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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 .
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.
External tables (in Informix [3] or Oracle, [4] [5] for example) can also be thought of as views. In many systems for computational statistics, such as R and Python's pandas, a data frame or data table is a data type supporting the table abstraction. Conceptually, it is a list of records or observations all containing
Row-oriented benefits from fast insertion of a new row. Column-oriented benefits from fast insertion of a new column. This dimension is an important reason why row-oriented formats are more commonly used in Online transaction processing (OLTP), as it results in faster transactions in comparison to column-oriented.
{| |+ caption table code goes here |} To start a new table row, type a vertical bar and a hyphen on its own line: "|-". The codes for the cells in that row start on the next line. {| |+ The table's caption |-row code goes here |-next row code goes here |} Type the codes for each table cell in the next row, starting with a bar:
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.
For table markup, it can be applied to whole tables, table captions, table rows, and individual cells. CSS specificity in relation to content should be considered since applying it to a row could affect all that row's cells and applying it to a table could affect all the table's cells and caption, where styles closer to the content can override ...
Column labels are used to apply a filter to one or more columns that have to be shown in the pivot table. For instance if the "Salesperson" field is dragged to this area, then the table constructed will have values from the column "Sales Person", i.e. , one will have a number of columns equal to the number of "Salesperson".