| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/glue/viewers/histogram/qt/layer_artist.py |
| FileSize | 2404 |
| MD5 | B3B4C46CF5584A59C17943626441AC57 |
| SHA-1 | 02BE87825C51B346A3498DDF3BB82AF57EC02B1C |
| SHA-256 | EEA2A501227BF1C804395F6386B52BA55667016A5443C34D794F186C8C0096BA |
| SSDEEP | 48:P9XHddky2pI9NtCLQvgy8985sos8gmb23YQG1A:pHddkyWI9NtCLQvgpG5Ds8x23YQGa |
| TLSH | T17F41DB75011F9FB44AD368378507A6135BDBE017BA8E2218B9ECC21E1F5AC1440BECF5 |
| 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 | 425584 |
| MD5 | 9C61F8F68399F1408FE9B416B16DE87A |
| 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 | 0.15.6+dfsg-2 |
| SHA-1 | 331D947691564F09AA5D9E4310CFECF348A33F5E |
| SHA-256 | F5E8928DBF53493355E301B57FB98929ECDD9997D32622CF7D4575DA836E89E6 |
| Key | Value |
|---|---|
| FileSize | 424464 |
| MD5 | 02BF855B6DAD5BF741BB417818E6897F |
| 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 | 0.15.5+dfsg-1 |
| SHA-1 | 5D9803211CD1019A1D1A9EF2D896F5A5D49F19B8 |
| SHA-256 | 88ED5A11C59C5C4032212450788102A3B0DCA438478F8A635451187EC8D813AB |