1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
|
"""
A collection of tools for timeseries
:author: Pierre GF Gerard-Marchant & Matt Knox
:contact: pierregm_at_uga_dot_edu - mattknox_ca_at_hotmail_dot_com
:version: $Id: tcore.py 2852 2007-03-20 14:44:08Z mattknox_ca $
"""
__author__ = "Pierre GF Gerard-Marchant & Matt Knox ($Author: mattknox_ca $)"
__version__ = '1.0'
__revision__ = "$Revision: 2852 $"
__date__ = '$Date: 2007-03-20 07:44:08 -0700 (Tue, 20 Mar 2007) $'
import numpy
import numpy.core.numeric as numeric
import maskedarray as MA
#####---------------------------------------------------------------------------
#---- --- Generic functions ---
#####---------------------------------------------------------------------------
def first_unmasked_val(a):
"Returns the first unmasked value in a 1d maskedarray."
(i,j) = MA.extras.flatnotmasked_edges(a)
return a[i]
def last_unmasked_val(a):
"Returns the last unmasked value in a 1d maskedarray."
(i,j) = MA.extras.flatnotmasked_edges(a)
return a[j]
def reverse_dict(d):
"Reverses the keys and values of a dictionary."
alt = []
tmp = [alt.extend([(w,k) for w in v]) for (k,v) in d.iteritems()]
return dict(alt)
#####---------------------------------------------------------------------------
#---- --- Misc functions ---
#####---------------------------------------------------------------------------
#http://aspn.activestate.com/ASPN/Mail/Message/python-tutor/2302348
def flatten_sequence(iterable):
"""Flattens a compound of nested iterables."""
itm = iter(iterable)
for elm in itm:
if hasattr(elm,'__iter__') and not isinstance(elm, basestring):
for f in flatten_sequence(elm):
yield f
else:
yield elm
def flatargs(*args):
"Flattens the arguments."
if not hasattr(args, '__iter__'):
return args
else:
return flatten_sequence(args)
|
