I hereby claim:
- I am rsnape on github.
- I am snapey (https://keybase.io/snapey) on keybase.
- I have a public key whose fingerprint is 64BC F1D9 9DBE FFA0 2B10 9C22 19F0 B086 51E8 132F
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
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"It looks like you want us to write some code for you. While many users are willing to produce code for a coder in distress, they usually only help when the poster has already tried to solve the problem on their own. A good way to demonstrate this effort is to include the code you've written so far, example input (if there is any), the expected output, and the output you actually get (console output, tracebacks, etc.). The more detail you provide, the more answers you are likely to receive. Check the [FAQ] and [ask].", |
import timeit | |
def to_base_7(n): | |
""" | |
Express an int as a base 7 string | |
If libraries are allowed - numpy.base_repr() | |
would almost certainly be faster | |
""" | |
s, n = [], int(n) | |
while n > 7: |
import wx | |
#from wx.lib.pubsub.core import Publisher #If you want to manage your own publisher use this | |
from wx.lib.pubsub import pub | |
import threading | |
class ParcelData(object): | |
def __init__(self,count,current,message): | |
self.parcel_count = count | |
self.current_parcel = current | |
self.message = message |
import numpy as np | |
from sklearn.utils import check_array | |
ut = np.memmap('D:\\my_array2.mmap', dtype=np.float16, mode='w+', shape=(140000,3504)) | |
print repr(ut), ut.shape | |
res = check_array(ut) | |
print 'Memory check passed',repr(res),res.shape #This will print the same contents and shape as above | |
res = check_array(ut, dtype=np.float) # This is the actual line used in IncrementalPCA | |
# https://github.com/scikit-learn/scikit-learn/blob/0.16.X/sklearn/decomposition/incremental_pca.py#L165 |
from math import radians, sin, cos, sqrt, asin, factorial | |
from itertools import combinations, permutations | |
# by average circumference instead of authalic radius (assume planes) | |
# shouldn't actually matter for our purposes as we're using this to generate weights | |
# been nodes/vertices. | |
EARTH_RADIUS_KM = 6372.8 | |
def haversine(lat1, long1, lat2, long2, planet_radius=EARTH_RADIUS_KM): |
import pandas, pdb, os, csv, datetime, numpy, brewer2mpl | |
import matplotlib.pyplot as plt | |
import matplotlib.colorbar as cbar | |
from matplotlib import rcParams | |
import palettable | |
from dateutil import rrule | |
import matplotlib | |
import calendar | |
def set_matplotlib_params(): |
# Natural Language Toolkit: Clusterer Utilities | |
# | |
# Copyright (C) 2001-2014 NLTK Project | |
# Author: Trevor Cohn <[email protected]> | |
# URL: <http://nltk.org/> | |
# For license information, see LICENSE.TXT | |
from __future__ import print_function, unicode_literals | |
import copy | |
from sys import stdout |