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The pandas package in Python implements this operation as "melt" function which converts a wide table to a narrow one. The process of converting a narrow table to wide table is generally referred to as "pivoting" in the context of data transformations.
Pandas is built around data structures called Series and DataFrames. 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.
Each row must have the same number of cells as the other rows, so that the number of columns in the table remains consistent. With colspan and rowspan cells can span several columns or rows; (see § Mélange, below)
A generic list box. A list box is a graphical control element that allows the user to select one or more items from a list contained within a static, multiple line text box. The user clicks inside the box on an item to select it, sometimes in combination with the ⇧ Shift or Ctrl in order to make multiple selections. "Control-clicking" an item ...
A column selection is a text selection feature found in text editors which allows the user to select characters in a grid-like fashion, selecting characters in several lines at the same columns. This is usually initiated by pressing the alt key (instead of the shift key, which creates a continuous selection) to select text when dragging .
The two most common representations are column-oriented (columnar format) and row-oriented (row format). [ 1 ] [ 2 ] The choice of data orientation is a trade-off and an architectural decision in databases , query engines, and numerical simulations. [ 1 ]
Here, width specifies the width of the columns, and determines dynamically the number of columns based on screen width; more columns will be shown on wider displays. If |colwidth= is not specified, the default width of 30em will be used. This template uses CSS3 multiple-column layout, which is not supported by all web browsers.
Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record.