ahlusar1989

[ Launch: Three Circles Setup ] cc617eaa11e8ac77cb3f by ahlusar1989[ Launch: Three Circles Answer ] 6258892 by lewis500[ Launch: Three Circles Answer ] 5565405 by lewis500

ahlusar1989

[ Launch: colorscale ] e66354bd25b0f9abbe87 by ahlusar1989

ahlusar1989

[ Launch: Another Inlet ] aa98d2ec6c87c9a33820 by ahlusar1989

ahlusar1989

[ Launch: Clickable Line Setup ] c4c80b0cfacaf4845b3c by ahlusar1989[ Launch: Clickable Line ] 5565482 by lewis500[ Launch: Clickable Line ] 5565480 by lewis500

ahlusar1989

[ Launch: Ball on Line - Setup ] 97ae2795a7bbf6ee334a by ahlusar1989[ Launch: Tributary inlet ] 5565487 by lewis500 See Previous Inlet [ Gist ]

ahlusar1989

# -*- coding: utf-8 -*-
""" Small script that shows hot to do one hot encoding
    of categorical columns in a pandas DataFrame.

    See:
    http://scikit-learn.org/dev/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder
    http://scikit-learn.org/dev/modules/generated/sklearn.feature_extraction.DictVectorizer.html
"""
import pandas
import random

ahlusar1989

from __future__ import division
from numpy import *

class AdaBoost:

    def __init__(self, training_set):
        self.training_set = training_set
        self.N = len(self.training_set)
        self.weights = ones(self.N)/self.N
        self.RULES = []

ahlusar1989

[ Launch: Electron 1 ] 26109e789eb01a5de6d7 by ahlusar1989

ahlusar1989

Contours of San Francisco overlayed over OpenStreeMap vector tiles using code from mbostock's vector tiles with multiple layers example. View the hi-res file

See gist for code used to generate contours.

ahlusar1989

import multiprocessing
import pandas as pd
import numpy as np

def _apply_df(args):
    df, func, kwargs = args
    return df.apply(func, **kwargs)

def apply_by_multiprocessing(df, func, **kwargs):
    workers = kwargs.pop('workers')