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Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series .
Category:Multi-column templates: templates for using columns without tables. Category:Chart, diagram and graph templates; Category:Chart, diagram and graph formatting and function templates; Category:Wikipedia template editors {{List to table}}: template and its maintenance category: Category:Articles requiring tables
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.
Creates a heading for table reference columns. Template parameters [Edit template data] Parameter Description Type Status multi multi plural Specifies whether the column can contain multiple references per row and changes the texts to plural forms accordingly. Default yes Boolean suggested The above documentation is transcluded from Template:Reference column heading/doc. (edit | history ...
Tab-separated values (TSV) is a simple, text-based file format for storing tabular data. [3] Records are separated by newlines, and values within a record are separated by tab characters.
When {{Parameter names example}} is used on an immediate subpage of its target template – e.g. on the target template's /doc page – its own |_template= parameter identifying the target template may be omitted. In other words, the code above, if used on Template:Infobox/page (where page could be "doc", "testcases", etc.), would become:
A link to edit the reading list. background: Background color of the reading list box. text_color: Text color of the article titles. font_size (Optional) Font size for the text. font_family (Optional) Font family for the text. text_align (Optional) Alignment of the text (left, right, center).
A primary key is unique throughout all stored records; only one of this key exists. [15] In other words, no duplicate may exist for any primary key. For example, an employee file might contain employee number, name, department, and salary. The employee number will be unique in the organization and will be the primary key.