FileSize | 6939488 |
MD5 | E0650D66C28112477451D41E38787305 |
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 | 0.25.3+dfsg-7 |
SHA-1 | 4607CEFF250A7EC5819AD72549EB2EC7730C932B |
SHA-256 | 528FF7B697466AF9606E3BB4C1DF5033C8169E9CE8B6FB765D54A8C16B957318 |