enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    To avoid this ambiguity, Pandas supports the syntax data.loc['a'] as an alternative way to filter using the index. Pandas also supports the syntax data.iloc[n], which always takes an integer n and returns the nth value, counting from 0. This allows a user to act as though the index is an array-like sequence of integers, regardless of how it's ...

  3. Clamping (graphics) - Wikipedia

    en.wikipedia.org/wiki/Clamping_(graphics)

    Several programming languages and libraries provide functions for fast and vectorized clamping. In Python, the pandas library offers the Series.clip [1] and DataFrame.clip [2] methods. The NumPy library offers the clip [3] function. In the Wolfram Language, it is implemented as Clip [x, {minimum, maximum}]. [4]

  4. Determining the number of clusters in a data set - Wikipedia

    en.wikipedia.org/wiki/Determining_the_number_of...

    The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]

  5. Correlation - Wikipedia

    en.wikipedia.org/wiki/Correlation

    In some applications (e.g., building data models from only partially observed data) one wants to find the "nearest" correlation matrix to an "approximate" correlation matrix (e.g., a matrix which typically lacks semi-definite positiveness due to the way it has been computed).

  6. Spearman's rank correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Spearman's_rank_correlation...

    Python has many different implementations of the spearman correlation statistic: it can be computed with the spearmanr function of the scipy.stats module, as well as with the DataFrame.corr(method='spearman') method from the pandas library, and the corr(x, y, method='spearman') function from the statistical package pingouin.

  7. Howard G. Buffett - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/howard-g-buffett

    The Howard G. Buffett Stock Index From January 2008 to December 2012, if you bought shares in companies when Howard G. Buffett joined the board, and sold them when he left, you would have a -4.7 percent return on your investment, compared to a -2.8 percent return from the S&P 500.

  8. Database index - Wikipedia

    en.wikipedia.org/wiki/Database_index

    A database index is a data structure that improves the speed of data retrieval operations on a database table at the cost of additional writes and storage space to maintain the index data structure. Indexes are used to quickly locate data without having to search every row in a database table every time said table is accessed.

  9. Dennis R. Beresford - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/dennis-r-beresford

    The Dennis R. Beresford Stock Index From January 2008 to December 2012, if you bought shares in companies when Dennis R. Beresford joined the board, and sold them when he left, you would have a -98.7 percent return on your investment, compared to a -2.8 percent return from the S&P 500.