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NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]
Data for these collections can be imported from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel. [8] A Series is a 1-dimensional data structure built on top of NumPy's array. [9]: 97 Unlike in NumPy, each data point has an associated label. The collection of these labels is ...
More generally, there are d! possible orders for a given array, one for each permutation of dimensions (with row-major and column-order just 2 special cases), although the lists of stride values are not necessarily permutations of each other, e.g., in the 2-by-3 example above, the strides are (3,1) for row-major and (1,2) for column-major.
name'Length: name'First: name'Last: ALGOL 68: UPB name - LWB name+1 2 UPB name - 2 LWB name+1 etc. LWB name 2 LWB name etc. UPB name. 2 UPB name etc. APL ⍴ name (⍴ name)[index] ⎕IO (⍴ name)-~⎕IO (⍴ name)[index]-~⎕IO: AWK: length: 1: asorti: C#, Visual Basic (.NET), Windows PowerShell, F#: name.Length: name.GetLowerBound(dimension ...
Using two columns like this does have the disadvantage that searching the web page (either with a browser or a search engine) will usually not be able to find text that straddles the column boundary. Also, if the table has cell spacing (and thus border-collapse=separate), meaning that cells have separate borders with a gap in between, that gap ...
style=max-width:Xem can be used in table headers. The following table excerpt is adapted from this version of List of countries by wealth per adult. The goal is to narrow the data columns, and have the country names spread out on one line each. All of this makes it easier when scanning down a country list.
The process of converting a narrow table to wide table is generally referred to as "pivoting" in the context of data transformations. The "pandas" python package provides a "pivot" method which provides for a narrow to wide transformation.
In machine learning, the term tensor informally refers to two different concepts (i) a way of organizing data and (ii) a multilinear (tensor) transformation. Data may be organized in a multidimensional array (M-way array), informally referred to as a "data tensor"; however, in the strict mathematical sense, a tensor is a multilinear mapping over a set of domain vector spaces to a range vector ...