Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/glue/viewers/histogram/layer_artist.py |
FileSize | 4273 |
MD5 | 2A75A5CADB3C5D64445D4F201AEBCC7E |
SHA-1 | 03C8AB4E5CE02B4B91F2F717F153D158C5FE8807 |
SHA-256 | FBA9A0F8C411787BB9259343694BDF5C64F13A1FB33C6D1CE1DCEA8C538E0580 |
SSDEEP | 96:oGoxGHOY2+GMFqZW0zuZvW1Ri4EaM6ac/psqnV+H:8GTa56W7aSRW |
TLSH | T15C91337AF6269E7947CFE43D805BF1136A8EE813910D2035BABD62550F00925C2FCEE0 |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 345740 |
MD5 | E8A07887F30910FC2B6FED1A1AFD34C8 |
PackageDescription | Python 2 library for data interaction python-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 | python-glue |
PackageSection | python |
PackageVersion | 0.9.1+dfsg-1 |
SHA-1 | 34AD4F6E93EA201BB108818AC6C957EEAA4EE8BF |
SHA-256 | 456FC2C365C8AA9C7875B9DE0EA0B3F415BF20E0333D9A5D30D9226EE2B6D12F |
Key | Value |
---|---|
FileSize | 354236 |
MD5 | 311A6B6F5CE1CBB66B81F3968AF10FC8 |
PackageDescription | Python 2 library for data interaction python-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 | python-glue |
PackageSection | python |
PackageVersion | 0.9.1+dfsg-1 |
SHA-1 | 29D145A0F1FAA030BFC6570DF882DEC1E9D12C18 |
SHA-256 | F8264647D384573AFC2CEDEE1FDEEF5AD5AA07953A62D27D79739CBC0E1A8223 |
Key | Value |
---|---|
FileSize | 365034 |
MD5 | 9970AAEF3D69F4B487FFB453B630E30D |
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 | 0.9.1+dfsg-1 |
SHA-1 | 308B3DDEF746E34037421C5CD61EE3FD6EFD36AB |
SHA-256 | 4656202AA66F30C5F547042AF3D455615FE46EC99AF76C875CB350A7785677DB |
Key | Value |
---|---|
FileSize | 356542 |
MD5 | 3947752CFE9F8E78DE29702BA9AED26C |
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 | 0.9.1+dfsg-1 |
SHA-1 | 5E1D02BE39B640956735D7CE6BEE6F2DD2A9E91D |
SHA-256 | E0D4EE7791C7918E0A7E3BAC592AAC5A101E63134AA7C4190399DDA9B97A46A0 |