FileSize | 7655112 |
MD5 | 5CA98AF9A11039AB63B4646F6F4E9C85 |
PackageDescription | data structures for "relational" or "labeled" data - documentation
pandas is a Python package providing fast, flexible, and expressive
data structures designed to make working with "relational" or
"labeled" data both easy and intuitive. It aims to be the fundamental
high-level building block for doing practical, real world data
analysis in Python. pandas is well suited for many different kinds of
data:
.
- Tabular data with heterogeneously-typed columns, as in an SQL
table or Excel spreadsheet
- Ordered and unordered (not necessarily fixed-frequency) time
series data.
- Arbitrary matrix data (homogeneously typed or heterogeneous) with
row and column labels
- Any other form of observational / statistical data sets. The data
actually need not be labeled at all to be placed into a pandas
data structure
.
This package contains the documentation. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pandas-doc |
PackageSection | doc |
PackageVersion | 1.0.5+dfsg-3 |
SHA-1 | 859E82C01366B6B895DA269F19E4440449F95E9F |
SHA-256 | 7D9973698376C6639C26EF9089283514F2D346AE70D8C0194BE20AA47B394D32 |