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[BUG] from_arrow fails when there is a list column in pyarrow table #7137

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galipremsagar opened this issue Jan 13, 2021 · 1 comment · Fixed by #7162
Closed

[BUG] from_arrow fails when there is a list column in pyarrow table #7137

galipremsagar opened this issue Jan 13, 2021 · 1 comment · Fixed by #7162
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@galipremsagar
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bug Something isn't working Python Affects Python cuDF API.

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@galipremsagar
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Describe the bug
When there is a pyarrow table with list array column, cudf is not able to convert the table to a cudf DataFrame.

Steps/Code to reproduce bug

In[2]: import cudf
In[3]: df = cudf.DataFrame({'a':cudf.Series([[1, 2, 3]])})
In[4]: df
Out[4]: 
           a
0  [1, 2, 3]
In[5]: table = df.to_arrow()
In[6]: table
Out[6]: 
pyarrow.Table
a: list<item: int64>
  child 0, item: int64
In[7]: cudf.DataFrame.from_arrow(table)
Traceback (most recent call last):
  File "/home/pgali/anaconda3/envs/cudf_dev/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3418, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-7-4eccda962def>", line 1, in <module>
    cudf.DataFrame.from_arrow(table)
  File "/home/pgali/anaconda3/envs/cudf_dev/lib/python3.7/site-packages/cudf/core/dataframe.py", line 5113, in from_arrow
    out = super().from_arrow(table)
  File "/home/pgali/anaconda3/envs/cudf_dev/lib/python3.7/contextlib.py", line 74, in inner
    return func(*args, **kwds)
  File "/home/pgali/anaconda3/envs/cudf_dev/lib/python3.7/site-packages/cudf/core/frame.py", line 2072, in from_arrow
    result._data[name] = result._data[name].astype(dtype)
  File "/home/pgali/anaconda3/envs/cudf_dev/lib/python3.7/site-packages/cudf/core/column/column.py", line 999, in astype
    elif pd.api.types.pandas_dtype(dtype).type in {
  File "/home/pgali/anaconda3/envs/cudf_dev/lib/python3.7/site-packages/pandas/core/dtypes/common.py", line 1763, in pandas_dtype
    npdtype = np.dtype(dtype)
TypeError: data type 'list' not understood

Expected behavior

In[7]: cudf.DataFrame.from_arrow(table)
Out[7]: 
           a
0  [1, 2, 3]

Environment overview (please complete the following information)

  • Environment location: [Bare-metal]
  • Method of cuDF install: [from source]

Environment details
Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details

Click here to see environment details
 **git***
 commit 2f26bc2ab19b4c36546ebed8618a33de81ee4808 (HEAD -> 7103)
 Merge: d020dbb40a 4da8312d5b
 Author: galipremsagar <[email protected]>
 Date:   Tue Jan 12 11:48:25 2021 -0600
 
 Merge remote-tracking branch 'upstream/branch-0.18' into 7103
 **git submodules***
 
 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=20.04
 DISTRIB_CODENAME=focal
 DISTRIB_DESCRIPTION="Ubuntu 20.04.1 LTS"
 NAME="Ubuntu"
 VERSION="20.04.1 LTS (Focal Fossa)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 20.04.1 LTS"
 VERSION_ID="20.04"
 HOME_URL="https://www.ubuntu.com/"
 SUPPORT_URL="https://help.ubuntu.com/"
 BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
 PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
 VERSION_CODENAME=focal
 UBUNTU_CODENAME=focal
 Linux pgali-HP-Z8-G4-Workstation 5.8.0-36-generic #40~20.04.1-Ubuntu SMP Wed Jan 6 10:15:55 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
 
 ***GPU Information***
 Tue Jan 12 15:55:43 2021
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |
 |-------------------------------+----------------------+----------------------+
 | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
 | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
 |                               |                      |               MIG M. |
 |===============================+======================+======================|
 |   0  Quadro RTX 8000     Off  | 00000000:22:00.0 Off |                  Off |
 | 33%   31C    P8     5W / 260W |    724MiB / 48601MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   1  Quadro RTX 8000     Off  | 00000000:2D:00.0  On |                  Off |
 | 33%   34C    P8    20W / 260W |    406MiB / 48592MiB |      3%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 
 +-----------------------------------------------------------------------------+
 | Processes:                                                                  |
 |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
 |        ID   ID                                                   Usage      |
 |=============================================================================|
 |    0   N/A  N/A       974      G   /usr/lib/xorg/Xorg                  4MiB |
 |    0   N/A  N/A      1775      G   /usr/lib/xorg/Xorg                  4MiB |
 |    0   N/A  N/A     25101      C   .../envs/cudf_dev/bin/python      711MiB |
 |    1   N/A  N/A       974      G   /usr/lib/xorg/Xorg                 39MiB |
 |    1   N/A  N/A      1775      G   /usr/lib/xorg/Xorg                190MiB |
 |    1   N/A  N/A      1903      G   /usr/bin/gnome-shell              105MiB |
 |    1   N/A  N/A      3821      G   ...AAAAAAAA== --shared-files       30MiB |
 |    1   N/A  N/A     18401      G   ...f_3394.log --shared-files       27MiB |
 +-----------------------------------------------------------------------------+
 
 ***CPU***
 Architecture:                    x86_64
 CPU op-mode(s):                  32-bit, 64-bit
 Byte Order:                      Little Endian
 Address sizes:                   46 bits physical, 48 bits virtual
 CPU(s):                          12
 On-line CPU(s) list:             0-11
 Thread(s) per core:              2
 Core(s) per socket:              6
 Socket(s):                       1
 NUMA node(s):                    1
 Vendor ID:                       GenuineIntel
 CPU family:                      6
 Model:                           85
 Model name:                      Intel(R) Xeon(R) Gold 6128 CPU @ 3.40GHz
 Stepping:                        4
 CPU MHz:                         1200.030
 CPU max MHz:                     3700.0000
 CPU min MHz:                     1200.0000
 BogoMIPS:                        6800.00
 L1d cache:                       192 KiB
 L1i cache:                       192 KiB
 L2 cache:                        6 MiB
 L3 cache:                        19.3 MiB
 NUMA node0 CPU(s):               0-11
 Vulnerability Itlb multihit:     KVM: Mitigation: VMX unsupported
 Vulnerability L1tf:              Mitigation; PTE Inversion
 Vulnerability Mds:               Mitigation; Clear CPU buffers; SMT vulnerable
 Vulnerability Meltdown:          Mitigation; PTI
 Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
 Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
 Vulnerability Spectre v2:        Mitigation; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
 Vulnerability Srbds:             Not affected
 Vulnerability Tsx async abort:   Mitigation; Clear CPU buffers; SMT vulnerable
 Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke md_clear flush_l1d
 
 ***CMake***
 /home/pgali/anaconda3/envs/cudf_dev/bin/cmake
 cmake version 3.18.5
 
 CMake suite maintained and supported by Kitware (kitware.com/cmake).
 
 ***g++***
 /usr/bin/g++
 g++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
 Copyright (C) 2019 Free Software Foundation, Inc.
 This is free software; see the source for copying conditions.  There is NO
 warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
 
 
 ***nvcc***
 /usr/local/cuda/bin/nvcc
 nvcc: NVIDIA (R) Cuda compiler driver
 Copyright (c) 2005-2020 NVIDIA Corporation
 Built on Wed_Jul_22_19:09:09_PDT_2020
 Cuda compilation tools, release 11.0, V11.0.221
 Build cuda_11.0_bu.TC445_37.28845127_0
 
 ***Python***
 /home/pgali/anaconda3/envs/cudf_dev/bin/python
 Python 3.7.9
 
 ***Environment Variables***
 PATH                            : /home/pgali/anaconda3/envs/cudf_dev/bin:/home/pgali/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/local/cuda/bin
 LD_LIBRARY_PATH                 : :/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    : /home/pgali/anaconda3/envs/cudf_dev
 PYTHON_PATH                     :
 
 ***conda packages***
 /home/pgali/anaconda3/condabin/conda
 # packages in environment at /home/pgali/anaconda3/envs/cudf_dev:
 #
 # Name                    Version                   Build  Channel
 _libgcc_mutex             0.1                 conda_forge    conda-forge
 _openmp_mutex             4.5                       1_gnu    conda-forge
 abseil-cpp                20200923.2           h9c3ff4c_1    conda-forge
 alabaster                 0.7.12                     py_0    conda-forge
 apipkg                    1.5                        py_0    conda-forge
 appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
 argon2-cffi               20.1.0           py37h4abf009_2    conda-forge
 arrow-cpp                 1.0.1           py37hf99d332_21_cuda    conda-forge
 arrow-cpp-proc            2.0.0                      cuda    conda-forge
 async_generator           1.10                       py_0    conda-forge
 attrs                     20.3.0             pyhd3deb0d_0    conda-forge
 aws-c-common              0.4.59               h36c2ea0_1    conda-forge
 aws-c-event-stream        0.1.6                had2084c_6    conda-forge
 aws-checksums             0.1.10               h4e93380_0    conda-forge
 aws-sdk-cpp               1.8.70               h57dc084_1    conda-forge
 babel                     2.9.0              pyhd3deb0d_0    conda-forge
 backcall                  0.2.0              pyh9f0ad1d_0    conda-forge
 backports                 1.0                        py_2    conda-forge
 backports.functools_lru_cache 1.6.1                      py_0    conda-forge
 black                     19.10b0                    py_4    conda-forge
 bleach                    3.2.1              pyh9f0ad1d_0    conda-forge
 bokeh                     2.2.3            py37h89c1867_0    conda-forge
 boost-cpp                 1.74.0               h9d3c048_1    conda-forge
 brotli                    1.0.9                h9c3ff4c_4    conda-forge
 brotlipy                  0.7.0           py37hb5d75c8_1001    conda-forge
 bzip2                     1.0.8                h7f98852_4    conda-forge
 c-ares                    1.17.1               h36c2ea0_0    conda-forge
 ca-certificates           2020.12.5            ha878542_0    conda-forge
 certifi                   2020.12.5        py37h89c1867_1    conda-forge
 cffi                      1.14.4           py37hc58025e_1    conda-forge
 cfgv                      3.2.0                      py_0    conda-forge
 chardet                   4.0.0            py37h89c1867_1    conda-forge
 clang                     8.0.1                hc9558a2_2    conda-forge
 clang-tools               8.0.1                hc9558a2_2    conda-forge
 clangxx                   8.0.1                         2    conda-forge
 click                     7.1.2              pyh9f0ad1d_0    conda-forge
 cloudpickle               1.6.0                      py_0    conda-forge
 cmake                     3.18.5               h1f3970d_0    rapidsai-nightly
 cmake_setuptools          0.1.3                      py_0    rapidsai
 colorama                  0.4.4              pyh9f0ad1d_0    conda-forge
 commonmark                0.9.1                      py_0    conda-forge
 cryptography              3.3.1            py37h7f0c10b_1    conda-forge
 cudatoolkit               11.0.221             h6bb024c_0    nvidia
 cudf                      0.18.0a0+163.g2f26bc2ab1          pypi_0    pypi
 cudnn                     8.0.0                cuda11.0_0    nvidia
 cupy                      8.0.0            py37h0ce7dbb_0    rapidsai
 cython                    0.29.21          py37hcd2ae1e_2    conda-forge
 cytoolz                   0.11.0           py37h4abf009_1    conda-forge
 dask                      2020.12.0+34.g4f4d2950          pypi_0    pypi
 dask-cudf                 0.18.0a0+163.g2f26bc2ab1.dirty          pypi_0    pypi
 decorator                 4.4.2                      py_0    conda-forge
 defusedxml                0.6.0                      py_0    conda-forge
 distlib                   0.3.1              pyh9f0ad1d_0    conda-forge
 distributed               2020.12.0+21.g658fccc3          pypi_0    pypi
 dlpack                    0.3                  he1b5a44_1    conda-forge
 docutils                  0.16             py37h89c1867_3    conda-forge
 double-conversion         3.1.5                he1b5a44_2    conda-forge
 editdistance              0.5.3            py37hcd2ae1e_3    conda-forge
 entrypoints               0.3             pyhd8ed1ab_1003    conda-forge
 execnet                   1.7.1                      py_0    conda-forge
 expat                     2.2.9                he1b5a44_2    conda-forge
 fastavro                  1.2.3            py37h5e8e339_0    conda-forge
 fastrlock                 0.5              py37hcd2ae1e_2    conda-forge
 filelock                  3.0.12             pyh9f0ad1d_0    conda-forge
 flake8                    3.8.3                      py_1    conda-forge
 flatbuffers               1.12.0               h58526e2_0    conda-forge
 freetype                  2.10.4               h7ca028e_0    conda-forge
 fsspec                    0.8.5              pyhd8ed1ab_0    conda-forge
 future                    0.18.2           py37h89c1867_3    conda-forge
 gflags                    2.2.2             he1b5a44_1004    conda-forge
 glog                      0.4.0                h49b9bf7_3    conda-forge
 gmp                       6.2.1                h58526e2_0    conda-forge
 grpc-cpp                  1.34.0               hf41bbd9_0    conda-forge
 heapdict                  1.0.1                      py_0    conda-forge
 hypothesis                6.0.0              pyhd8ed1ab_0    conda-forge
 icu                       68.1                 h58526e2_0    conda-forge
 identify                  1.5.12             pyhd3deb0d_0    conda-forge
 idna                      2.10               pyh9f0ad1d_0    conda-forge
 imagesize                 1.2.0                      py_0    conda-forge
 importlib-metadata        2.0.0                      py_1    conda-forge
 importlib_metadata        2.0.0                         1    conda-forge
 iniconfig                 1.1.1              pyh9f0ad1d_0    conda-forge
 ipykernel                 5.4.2            py37h888b3d9_0    conda-forge
 ipython                   7.19.0           py37h888b3d9_1    conda-forge
 ipython_genutils          0.2.0                      py_1    conda-forge
 isort                     5.0.7            py37hc8dfbb8_0    conda-forge
 jedi                      0.17.2           py37h89c1867_1    conda-forge
 jinja2                    2.11.2             pyh9f0ad1d_0    conda-forge
 jpeg                      9d                   h36c2ea0_0    conda-forge
 jsonschema                3.2.0                      py_2    conda-forge
 jupyter_client            6.1.11             pyhd8ed1ab_1    conda-forge
 jupyter_core              4.7.0            py37h89c1867_0    conda-forge
 jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
 krb5                      1.17.2               h926e7f8_0    conda-forge
 lcms2                     2.11                 hcbb858e_1    conda-forge
 ld_impl_linux-64          2.35.1               hea4e1c9_1    conda-forge
 libblas                   3.9.0                7_openblas    conda-forge
 libcblas                  3.9.0                7_openblas    conda-forge
 libcurl                   7.71.1               hcdd3856_8    conda-forge
 libedit                   3.1.20191231         he28a2e2_2    conda-forge
 libev                     4.33                 h516909a_1    conda-forge
 libevent                  2.1.10               hcdb4288_3    conda-forge
 libffi                    3.3                  h58526e2_2    conda-forge
 libgcc-ng                 9.3.0               h5dbcf3e_17    conda-forge
 libgfortran-ng            9.3.0               he4bcb1c_17    conda-forge
 libgfortran5              9.3.0               he4bcb1c_17    conda-forge
 libgomp                   9.3.0               h5dbcf3e_17    conda-forge
 liblapack                 3.9.0                7_openblas    conda-forge
 libllvm10                 10.0.1               he513fc3_3    conda-forge
 libllvm8                  8.0.1                hc9558a2_0    conda-forge
 libnghttp2                1.41.0               h8cfc5f6_2    conda-forge
 libopenblas               0.3.12          pthreads_h4812303_1    conda-forge
 libpng                    1.6.37               h21135ba_2    conda-forge
 libprotobuf               3.14.0               h780b84a_0    conda-forge
 librmm                    0.18.0a210112   cuda11.0_g94b083a_20    rapidsai-nightly
 libsodium                 1.0.18               h36c2ea0_1    conda-forge
 libssh2                   1.9.0                hab1572f_5    conda-forge
 libstdcxx-ng              9.3.0               h2ae2ef3_17    conda-forge
 libthrift                 0.13.0               h5aa387f_6    conda-forge
 libtiff                   4.2.0                hdc55705_0    conda-forge
 libutf8proc               2.6.1                h7f98852_0    conda-forge
 libuv                     1.40.0               h7f98852_0    conda-forge
 libwebp-base              1.1.0                h36c2ea0_3    conda-forge
 llvmlite                  0.35.0           py37h9d7f4d0_1    conda-forge
 locket                    0.2.0                      py_2    conda-forge
 lz4-c                     1.9.3                h9c3ff4c_0    conda-forge
 markdown                  3.3.3              pyh9f0ad1d_0    conda-forge
 markupsafe                1.1.1            py37h5e8e339_3    conda-forge
 mccabe                    0.6.1                      py_1    conda-forge
 mimesis                   4.0.0              pyh9f0ad1d_0    conda-forge
 mistune                   0.8.4           py37h5e8e339_1003    conda-forge
 more-itertools            8.6.0              pyhd8ed1ab_0    conda-forge
 msgpack-python            1.0.2            py37h2527ec5_1    conda-forge
 nbclient                  0.5.1                      py_0    conda-forge
 nbconvert                 6.0.7            py37h89c1867_3    conda-forge
 nbformat                  5.0.8                      py_0    conda-forge
 nbsphinx                  0.8.0              pyhd3deb0d_0    conda-forge
 nccl                      2.7.8.1            h4962215_100    nvidia
 ncurses                   6.2                  h58526e2_4    conda-forge
 nest-asyncio              1.4.3              pyhd8ed1ab_0    conda-forge
 nodeenv                   1.5.0              pyh9f0ad1d_0    conda-forge
 notebook                  6.1.6            py37h89c1867_0    conda-forge
 numba                     0.52.0           py37hdc94413_0    conda-forge
 numpy                     1.19.5           py37haa41c4c_1    conda-forge
 numpydoc                  1.1.0                      py_1    conda-forge
 nvtx                      0.2.1            py37h5e8e339_2    conda-forge
 olefile                   0.46               pyh9f0ad1d_1    conda-forge
 openssl                   1.1.1i               h7f98852_0    conda-forge
 orc                       1.6.6                h7950760_1    conda-forge
 packaging                 20.8               pyhd3deb0d_0    conda-forge
 pandas                    1.1.5            py37hdc94413_0    conda-forge
 pandoc                    1.19.2                        0    conda-forge
 pandocfilters             1.4.2                      py_1    conda-forge
 parquet-cpp               1.5.1                         2    conda-forge
 parso                     0.7.1              pyh9f0ad1d_0    conda-forge
 partd                     1.1.0                      py_0    conda-forge
 pathspec                  0.8.1              pyhd3deb0d_0    conda-forge
 pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
 pickleshare               0.7.5                   py_1003    conda-forge
 pillow                    8.1.0            py37he6b4880_1    conda-forge
 pip                       20.3.3             pyhd8ed1ab_0    conda-forge
 pluggy                    0.13.1           py37h89c1867_4    conda-forge
 pre-commit                2.9.3            py37h89c1867_0    conda-forge
 pre_commit                2.9.3                hd8ed1ab_0    conda-forge
 prometheus_client         0.9.0              pyhd3deb0d_0    conda-forge
 prompt-toolkit            3.0.10             pyha770c72_0    conda-forge
 protobuf                  3.14.0           py37hcd2ae1e_1    conda-forge
 psutil                    5.8.0            py37h5e8e339_1    conda-forge
 ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
 py                        1.10.0             pyhd3deb0d_0    conda-forge
 py-cpuinfo                7.0.0              pyh9f0ad1d_0    conda-forge
 pyarrow                   1.0.1           py37h9267296_21_cuda    conda-forge
 pycodestyle               2.6.0              pyh9f0ad1d_0    conda-forge
 pycparser                 2.20               pyh9f0ad1d_2    conda-forge
 pyflakes                  2.2.0              pyh9f0ad1d_0    conda-forge
 pygments                  2.7.3              pyhd8ed1ab_0    conda-forge
 pyopenssl                 20.0.1             pyhd8ed1ab_0    conda-forge
 pyorc                     0.4.0                    pypi_0    pypi
 pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
 pyrsistent                0.17.3           py37h5e8e339_2    conda-forge
 pysocks                   1.7.1            py37h89c1867_3    conda-forge
 pytest                    6.2.1            py37h89c1867_1    conda-forge
 pytest-benchmark          3.2.3              pyh9f0ad1d_0    conda-forge
 pytest-forked             1.2.0              pyh9f0ad1d_0    conda-forge
 pytest-xdist              2.2.0              pyhd8ed1ab_0    conda-forge
 python                    3.7.9           hffdb5ce_0_cpython    conda-forge
 python-dateutil           2.8.1                      py_0    conda-forge
 python_abi                3.7                     1_cp37m    conda-forge
 pytz                      2020.5             pyhd8ed1ab_0    conda-forge
 pyyaml                    5.3.1            py37h5e8e339_2    conda-forge
 pyzmq                     20.0.0           py37h499b945_1    conda-forge
 rapidjson                 1.1.0             he1b5a44_1002    conda-forge
 re2                       2020.11.01           h58526e2_0    conda-forge
 readline                  8.0                  he28a2e2_2    conda-forge
 recommonmark              0.7.1              pyhd8ed1ab_0    conda-forge
 regex                     2020.11.13       py37h5e8e339_1    conda-forge
 requests                  2.25.1             pyhd3deb0d_0    conda-forge
 rhash                     1.4.1                h7f98852_0    conda-forge
 rmm                       0.18.0a210112   cuda_11.0_py37_g94b083a_20    rapidsai-nightly
 send2trash                1.5.0                      py_0    conda-forge
 setuptools                49.6.0           py37h89c1867_3    conda-forge
 six                       1.15.0             pyh9f0ad1d_0    conda-forge
 snappy                    1.1.8                he1b5a44_3    conda-forge
 snowballstemmer           2.0.0                      py_0    conda-forge
 sortedcontainers          2.3.0              pyhd8ed1ab_0    conda-forge
 spdlog                    1.7.0                hc9558a2_2    conda-forge
 sphinx                    3.4.3              pyhd8ed1ab_0    conda-forge
 sphinx-copybutton         0.3.1              pyhd8ed1ab_0    conda-forge
 sphinx-markdown-tables    0.0.15             pyhd3deb0d_0    conda-forge
 sphinx_rtd_theme          0.5.1              pyhd3deb0d_0    conda-forge
 sphinxcontrib-applehelp   1.0.2                      py_0    conda-forge
 sphinxcontrib-devhelp     1.0.2                      py_0    conda-forge
 sphinxcontrib-htmlhelp    1.0.3                      py_0    conda-forge
 sphinxcontrib-jsmath      1.0.1                      py_0    conda-forge
 sphinxcontrib-qthelp      1.0.3                      py_0    conda-forge
 sphinxcontrib-serializinghtml 1.1.4                      py_0    conda-forge
 sphinxcontrib-websupport  1.2.4              pyh9f0ad1d_0    conda-forge
 sqlite                    3.34.0               h74cdb3f_0    conda-forge
 streamz                   0.6.1              pyhd3deb0d_1    conda-forge
 tblib                     1.6.0                      py_0    conda-forge
 terminado                 0.9.2            py37h89c1867_0    conda-forge
 testpath                  0.4.4                      py_0    conda-forge
 tk                        8.6.10               h21135ba_1    conda-forge
 toml                      0.10.2             pyhd8ed1ab_0    conda-forge
 toolz                     0.11.1                     py_0    conda-forge
 tornado                   6.1              py37h5e8e339_1    conda-forge
 traitlets                 5.0.5                      py_0    conda-forge
 typed-ast                 1.4.2            py37h5e8e339_0    conda-forge
 typing_extensions         3.7.4.3                    py_0    conda-forge
 urllib3                   1.26.2             pyhd8ed1ab_0    conda-forge
 virtualenv                20.3.0           py37h89c1867_0    conda-forge
 wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
 webencodings              0.5.1                      py_1    conda-forge
 wheel                     0.36.2             pyhd3deb0d_0    conda-forge
 xz                        5.2.5                h516909a_1    conda-forge
 yaml                      0.2.5                h516909a_0    conda-forge
 zeromq                    4.3.3                h58526e2_3    conda-forge
 zict                      2.0.0                      py_0    conda-forge
 zipp                      3.4.0                      py_0    conda-forge
 zlib                      1.2.11            h516909a_1010    conda-forge
 zstd                      1.4.8                ha95c52a_1    conda-forge

Additional context
Surfaced while running fuzz tests: #6001
@galipremsagar galipremsagar added bug Something isn't working Python Affects Python cuDF API. labels Jan 13, 2021
@devavret
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This is similar to the issue I was facing in #6075 in the cython bindings. #6075 (comment). @shwina fixed it like this 5a17311. Since there's a similar metadata construction in to_arrow()

cudf/python/cudf/cudf/core/dataframe.py

Lines 5191 to 5198 in 4a1e465

metadata = pa.pandas_compat.construct_metadata(
self,
out.schema.names,
[self.index],
index_descr,
preserve_index,
types=out.schema.types,
)
we can do the same fix here as well.

@galipremsagar galipremsagar self-assigned this Jan 13, 2021
This was referenced Jan 14, 2021
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rapids-bot bot pushed a commit that referenced this issue Jan 20, 2021
@galipremsagar
Fix importing list & struct types in from_arrow(#7162)
0515a42 
Fixes: #7137, #7148

This PR fixes converting a pyarrow table which has llist and struct types via `from_arrow`. Incase of `list` dtype we shouldn't have to perform any typecast and incase of `struct` dtype we should be renaming the fields appropriately.

Authors:
  - galipremsagar <[email protected]>

Approvers:
  - Ram (Ramakrishna Prabhu) (@rgsl888prabhu)
  - Keith Kraus (@kkraus14)

URL: #7162
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[REVIEW] Fix importing list & struct types in from_arrow galipremsagar/cudf
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@devavret @galipremsagar