python data_error ai_generated true

ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (3,) + inhomogeneous part.

ID: python/numpy-visible-deprecation-ragged

Also available as: JSON · Markdown · 中文
80%Fix Rate
88%Confidence
0Evidence
2024-02-14First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
3.x active — — —

Root Cause

np.array() called on a list of lists with differing lengths. Since NumPy 1.24 this raises instead of creating an object array.

generic

中文

对长度不一致的列表的列表调用 np.array()。自 NumPy 1.24 起会报错而不是创建 object 数组。

Workarounds

  1. 95% success 
    np.array(data, dtype=object) to explicitly request an object array
  2. 85% success 
    Pad sequences first: from itertools import zip_longest; np.array(list(zip_longest(*data, fillvalue=0))).T

Dead Ends

Common approaches that don't work:

  1. 90% fail

    Still cannot broadcast ragged data

  2. 85% fail

    np.stack requires identical shapes too