market data analysis using jmp

Using Python for data analysis (5) NumPy basics: ndarray index and slicing,Concept understanding IndexYou can use an unsigned integer to obtain the values in the array.SliceThat is, the description of a segment in a logarithm group. One-dimensional array Index of one-dimensional arrayThe indexing of one-dimensional arrays is similar to that of Python lists: T

, time data. And there are calendar features. The datetime, time, and calendar modules are used primarily. #-*-coding:utf-8-*-ImportNumPy as NPImportPandas as PDImportMatplotlib.pyplot as PltImportdatetime as DT fromDatetimeImportDatetimenow=DateTime.Now ()#datetime stores time in millisecondsPrintNow,now.year,now.month,now.day,now.microsecond,'\ n'#print datetime (2015,12,17,20,00,01,555555) #设置一个时间#Datetime.timedelta represents a time difference bet

I. Related NumPy(i) Official explanationsNumPy is the fundamental package for scientific computing with Python. It contains among other things: A powerful N-dimensional Array object Sophisticated (broadcasting) functions Tools for integrating C + + and Fortran code Useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses, NumPy can also is used as an efficient multi-dimensional container of generic

The data used for the following analysis can be found here ( "Href =" http://dl.getdropbox.com/u/308058/blog/raw_data_3_replicates.txt "> http://dl.getdropbox.com/u/308058/blog/raw_data_3_replicates.txt) download, the data comes from a study on Gene Transfer of butterflies, 20 sample butterfly individuals, 10 of which are local inherent (old ), the other 10 are

Returns a Series that contains only non-empty data and index valuesRemove the missing field first: Cframe=frame[frame.a.notnull ()]Second, it calculates whether the rows are Windows based on the value of a, #np. The WHERE function is a vectorization ifelse functionOperating_system=np.where (cframe[' a '].str.contains (' windows '), ' windows ', ' no windows ')Next, the data is grouped according to the time

._clean_fields () self._clean_form () Self._post_clean ( )Start validation field: Self._clean_fields ()def _clean_fields (self):#循环字段, the field that is set in the form component, which is from the __new__ of Declarativefieldsmetaclass forName, fieldinchSelf.fields.items (): # value_from_datadict () gets the data fromThe data dictionaries. # Each widget type knows what to retrieve it own

, -0.74028303], [-3.36499059, -0.74028303, 3.42469162]]A high-dimensional array needs to have a ganso that consists of an axis number to transpose:Arr = Np.arange (+). Reshape ((2,2,4))>>> Arrarray ([[[0, 1, 2, 3], 4, 5, 6, 7]], 8, 9, ten, one], [one, one, Ten]]]) >>> Arr.transpose ((1,0,2)) array ([[[[[ 0], 1, 2, 3], 8, 9, 10 , all]], 4, 5, 6, 7], [12, 13, 14, 15]]Swapaxes Method:>>> arr.swapaxes Array ([[[[0, 4], 1, 5],

array corresponds to a one-dimensional array, the slice of a two-dimensional array is a fragment of one-dimensional array: multidimensional Arrays index of multidimensional arraysIn a one-dimensional array, a single index value returns the corresponding scalar, and in a two-dimensional array, a single index value returns the corresponding one-dimensional array; In a multidimensional array, a single index value returns an array of a lower latitude, for example: Boolean index A Boolean index

The Basic course has not finished, it came to this, because my usual research is based on data processing. Who says the woman is inferior to the male 650) this.width=650; "src=" Http://img.baidu.com/hi/jx2/j_0011.gif "alt=" J_0011.gif "/>do your own things well done carefully, Hee 650) this.width=650; "src=" Http://img.baidu.com/hi/jx2/j_0003.gif "alt=" J_0003.gif "/>Read the introductory section, download the dat