabels(def_states_explain.values())
ax2.set_xlabel('Legend')
ax2.set_xlim([-.5,len(x)-0.5])
ax2.set_ylim([0.99,1.01])
# set 0 to bounding box width
[i.set_linewidth(0.0) for i in ax2.spines.itervalues()]
# # see http://stackoverflow.com/a/20416681/1435167
# erase x ticks
for tic in ax2.xaxis.get_major_ticks():
tic.tick1On = tic.tick2On = False
# erase y ticks
for tic in ax2.yaxis.get_major_ticks():
tic.tick1On = tic.tick2On = False
tic.label1On = tic.label2On = False
fig.savefig('/Users/damo_ma/Desktop/test.png')
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# fake legend
a = np.empty([2,len(def_states)])
a[0,:] = [k for k in def_states.itervalues()]
a[1,:] = a[0,:]
plt.imshow(a,interpolation='nearest',cmap = plt.cm.spectral,vmin = 0, vmax = 255 )
plt.xticks(range(len(def_states)), [k for k in def_states.iterkeys()]);
plt.yticks([1], '');
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fig = plt.figure(figsize=[10,10])
plt.imshow(history,interpolation='nearest',cmap = plt.cm.spectral,vmin = 0, vmax = 255 )
plt.xticks(range(history.shape[1]), all_filenames.columns, rotation='vertical');
plt.xlabel('commits sha-1 (time arrow to the right ->)')
plt.ylabel('file names')
plt.yticks(range(history.shape[0]), all_filenames.index.tolist());
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