aita

foreign-regexp

正規表現をたしかめる:	M-x re-builder
正規表現をコピーする:	C-c C-w
re-builderの終了:	C-c C-q
正規表現を用いて置換:	M-s M-% （foreign-regexp/query-replace）

aita

# -*- coding: utf-8 -*-
import sys, math
from collections import defaultdict
import requests
from lxml import etree

APP_ID = '*****'
API_URL = "http://jlp.yahooapis.jp/MAService/V1/parse";
DEFAULT_FILTER = (1,2,3,4,5,9,10)

aita

import csv
import math
import numpy as np
import matplotlib.pyplot as plt
from collections import defaultdict

DATA = [
    (400, 60),
    (15, 30),
    (480, 365),

aita

import csv
import math
import numpy as np
import matplotlib.pyplot as plt
from collections import defaultdict

DATA = [
    (400, 60),
    (15, 30),
    (480, 365),

aita

import numpy as np
from scipy.stats import gmean

d1 = [2,4,5,7]
d2 = [2,4,5,70]

print np.average(d1), np.average(d2)
print gmean(d1), gmean(d2)

aita

import matplotlib.pyplot as plt
import numpy as np

l = 5
sample = 10000
data = np.random.poisson(l, sample)


n, bins, patches = plt.hist(data, bins=14, normed=True)
plt.show()

aita

import scipy.stats
import numpy as np
import scipy as sp

DATA = [
    (400, 60),
    (15, 30),
    (480, 365),
    (993, 190),
    (600, 136),

aita

import scipy.stats
import scipy as sp

data = [3, 4, 5, 2, 3, 4, 5, 6, 4, 7]
print sp.stats.skew(data) # 0.303193339354

aita

import scipy.stats
import numpy as np
import scipy as sp

DATA = [
    (400, 60),
    (15, 30),
    (480, 365),
    (993, 190),
    (600, 136),

aita

import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
import numpy as np


sample = 10000
mu, std = 0, 10
data = [np.mean(np.random.normal(mu, std, sample)) for x in range(sample)]

n, bins, patches = plt.hist(data, bins=50, normed=True)