Result for 02D57217559B6BD02B79BF02E3522E4F9175CBEC

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pandas/sparse/frame.py
FileSize29639
MD5C9FCBCEBB4EF4998AED6ACAD93FAE1B9
SHA-102D57217559B6BD02B79BF02E3522E4F9175CBEC
SHA-25627627E9854F2ABFD576071692B16A6CCF7BE9AD7944484EDC7A0068733FF99B1
SSDEEP192:XYmK2g32gRnf6ZFU5iopFIMI+YFAObN7VgFYtVU5V4UPkLE8N0P/yagafSn74m4k:X+6s8yIM+AODAy0YH1RWIvQjQ
TLSHT12ED20FB6BD5698568293E4A44CC68C03D317391B2C0C31A4BCBC59D42FB5E19F7BDBA8
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1076560
MD521DBCDB793BF0D89F72DEDD75127B670
PackageDescriptiondata structures for "relational" or "labeled" data 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 Python 2 version.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pandas
PackageSectionpython
PackageVersion0.13.1-2ubuntu2
SHA-183C388B6E02E63AD7FA6E369570C2F6152FA68C6
SHA-2562F3045690338C212290E9704EAD486BF98B77FA681A704B7768AC7BBB6DEBF62
Key Value
FileSize1074354
MD5B6CD81482874CA523AF71F566D38233A
PackageDescriptiondata structures for "relational" or "labeled" data - Python 3 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 Python 3 version.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pandas
PackageSectionpython
PackageVersion0.13.1-2ubuntu2
SHA-117251B3EB88427B78B25464F111F3CFE005A76CC
SHA-2560E6C32A77FEAF3A5C4B4AC949356A91A08DEBFA9078B2255A20ADF7176A0FCE0