adxrgh’s gists

adxrgh / slider.py

Created July 3, 2019 06:38

	ratings <- list("G", "NC-17", "PG", "PG-13", "R")
	genres <-
	list("Action", "Adventure", "Black Comedy", "Comedy", "Concert/Performance",
	"Documentary", "Drama", "Horror", "Musical", "Romantic Comedy",
	"Thriller/Suspense", "Western")

	base <-
	alt$Chart(vega_data$movies$url, width = 200, height = 200)$
	mark_point(filled = TRUE)$
	transform_calculate(

adxrgh / multi_index_construct.py

Created July 2, 2019 05:15

	In [12]: arrays = [np.array(['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux']),
	....: np.array(['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two'])]
	....:

	In [13]: s = pd.Series(np.random.randn(8), index=arrays)

	In [14]: s
	Out[14]:
	bar one -0.861849
	two -2.104569

adxrgh / config.conf

Last active June 14, 2019 16:25

automatic update by http://atom.io/packages/sync-settings

.

adxrgh / x.p

Created April 19, 2019 15:05

d

	for n in [0,1,2]:
	...: print(np.random.randint(-1,1))

adxrgh / list_remove.py

Created April 18, 2019 04:01

[列表删除元素时]#uestion

adxrgh / describe_dropna.py

Created April 17, 2019 22:04

[describe dropna itself?] #questions

	df = pd.DataFrame([('bird', 'Falconiformes', 389.0),
	...: ...: ('bird', 'Psittaciformes', 24.0),
	...: ...: ('mammal', 'Carnivora', 80.2),
	...: ...: ('mammal', 'Primates', np.nan),
	...: ...: ('mammal', 'Carnivora', 58)],
	...: ...: index=['falcon', 'parrot', 'lion', 'monkey', 'leopard'],
	...: ...: columns=('class', 'order', 'max_speed'))

	df.groupby('class').groups
	df.groupby('class').describe()

adxrgh / random.py

Created April 17, 2019 09:30

[随机测试数据生成]#data

	import numpy as np
	import pandas as pd
	a = pd.DataFrame(np.random.randint(0,100,size=(20,5)),columns=list('sweet'))

adxrgh / season.py

Created April 16, 2019 14:19

[季节数据]#素材

	from WindPy import *
	w.start()
	_,s = w.edb("S0213383,S0213384,M5417758", "2010-04-16", "2019-04-16","Fill=Previous",usedf=True)

	import matplotlib.pyplot as plt
	from datetime import datetime as dt
	import os
	now =dt.now().strftime('%Y%m%d_%H_%M_%S')
	fig = plt.figure()
	ax =fig.add_subplot(111)

adxrgh / dual_y.py

Created April 16, 2019 09:36

[双y轴] 左右Y轴不同的坐标系 #plot

	import matplotlib.pyplot as plt
	from datetime import datetime as dt
	import os
	now =dt.now().strftime('%Y%m%d_%H_%M_%S')
	fig = plt.figure()
	ax =fig.add_subplot(111)
	s.iloc[:,0].plot(ax=ax)
	s.iloc[:,1].plot(secondary_y=True)
	ax.set_ylabel('市值')
	ax.right_ax.set_ylabel('价格')

adxrgh / dual_plot.py

Last active April 16, 2019 09:37

[双图显示概率分布]利用kde、hist，cumlative画双图 #plot

	import matplotlib.pyplot as plt
	from datetime import datetime as dt
	import os
	now =dt.now().strftime('%Y%m%d_%H_%M_%S')
	fig = plt.figure()
	ax = fig.add_subplot(211)
	data = pd.Series(np.random.randn(500),name='random 500')
	data.plot(kind='kde',color='b',alpha=.6,ax=ax) #需要scipy.stats包
	#以下使用的是matplot的方法
	data.hist(color='b',alpha=.6,ax=ax,normed=True)