def set_lang(self, lang):
settings.apply_settings(lang=lang)
for i in self.walk():
try:
i.text = language_pack().text(i.text)
except:
pass
def load_conf(
self,
name,
dbname,
):
settings.refresh()
global db
if dbname == "Almanca" or "German":
dbname = "German"
if name == "":
return False
settings.apply_settings(nm=name, )
db = database(dbname.capitalize() + "-" + settings.language)
return True
def set_learnlimit(self, param):
if param == "az":
settings.apply_settings(lm=5)
if param == "orta":
settings.apply_settings(lm=10)
if param == "c*k":
settings.apply_settings(lm=20)
from docopt import docopt
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
from pylab import *
import settings
from utils import common_settings
if __name__ == "__main__":
args = docopt(__doc__, version='Plot 0.1')
sys.argv = [sys.argv[0]] + args['DATAFILE']
if args['--plotstyle']:
settings.apply_settings(mpl, args['--plotstyle'])
finput = fileinput.FileInput(openhook=fileinput.hook_compressed)
#x, y = zip(*(map(float, row) for row in csv.reader(finput)))
data = loadtxt(finput, delimiter=",")
common_settings(args, plt)
data = data+1
left, right = min(data[:,0]), max(data[:,0])
top, bottom = min(data[:,1]), max(data[:,1])
if not args['--nbins']:
args['--nbins'] = 1+ np.log2(len(data))
if args['--logbin']:
binsx = np.logspace(np.log(left), np.log(right), int(args['--nbins']))
binsy = np.logspace(np.log(top), np.log(bottom), int(args['--nbins']))
else:
bins = np.linspace(left, right, int(args['--nbins']))
def set_lang(self, langg):
settings.apply_settings(lang=langg)
settings.refresh()
def set_dict(self, lang):
settings.apply_settings(dict="German")
from __future__ import print_function
import csv
import sys
import docopt
import numpy as np
import matplotlib as mpl
mpl.use('Pdf')
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
from pylab import *
import itertools
import settings
settings.apply_settings(mpl)
import fileinput
def readcsvcols(col, fileName, *args, **kwargs):
out = []
reader = csv.reader(*args, **kwargs)
for row in reader:
try:
value = float(row[col])
#trs = float(row[2])
out.append(value)
except:
#print ("Warning, data format could not be parsed for row: ", row)
continue
return out