Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/glue/core/data_factories/pandas.py |
FileSize | 3732 |
MD5 | E3E6BD21BFF0A784A5384E2CBE4D5902 |
SHA-1 | 0237E2A20242BA797DBA6CE37A882450D43E0B67 |
SHA-256 | 136CFEF0FF4EE2EBBA91C8B3491DCF4F1E848CE5B38EAC7F0469EAA0A998E5CA |
SSDEEP | 48:KIwKIVzi5uC3F1u0z3zWXoxxlQHRT5ZCURrecs1u+ueQdXs7JtqF69yYFkFo:v/INi5N+0bSNHN5RSFU+uJXsyoyYFYo |
TLSH | T19A7175132E69102F86A5A40809DBE402F364B8075E4101F838ECE7D62F99266FE7D7AD |
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 | 430740 |
MD5 | 5FDE944E8ED7E41AF851E9FFF5A3903D |
PackageDescription | Python 3 library for data interaction python3-glue is a Python library for data interaction, it blurs the boundary between GUI-centric and code-centric data exploration. There are many ways to leverage Glue from Python. Among other things, you can write code to do the following: . * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for exploration. * Write startup scripts that automatically load and clean data, before starting Glue. * Write custom functions to parse files, and plug these functions into the Glue GUI. * Write custom functions to link datasets, and plug these into the Glue GUI. * Create your own visualization modules. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-glue |
PackageSection | python |
PackageVersion | 1.0.1+dfsg-1 |
SHA-1 | 50E33154D605FACFE56E3605CCA759A6F14B43AB |
SHA-256 | 56383625F24FC48F042C97D4E74779F8856C87129D073CD3358426F0FC74C6BC |
Key | Value |
---|---|
FileSize | 451544 |
MD5 | 525A7DF769AE07FCF5579412F53137C4 |
PackageDescription | Python 3 library for data interaction python3-glue is a Python library for data interaction, it blurs the boundary between GUI-centric and code-centric data exploration. There are many ways to leverage Glue from Python. Among other things, you can write code to do the following: . * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for exploration. * Write startup scripts that automatically load and clean data, before starting Glue. * Write custom functions to parse files, and plug these functions into the Glue GUI. * Write custom functions to link datasets, and plug these into the Glue GUI. * Create your own visualization modules. |
PackageMaintainer | Debian Astronomy Maintainers <debian-astro-maintainers@lists.alioth.debian.org> |
PackageName | python3-glue |
PackageSection | python |
PackageVersion | 1.0.1+dfsg-1 |
SHA-1 | F66525CEA28A2004B043CEFB97094EC5510B26E0 |
SHA-256 | 95C70C56AE28E14AD94B0BBBEEB77FB2BF61156B6C47732CD31E6BAB1C8A7329 |