"""
report how many days it has been since each developer committed. You
must do an
svn log > log.txt
and place the output next to this file before running
"""
import os, datetime
import matplotlib.cbook as cbook
todate = cbook.todate("%Y-%m-%d")
today = datetime.date.today()
if not os.path.exists("log.txt"):
print('You must place the "svn log" output into a file "log.txt"')
raise SystemExit
parse = False
lastd = dict()
for line in file("log.txt"):
if line.startswith("--------"):
parse = True
continue
if parse:
parts = [part.strip() for part in line.split("|")]
developer = parts[1]
dateparts = parts[2].split(" ")
import pandas
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
import matplotlib.widgets as widgets
converters = {'Date' : cbook.todate('%Y-%m-%d') }
df = pandas.read_csv('data/CROX.csv', converters=converters)
df = df.sort('Date')
df = df[-500:] # get the two years or so
df['daily_return'] = df['Adj Close']/df['Adj Close'].shift(1) - 1
def on_rectangle_select(event_press, event_release):
'args the press and release events'
x1, y1 = event_press.xdata, event_press.ydata
x2, y2 = event_release.xdata, event_release.ydata
print "RECT: (%3.2f, %3.2f) --> (%3.2f, %3.2f)" % (x1, y1, x2, y2)
if x1>x2:
x1, x2 = x2, x1
if y1>y2:
y1, y2 = y2, y1
x = df[xfield]
y = df[yfield]
# find the region of the dataframe in the selection
mask = (x>=x1) & (x<=x2) & (y>=y1) & (y<=y2)
print(df[mask].to_string())
"""
report how many days it has been since each developer committed. You
must do an
svn log > log.txt
and place the output next to this file before running
"""
import os, datetime
import matplotlib.cbook as cbook
todate = cbook.todate('%Y-%m-%d')
today = datetime.date.today()
if not os.path.exists('log.txt'):
print('You must place the "svn log" output into a file "log.txt"')
raise SystemExit
parse = False
lastd = dict()
for line in file('log.txt'):
if line.startswith('--------'):
parse = True
continue
if parse:
parts = [part.strip() for part in line.split('|')]
developer = parts[1]
dateparts = parts[2].split(' ')
import pandas
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
import matplotlib.widgets as widgets
converters = {'Date': cbook.todate('%Y-%m-%d')}
df = pandas.read_csv('data/CROX.csv', converters=converters)
df = df.sort('Date')
df = df[-500:] # get the two years or so
df['daily_return'] = df['Adj Close'] / df['Adj Close'].shift(1) - 1
def on_rectangle_select(event_press, event_release):
'args the press and release events'
x1, y1 = event_press.xdata, event_press.ydata
x2, y2 = event_release.xdata, event_release.ydata
print "RECT: (%3.2f, %3.2f) --> (%3.2f, %3.2f)" % (x1, y1, x2, y2)
if x1 > x2:
x1, x2 = x2, x1
if y1 > y2:
y1, y2 = y2, y1
x = df[xfield]
y = df[yfield]
# find the region of the dataframe in the selection
mask = (x >= x1) & (x <= x2) & (y >= y1) & (y <= y2)
print(df[mask].to_string())
from __future__ import print_function
"""
report how many days it has been since each developer committed. You
must do an
svn log > log.txt
and place the output next to this file before running
"""
import os, datetime
import matplotlib.cbook as cbook
todate = cbook.todate('%Y-%m-%d')
today = datetime.date.today()
if not os.path.exists('log.txt'):
print('You must place the "svn log" output into a file "log.txt"')
raise SystemExit
parse = False
lastd = dict()
for line in file('log.txt'):
if line.startswith('--------'):
parse = True
continue
if parse:
parts = [part.strip() for part in line.split('|')]
developer = parts[1]
