Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/pandas/core/categorical.py |
FileSize | 7869 |
MD5 | 7A55B43F76169A5DD1D2E79171ECA943 |
SHA-1 | 001A29DEDADDD7CBAF7503A8E04CA7EB88D0BB48 |
SHA-256 | 065C4006E5F3A2E6A55E35AC6D7F3DD4F682F19718090C45B486CA19B703A973 |
SSDEEP | 192:vaiBetAwqnE91y16nf+Iu6hVo/ziOOIuVm72PKS+:stvqg1y1uPlOsVOR |
TLSH | T132F1423A2D8D542AC313C8B445DE9903E6696707560C34F4F8BD2F502FCBA24A6BCACD |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
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 |
---|---|
FileSize | 1076560 |
MD5 | 21DBCDB793BF0D89F72DEDD75127B670 |
PackageDescription | data 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pandas |
PackageSection | python |
PackageVersion | 0.13.1-2ubuntu2 |
SHA-1 | 83C388B6E02E63AD7FA6E369570C2F6152FA68C6 |
SHA-256 | 2F3045690338C212290E9704EAD486BF98B77FA681A704B7768AC7BBB6DEBF62 |
Key | Value |
---|---|
FileSize | 1074354 |
MD5 | B6CD81482874CA523AF71F566D38233A |
PackageDescription | data 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-pandas |
PackageSection | python |
PackageVersion | 0.13.1-2ubuntu2 |
SHA-1 | 17251B3EB88427B78B25464F111F3CFE005A76CC |
SHA-256 | 0E6C32A77FEAF3A5C4B4AC949356A91A08DEBFA9078B2255A20ADF7176A0FCE0 |