作者:Selva Prabhakaran 翻译:陈超 校对:王可汗 本文约7500字,建议阅读20+分钟本文介绍了时间序列的定义、特征并结合实例给出了时间序列在Python中评价指标和方法。 时间序列是在规律性时间间隔上记录的观测值序列。本指南将带你了解在Python中分析给定时间序列的特征的全过程。 图片来自Daniel Ferrandi 内容 1. 什么...
执行程序后文件夹增加了“example.xlsx”: 此时表格是空的: 2. xlwings 打开已存在的 Excel 文档 现有表格长这样: 运行程序: # 3.4.3 xlwings 打开已存在的Excel文件def fun3_4_3():# 新建Excle 默认设置:程序可见,只打开不新建工作薄,屏幕更新关闭app = xw.App(visible=True, add_book=False) app.displ...
创建数据字典 In [1]:dict()Out[1]: {}In [2]:dict(a='a',b='b')Out[2]: {'a':'a','b':'b'}In [3]:dict(zip(['a','b'],[1,2]))Out[3]: {'a':1,'b':2}In [4]:dict([('a',1),('b',2)])Out[4]: {'a':1,'b':2} 19 一键查看对象所有方法 不带参数时返...
repeat name array map dtype 29. divmod to_frame unique ravel searchsorted 30. hasnans is_unique is_monotonic cat argmin 31. >>> 32. >>> for i,f in enumerate(set(A)&set(B),1): 33. print(f'{f:18}',end='' if i%5 else '\n') 34. 35. 36. lt get reorder_levels ...
## 7. Seasonal Mean ---def seasonal_mean(ts, n, lr=0.7):"""Compute the mean of corresponding seasonal periodsts: 1D array-like of the time seriesn: Seasonal window length of the time series"""out = np.copy(ts)for i, val in enumerate(ts):if np.isnan(val):ts_seas = ts[i-...
Example #6Source File: utils.py From DeepRobust with MIT License 5 votes def to_tensor(adj, features, labels=None, device='cpu'): """Convert adj, features, labels from array or sparse matrix to torch Tensor. Parameters --- adj : scipy.sparse.csr_matrix the adjacency matrix. features ...
Example #8Source File: LongShortTermMemoryNetworks.py From DeepLearningTutorial with MIT License 5 votes def initialize_LSTM(self): hyp = np.array([]) Q = self.hidden_dim # Forget Gate U_f = -np.sqrt(6.0/(self.X_dim+Q)) + 2.0*np.sqrt(6.0/(self.X_dim+Q))*np.random.rand(...
ALLOWED_HOSTS In production, Django requires that you include the app's URL in the ALLOWED_HOSTS array of settings.py. You can retrieve this URL at runtime with the code os.environ['WEBSITE_HOSTNAME']. App Service automatically sets the WEBSITE_HOSTNAME environment variable to the app's ...
array([<Axes: title={'center': 'min_Depth__kilometers_'}, xlabel='STATE_NAME'>, <Axes: title={'center': 'mean_Event_Magnitude'}, xlabel='STATE_NAME'>], dtype=object) On this page Aggregate points Aggregate earthquakes by state
Querying these rectangles requires magnitudes fewer compute resources for accessing and processing geometries relative to accessing the entire feature array of coordinate pairs that compose a shape. Access to points, complex lines and irregularly-shaped polygons becomes much quicker and easier through ...