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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.
For example, a table of 128 rows with a Boolean column requires 128 bytes a row-oriented format (one byte per Boolean) but 128 bits (16 bytes) in a column-oriented format (via a bitmap). Another example is the use of run-length encoding to encode a column.
[4]: 114 A DataFrame is a 2-dimensional data structure of rows and columns, similar to a spreadsheet, and analogous to a Python dictionary mapping column names (keys) to Series (values), with each Series sharing an index. [4]: 115 DataFrames can be concatenated together or "merged" on columns or indices in a manner similar to joins in SQL.
A scary, sobering look at fatal domestic violence in the United States
'Be wary:' FBI warns shoppers of holiday scams as Black Friday, Cyber Monday sales kick off Shoppers spent $11.3 million online every minute between 10 a.m. and 2 p.m., according to the sales ...
To use column-major order in a row-major environment, or vice versa, for whatever reason, one workaround is to assign non-conventional roles to the indexes (using the first index for the column and the second index for the row), and another is to bypass language syntax by explicitly computing positions in a one-dimensional array.
At the conclusion of its seventh and penultimate rate-setting policy meeting of 2024 on November 7, 2024, the Federal Reserve announced it was lowering the federal funds target interest rate by 25 ...
From January 2008 to May 2011, if you bought shares in companies when Donald H. Schmude joined the board, and sold them when he left, you would have a -47.9 percent return on your investment, compared to a -8.2 percent return from the S&P 500.