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import requests
import matplotlib.pyplot as plt
import json
from PIL import Image
from io import BytesIO

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import pandas as pd
import numpy as np
from numpy.random import *
from pandas import rolling_mean, rolling_apply

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import cv2
from scipy import ndimage
import os
from joblib import Parallel, delayed

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import pandas as pd
import numpy as np

df = pd.DataFrame({'C1': [1, np.nan, np.nan],
                   'C2': [2, 1, 3],
                   'C3': [np.nan, np.nan, 1]})

kyoro1

import numpy.random import *

## 0～1までの乱数を設定
tmp = rand()
if tmp <= epsilon:
  output = 1
else:
  output = 0
print(output)

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pip install sqlalchemy

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import pandas as pd

df = \
pd.DataFrame({ 'date' : ['2017-12-14','2017-12-15','2017-12-16'],
               'symbol' : ["A","B","C"],
               'number' : [1,2,3]})

kyoro1

from sklearn.datasets import load_iris
from pandas.tools.plotting import parallel_coordinates

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib

matplotlib.style.use('ggplot')

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pip install pydocumentdb

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## library
library(RODBC)

## initial setting
## 上述の通り、適宜設定値は変えて下さい
myServer <- "abc_server.database.windows.net"
myUser <- "abc_user"
myPassword <- "abc_password"
myDatabase <- "abc_database"
myDriver <- "SQL Server"