This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import requests | |
import matplotlib.pyplot as plt | |
import json | |
from PIL import Image | |
from io import BytesIO |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
import numpy as np | |
from numpy.random import * | |
from pandas import rolling_mean, rolling_apply |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import cv2 | |
from scipy import ndimage | |
import os | |
from joblib import Parallel, delayed |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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]}) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
pip install sqlalchemy |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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]}) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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') |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
pip install pydocumentdb |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
## 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" |
NewerOlder