vaexio/vaex

[BUG-REPORT] Vaex `to_dask_array` fails `AttributeError: 'ValueError' object has no attribute 'numpy'`

Open

#1,970 opened on Mar 12, 2022

View on GitHub
 (4 comments) (0 reactions) (0 assignees)Python (591 forks)batch import
good first issuehelp wanted

Repository metrics

Stars
 (8,117 stars)
PR merge metrics
 (No merged PRs in 30d)

Description

Thank you for reaching out and helping us improve Vaex!

Before you submit a new Issue, please read through the documentation. Also, make sure you search through the Open and Closed Issues - your problem may already be discussed or addressed.

Description Please provide a clear and concise description of the problem. This should contain all the steps needed to reproduce the problem. A minimal code example that exposes the problem is very appreciated.

Software information

  • Vaex version (import vaex; vaex.__version__): {'vaex-core': '4.8.0', 'vaex-hdf5': '0.11.1'}
  • Vaex was installed via: pip / conda-forge / from source pip
  • OS: MacOS

Additional information Please state any supplementary information or provide additional context for the problem (e.g. screenshots, data, etc..).

import vaex

def tolist(x,y):
    return list([x,y])

data = {'A':[1,2,1],'B':['a','b','c'], 'C':['d', 'e', 'f']}
df = vaex.from_dict(data)
df.to_dask_array()

Contributor guide

Research direction
Examine the `to dask array` method in vaex to understand why a ValueError is raised and why it tries to access `.numpy` attribute of ValueError.
Tech stack
python
Domain
data
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75