qlikview applymap

ApplyApply to perform a whole operation on a column In [116]: frame = Dataframe (Np.random.randn (4, 3), columns=list (' BDE '), index=[' Utah ', ' Ohio ', ' Texas ', ' Oregon ']) In [117]: Frame out[117]: b d e Utah

Prepare the following data: SalesData: LOADNum (ID) asID, Date (Date) asDate, Month, Num (Year) asYear, Num (Sales) asSalesInline [ID, Date, Month, Year, sales1, 2012-1-2012,202,201, 2012,213,201 2-1-2012,234,201, 2013,345 2-1-, 3-1, Prepare the

Introduction to the outsetToday, when you load data using QV, you run into some state in the column, and the information is separated by a symbol, which is not conducive to data analysis because the content in the string is itself a dimension.

[ThinkPHP] the ThinkPHP framework is used to develop Association query problems. The User model is associated with the personalapply table: 'Personalapplication' => array ( 'Ing ing _ type' => self: has_counter, 'Foreign _ key' => 'uid ', 'Ing ing _ name' => 'personalapplication ', ), In the controller: query and filter Fields received by the front-end (the field is the field in the personalapply table) // Obtain the application information of the Personal Center $ Limit_year = $ _ GET ['lim

= normalize (name, ParentName, Applymap);The only thing we need to do is parse this address./** * Given a relative module name, like./something, normalize it to * a real name the can be mapped t o a path. * @param {string} name the relative name * @param {string} baseName a real name, the name Arg is relative * To. * @param {Boolean} applymap apply the map config to the value.

types of screens, from the mobile phone end, PC end, the screen can be perfectly adapted. Qlikview Qlikview is more commercial than the preceding two. Positioning is a commercial analysis software that enables developers and analysts to quickly deploy analysis references. Similar to the report tool finereport, qlikview can be integrated into the product for rep

Developed using the thinkphp framework. The personalapply table is associated with the user model: ' Personalapply ' =>array ( ' Mapping_type ' =>self::has_many, ' Foreign_key ' = ' uid ', ' Mapping_name ' = ' personalapply ', ), Controller: Field query filter based on front end (field personalapply table) Request information for a personal center $limit _year = $_get[' limit_year '); $loanuse = $_get[' loanuse '); Application Form Association Query conditions $user =d (' user '); $

pandas import Series,dataf The Rame#numpy element progression group method also applies to pandas object frame = DataFrame (Np.random.randn (4,3), columns = List (' abc '), index = [' Ut ', ' Oh ', ' Te ', ' Or ']) print frame# The following is the absolute value: #print Np.abs (frame) #另一种常见的做法是: Apply a function to a row or column, using the Apply method, like the R language fun = Lambda X:x.max ()-X.min () #默认是应用在每一列上print frame.apply (Fun) #下面是应用在列上print frame.apply (Fun,axis = 1) #很多统计函数根本

Previously written pandas DataFrame Applymap () functionand pandas Array (pandas Series)-(5) Apply method Custom functionThe applymap () function of the pandas DataFrame and the apply () method of the pandas Series are processed separately for the entire object's previous values, returning a new object.The apply () function of Pandas DataFrame, although it also acts on each value of DataFrame, but the accep

class Generictest {public static void Main (string[] args) throws Exception { getparamtype (); } /* Use reflection to get the actual parameter type of the method parameter /public static void GetParamType () throws nosuchmethodexception{methods = GenericTest.class.getMethod ("Applymap", map.class); Gets the type of the generic parameter of the method type[] types = Method.getgenericparametertypes (); System.out.println (

a technique of 1.pandas Apply () and applymap () are functions of the Dataframe data type, and map () is a function of the series data type. The action object of the Apply () dataframe a column or row of data, Applymap () is element-wise and is used for each of the dataframe data. Map () is also element-wise, calling a function once for each data in series. 2.PCA decomposition of the German DAX30 index The

The qlik sense desktop case shows the effects of several report cases that have just been viewed and completed (if the image is not displayed normally, refresh the page again) -I personally feel that the report design process is very simple and convenient, and the report interaction is also very strong, it is easy to analyze and view data information from various dimensions. I guess many people have heard of qlikview, and we can see that qlik has rank

add abbreviations to appropriate columns. df_final['abbrev'] = df_final.apply(convert_state, axis=1)df_final.tail() I think this is cool. We have developed a very simple process to intelligently clean up data. Obviously, when you only have about 15 rows of data, this is nothing remarkable. But what if it is 15000 rows? In Excel, you must perform manual cleanup.Category summary In the last section of this article, let's do some subtotal by state ). In Excel, we use the subtotal tool. The outp

length petal width class0 5.1 3.5 1.4 0.2 SET1 4.9 3.0 1.4 0.2 SET2 4.7 3.2 1.3 0.2 SET3 4.6 3.1 1.5 0.2 SET4 5.0 3.6 1.4 0.2 SET5 5.4 3.9 1.7 0.4 SET6 4.6 3.4 1.4 0.3 SET2. Apply to row or column operationsApplied in a column:df[' width Petal '] = df[' Petal width '].apply (lambda v:1 if v >=1.3 else 0)Add a column width petal in df if petal width is more than 1.3 1, otherwise 0. Note that Lambda V is the return value of df[' petal width ')Apply in Data frame:df[' width area ']=df.apply[lambda

1 3 4 5 2 6 7 8 Applymap () can apply a function to each element of Dataframe Apply () can apply a function to each dimension array df.applymap(lambda'%.2f'% x) 0 1 2 0 0.00 1.00 2.00 1 3.00 4.00 5.00 2 6.00 7.00 8.00 data.

'] = df_final.apply (convert_state, Axis=1) Df_final.tail () I think it's cool. We have developed a very simple process to intelligently clean up the data. Obviously, it's no big deal when you have 15 lines of data. But what if it's 15000 lines? In Excel you have to do some manual cleanup.Subtotal In the last section of this article, let's do some subtotals by state (subtotal). In Excel, we'll use the Subtotal tool to do this. The output is as follows: Creating subtotals in Pand

, and the two endpoints of an edge join are called targets and sources, and each target or source is a node. node is the vertex of the child. Every cell can have its own children. The appearance of each cell is defined by the corresponding attribute sequence, which refers to a series of key-value pairs, which are organized in the form of a map, for example: Define the appearance of the Edge Map map = new Hashtable (); Graphconstants.setlineend (map, Graphconstants.arrow_classic); Graphconst

as SAP BO, Cognos, ORACLEBIEE, etc., self-help BI, such as foreign tableau, Qlikview, domestic finebi, Yonghong bi and so on.From the perspective of the enterprise of the product, we can measure from the leading ability, product ability, service ability and price ability. Can be judged by a set of "BI Selection Index system" given by sea ratio research.1, leading capacity = Industry Status + leadingsuch as the company's low in the industry, market sh

The enhancement of enterprise's core competitive ability needs strong operation and management ability, which needs timely, accurate and comprehensive business data analysis as reference and support.A group is a large fashion group, the internal reporting system with Qlikview, but the management of the allocation is not flexible enough to meet the requirements of data security, followed by a number of only 10, only to meet the needs of some users of t

quickly as it gives you just the right amount of information. Step 8: Advanced TopicsNow so you had learnt most of the data analytics using R, it was time to give some advanced topics a shot. There is a good chance so already know many of these, but has a look at these tutorials too. The for using R and Hadoop see this tutorial on using Rhadoop. A Tutorial on using R with MongoDB. Another nice tutorial on Big Data analysis using R in the NoSQL era. You can make intera