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[BUG] Display issue with IntervalIndex containing nulls #9863

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isVoid opened this issue Dec 8, 2021 · 4 comments
Closed

[BUG] Display issue with IntervalIndex containing nulls #9863

isVoid opened this issue Dec 8, 2021 · 4 comments
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bug Something isn't working Python Affects Python cuDF API.

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@isVoid
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isVoid commented Dec 8, 2021

Describe the bug
Today we can display interval index that contains no nulls

In [34]: x = cudf.from_pandas(pd.IntervalIndex([pd.Interval(1, 2), pd.Interval(3, 4)]))
In [35]: x
Out[35]: IntervalIndex([(1, 2], (3, 4]], dtype='interval')

But if source data contains null, nothing is displayed

In [36]: x = cudf.from_pandas(pd.IntervalIndex([pd.Interval(1, 2), None, pd.Interval(3, 4)]))

In [37]: x
Out[37]: 

Expected behavior
Pandas output:

In [39]: pd.IntervalIndex([pd.Interval(1, 2), None, pd.Interval(3, 4)])
Out[39]: IntervalIndex([(1.0, 2.0], nan, (3.0, 4.0]], dtype='interval[float64, right]')

Referring to our current behavior, I think it's ok to output

IntervalIndex([(1.0, 2.0], <NA>, (3.0, 4.0]], dtype='interval')

for now.

Environment overview (please complete the following information)

  • Environment location: [compose]
  • Method of cuDF install: [compose]

Environment details

Click here to see environment details
 **git***
 commit 72e1ea4ba6d5d589fcc31ba6dadd651e73562839 (HEAD -> catogorical_refactor)
 Author: Michael Wang <[email protected]>
 Date:   Tue Dec 7 15:15:12 2021 -0800
 
 more concatenation cleanup
 **git submodules***
 
 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=20.04
 DISTRIB_CODENAME=focal
 DISTRIB_DESCRIPTION="Ubuntu 20.04.3 LTS"
 NAME="Ubuntu"
 VERSION="20.04.3 LTS (Focal Fossa)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 20.04.3 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 yhw-HP-Z8-G4-Workstation 5.11.0-40-generic #44~20.04.2-Ubuntu SMP Tue Oct 26 18:07:44 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
 
 ***GPU Information***
 Tue Dec  7 16:50:08 2021
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 495.29.05    Driver Version: 495.29.05    CUDA Version: 11.5     |
 |-------------------------------+----------------------+----------------------+
 | 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     On   | 00000000:15:00.0 Off |                  Off |
 | 34%   39C    P8    27W / 260W |   1435MiB / 48601MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 
 +-----------------------------------------------------------------------------+
 | Processes:                                                                  |
 |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
 |        ID   ID                                                   Usage      |
 |=============================================================================|
 +-----------------------------------------------------------------------------+
 
 ***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:                         3700.001
 CPU max MHz:                     3700.0000
 CPU min MHz:                     1200.0000
 BogoMIPS:                        6800.00
 Virtualization:                  VT-x
 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 disabled
 Vulnerability L1tf:              Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
 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 vmx 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 tpr_shadow vnmi flexpriority ept vpid ept_ad 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/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids/bin/cmake
 cmake version 3.21.3
 
 CMake suite maintained and supported by Kitware (kitware.com/cmake).
 
 ***g++***
 /usr/local/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/bin/nvcc
 nvcc: NVIDIA (R) Cuda compiler driver
 Copyright (c) 2005-2021 NVIDIA Corporation
 Built on Mon_Sep_13_19:13:29_PDT_2021
 Cuda compilation tools, release 11.5, V11.5.50
 Build cuda_11.5.r11.5/compiler.30411180_0
 
 ***Python***
 /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids/bin/python
 Python 3.8.12
 
 ***Environment Variables***
 PATH                            : /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids/bin:/home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/cuda/bin
 LD_LIBRARY_PATH                 : /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids/lib:/home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/lib:/home/yhw/dev/rapids/rmm/build/release:/home/yhw/dev/rapids/cudf/cpp/build/release:/home/yhw/dev/rapids/raft/cpp/build/release:/home/yhw/dev/rapids/cuml/cpp/build/release:/home/yhw/dev/rapids/cugraph/cpp/build/release:/home/yhw/dev/rapids/cuspatial/cpp/build/release
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    : /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids
 PYTHON_PATH                     :
 
 ***conda packages***
 /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/bin/conda
 # packages in environment at /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids:
 #
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 _openmp_mutex             4.5                      1_llvm    conda-forge
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 alabaster                 0.7.12                     py_0    conda-forge
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 argon2-cffi               21.1.0           py38h497a2fe_2    conda-forge
 arrow-cpp                 5.0.0           py38h5b78be3_17_cuda    conda-forge
 arrow-cpp-proc            3.0.0                      cuda    conda-forge
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 cachetools                4.2.4              pyhd8ed1ab_0    conda-forge
 certifi                   2021.10.8        py38h578d9bd_1    conda-forge
 cffi                      1.15.0           py38h3931269_0    conda-forge
 cfgv                      3.3.1              pyhd8ed1ab_0    conda-forge
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 click                     8.0.3            py38h578d9bd_1    conda-forge
 cloudpickle               2.0.0              pyhd8ed1ab_0    conda-forge
 cmake                     3.21.3               h8897547_0    conda-forge
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 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              36.0.0           py38h3e25421_0    conda-forge
 cudatoolkit               11.5.0               h36ae40a_9    nvidia
 cupy                      9.6.0            py38h177b0fd_0    conda-forge
 cyrus-sasl                2.1.27               h230043b_5    conda-forge
 cython                    0.29.24          py38h709712a_1    conda-forge
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 dask                      2021.11.2+18.g43247806          pypi_0    pypi
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 dlpack                    0.5                  h9c3ff4c_0    conda-forge
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 editdistance-s            1.0.0            py38h1fd1430_2    conda-forge
 entrypoints               0.3             py38h32f6830_1002    conda-forge
 execnet                   1.9.0              pyhd8ed1ab_0    conda-forge
 expat                     2.4.1                h9c3ff4c_0    conda-forge
 fastavro                  1.4.7            py38h497a2fe_1    conda-forge
 fastrlock                 0.8              py38h709712a_1    conda-forge
 filelock                  3.4.0              pyhd8ed1ab_0    conda-forge
 flake8                    3.8.3                      py_1    conda-forge
 freetype                  2.10.4               h0708190_1    conda-forge
 fsspec                    2021.11.1          pyhd8ed1ab_0    conda-forge
 future                    0.18.2           py38h578d9bd_4    conda-forge
 gcc_impl_linux-64         11.2.0              h82a94d6_11    conda-forge
 gcovr                     5.0                pyhd8ed1ab_0    conda-forge
 gettext                   0.19.8.1          h73d1719_1008    conda-forge
 gflags                    2.2.2             he1b5a44_1004    conda-forge
 glog                      0.5.0                h48cff8f_0    conda-forge
 gmp                       6.2.1                h58526e2_0    conda-forge
 grpc-cpp                  1.42.0               h7e358d9_0    conda-forge
 heapdict                  1.0.1                      py_0    conda-forge
 huggingface_hub           0.1.2              pyhd8ed1ab_0    conda-forge
 hypothesis                6.30.1             pyhd8ed1ab_0    conda-forge
 icu                       69.1                 h9c3ff4c_0    conda-forge
 identify                  2.3.7              pyhd8ed1ab_0    conda-forge
 idna                      3.1                pyhd3deb0d_0    conda-forge
 imagesize                 1.3.0              pyhd8ed1ab_0    conda-forge
 importlib-metadata        4.8.2            py38h578d9bd_0    conda-forge
 importlib_metadata        4.8.2                hd8ed1ab_0    conda-forge
 importlib_resources       5.4.0              pyhd8ed1ab_0    conda-forge
 iniconfig                 1.1.1              pyh9f0ad1d_0    conda-forge
 ipykernel                 6.5.0            py38he5a9106_1    conda-forge
 ipython                   7.30.1           py38h578d9bd_0    conda-forge
 ipython_genutils          0.2.0                      py_1    conda-forge
 isort                     5.6.4                      py_0    conda-forge
 jbig                      2.1               h7f98852_2003    conda-forge
 jedi                      0.18.1           py38h578d9bd_0    conda-forge
 jinja2                    3.0.3              pyhd8ed1ab_0    conda-forge
 joblib                    1.1.0              pyhd8ed1ab_0    conda-forge
 jpeg                      9d                   h36c2ea0_0    conda-forge
 jsonschema                4.2.1              pyhd8ed1ab_0    conda-forge
 jupyter_client            7.1.0              pyhd8ed1ab_0    conda-forge
 jupyter_core              4.9.1            py38h578d9bd_1    conda-forge
 jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
 kernel-headers_linux-64   2.6.32              he073ed8_15    conda-forge
 krb5                      1.19.2               hcc1bbae_3    conda-forge
 lcms2                     2.12                 hddcbb42_0    conda-forge
 ld_impl_linux-64          2.36.1               hea4e1c9_2    conda-forge
 lerc                      3.0                  h9c3ff4c_0    conda-forge
 libblas                   3.9.0            12_linux64_mkl    conda-forge
 libbrotlicommon           1.0.9                h7f98852_6    conda-forge
 libbrotlidec              1.0.9                h7f98852_6    conda-forge
 libbrotlienc              1.0.9                h7f98852_6    conda-forge
 libcblas                  3.9.0            12_linux64_mkl    conda-forge
 libclang-cpp11.1          11.1.0          default_ha53f305_1    conda-forge
 libcurl                   7.80.0               h2574ce0_0    conda-forge
 libdeflate                1.8                  h7f98852_0    conda-forge
 libedit                   3.1.20191231         he28a2e2_2    conda-forge
 libev                     4.33                 h516909a_1    conda-forge
 libevent                  2.1.10               h9b69904_4    conda-forge
 libffi                    3.4.2                h7f98852_5    conda-forge
 libgcc-devel_linux-64     11.2.0              h0952999_11    conda-forge
 libgcc-ng                 11.2.0              h1d223b6_11    conda-forge
 libgcrypt                 1.9.4                h7f98852_0    conda-forge
 libgomp                   11.2.0              h1d223b6_11    conda-forge
 libgpg-error              1.42                 h9c3ff4c_0    conda-forge
 libgsasl                  1.10.0               h5b4c23d_0    conda-forge
 libiconv                  1.16                 h516909a_0    conda-forge
 liblapack                 3.9.0            12_linux64_mkl    conda-forge
 libllvm11                 11.1.0               hf817b99_2    conda-forge
 libnghttp2                1.43.0               h812cca2_1    conda-forge
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 libntlm                   1.4               h7f98852_1002    conda-forge
 libpng                    1.6.37               h21135ba_2    conda-forge
 libprotobuf               3.18.1               h780b84a_0    conda-forge
 librdkafka                1.7.0                hc49e61c_0    conda-forge
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 libsodium                 1.0.18               h36c2ea0_1    conda-forge
 libssh2                   1.10.0               ha56f1ee_2    conda-forge
 libstdcxx-ng              11.2.0              he4da1e4_11    conda-forge
 libthrift                 0.15.0               he6d91bd_1    conda-forge
 libtiff                   4.3.0                h6f004c6_2    conda-forge
 libutf8proc               2.6.1                h7f98852_0    conda-forge
 libuv                     1.42.0               h7f98852_0    conda-forge
 libwebp-base              1.2.1                h7f98852_0    conda-forge
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 libxslt                   1.1.33               h0ef7038_3    conda-forge
 libzlib                   1.2.11            h36c2ea0_1013    conda-forge
 llvm-openmp               12.0.1               h4bd325d_1    conda-forge
 llvmlite                  0.37.0           py38h4630a5e_1    conda-forge
 locket                    0.2.0                      py_2    conda-forge
 lxml                      4.6.4            py38hf1fe3a4_0    conda-forge
 lz4-c                     1.9.3                h9c3ff4c_1    conda-forge
 markdown                  3.3.6              pyhd8ed1ab_0    conda-forge
 markupsafe                2.0.1            py38h497a2fe_1    conda-forge
 matplotlib-inline         0.1.3              pyhd8ed1ab_0    conda-forge
 mccabe                    0.6.1                      py_1    conda-forge
 mimesis                   4.0.0              pyh9f0ad1d_0    conda-forge
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 mkl                       2021.4.0           h8d4b97c_729    conda-forge
 more-itertools            8.12.0             pyhd8ed1ab_0    conda-forge
 msgpack-python            1.0.3            py38h1fd1430_0    conda-forge
 mypy                      0.782                      py_0    conda-forge
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 nbconvert                 6.3.0            py38h578d9bd_1    conda-forge
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 nbsphinx                  0.8.7              pyhd8ed1ab_0    conda-forge
 ncurses                   6.2                  h58526e2_4    conda-forge
 nest-asyncio              1.5.1              pyhd8ed1ab_0    conda-forge
 ninja                     1.10.2               h4bd325d_1    conda-forge
 nodeenv                   1.6.0              pyhd8ed1ab_0    conda-forge
 notebook                  6.4.6              pyha770c72_0    conda-forge
 numba                     0.54.1           py38h4bf6c61_0    conda-forge
 numpy                     1.20.3           py38h9894fe3_1    conda-forge
 numpydoc                  1.1.0                      py_1    conda-forge
 nvtx                      0.2.3            py38h497a2fe_1    conda-forge
 olefile                   0.46               pyh9f0ad1d_1    conda-forge
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 openssl                   1.1.1l               h7f98852_0    conda-forge
 orc                       1.7.1                h68e2c4e_0    conda-forge
 packaging                 21.3               pyhd8ed1ab_0    conda-forge
 pandas                    1.3.4            py38h43a58ef_1    conda-forge
 pandoc                    1.19.2                        0    conda-forge
 pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge
 parquet-cpp               1.5.1                         1    conda-forge
 parso                     0.8.2              pyhd8ed1ab_0    conda-forge
 partd                     1.2.0              pyhd8ed1ab_0    conda-forge
 pathspec                  0.9.0              pyhd8ed1ab_0    conda-forge
 pexpect                   4.8.0            py38h32f6830_1    conda-forge
 pickleshare               0.7.5           py38h32f6830_1002    conda-forge
 pillow                    8.4.0            py38h8e6f84c_0    conda-forge
 pip                       21.3.1             pyhd8ed1ab_0    conda-forge
 pluggy                    1.0.0            py38h578d9bd_2    conda-forge
 pre-commit                2.16.0           py38h578d9bd_0    conda-forge
 prometheus_client         0.12.0             pyhd8ed1ab_0    conda-forge
 prompt-toolkit            3.0.22             pyha770c72_0    conda-forge
 protobuf                  3.18.1           py38h709712a_0    conda-forge
 psutil                    5.8.0            py38h497a2fe_2    conda-forge
 ptvsd                     4.3.2                    pypi_0    pypi
 ptxcompiler               0.1.0            py38hb739d79_0    rapidsai
 ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge
 pudb                      2021.2.2                 pypi_0    pypi
 py                        1.11.0             pyh6c4a22f_0    conda-forge
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 pyarrow                   5.0.0           py38hb90f683_17_cuda    conda-forge
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 python                    3.8.12          hb7a2778_2_cpython    conda-forge
 python-confluent-kafka    1.7.0            py38h497a2fe_2    conda-forge
 python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge
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 python_abi                3.8                      2_cp38    conda-forge
 pytorch                   1.10.0          cpu_py38h1ee18c8_0    conda-forge
 pytz                      2021.3             pyhd8ed1ab_0    conda-forge
 pyyaml                    6.0              py38h497a2fe_3    conda-forge
 pyzmq                     22.3.0           py38h2035c66_1    conda-forge
 rapidjson                 1.1.0             he1b5a44_1002    conda-forge
 re2                       2021.11.01           h9c3ff4c_0    conda-forge
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 regex                     2021.11.10       py38h497a2fe_0    conda-forge
 requests                  2.26.0             pyhd8ed1ab_1    conda-forge
 rhash                     1.4.1                h7f98852_0    conda-forge
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 six                       1.16.0             pyh6c4a22f_0    conda-forge
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 sphinxcontrib-serializinghtml 1.1.5              pyhd8ed1ab_1    conda-forge
 sphinxcontrib-websupport  1.2.4              pyhd8ed1ab_1    conda-forge
 sqlite                    3.37.0               h9cd32fc_0    conda-forge
 streamz                   0.6.3              pyh6c4a22f_0    conda-forge
 sysroot_linux-64          2.12                he073ed8_15    conda-forge
 tbb                       2021.4.0             h4bd325d_1    conda-forge
 tblib                     1.7.0              pyhd8ed1ab_0    conda-forge
 terminado                 0.12.1           py38h578d9bd_1    conda-forge
 testpath                  0.5.0              pyhd8ed1ab_0    conda-forge
 tk                        8.6.11               h27826a3_1    conda-forge
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 toml                      0.10.2             pyhd8ed1ab_0    conda-forge
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 tornado                   6.1              py38h497a2fe_2    conda-forge
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 urllib3                   1.26.7             pyhd8ed1ab_0    conda-forge
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 virtualenv                20.4.7           py38h578d9bd_1    conda-forge
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 webencodings              0.5.1                      py_1    conda-forge
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 zlib                      1.2.11            h36c2ea0_1013    conda-forge
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@isVoid isVoid added bug Something isn't working Needs Triage Need team to review and classify labels Dec 8, 2021
@isVoid isVoid added the Python Affects Python cuDF API. label Dec 8, 2021
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This issue has been labeled inactive-30d due to no recent activity in the past 30 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be labeled inactive-90d if there is no activity in the next 60 days.

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This issue has been labeled inactive-90d due to no recent activity in the past 90 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.

@GregoryKimball GregoryKimball removed the Needs Triage Need team to review and classify label Jun 24, 2022
@vyasr
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vyasr commented Oct 24, 2022

With some of the recent refactors of Index internals we now get a much clearer error here:

>>> cudf.from_pandas(pd.IntervalIndex([pd.Interval(1, 2), None, pd.Interval(3, 4)]))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/nvme/0/vyasr/rapids/compose/etc/conda/cuda_11.5/envs/rapids/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/nvme/0/vyasr/rapids/cudf/python/cudf/cudf/core/index.py", line 1286, in __repr__
    output = repr(self._clean_nulls_from_index().to_pandas())
  File "/nvme/0/vyasr/rapids/cudf/python/cudf/cudf/core/index.py", line 1456, in _clean_nulls_from_index
    self._values.astype("str").fillna(cudf._NA_REP), name=self.name
  File "/nvme/0/vyasr/rapids/cudf/python/cudf/cudf/core/column/column.py", line 867, in astype
    return self.as_string_column(dtype, **kwargs)
  File "/nvme/0/vyasr/rapids/cudf/python/cudf/cudf/core/column/column.py", line 965, in as_string_column
    raise NotImplementedError
NotImplementedError

What is missing is a string representation of IntervalColumn:

>>> x.astype("str")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/nvme/0/vyasr/rapids/compose/etc/conda/cuda_11.5/envs/rapids/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/nvme/0/vyasr/rapids/cudf/python/cudf/cudf/core/index.py", line 1124, in astype
    return _index_from_data(super().astype({self.name: dtype}, copy))
  File "/nvme/0/vyasr/rapids/compose/etc/conda/cuda_11.5/envs/rapids/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/nvme/0/vyasr/rapids/cudf/python/cudf/cudf/core/frame.py", line 328, in astype
    result[col_name] = col.astype(dt, copy=copy, **kwargs)
  File "/nvme/0/vyasr/rapids/cudf/python/cudf/cudf/core/column/column.py", line 867, in astype
    return self.as_string_column(dtype, **kwargs)
  File "/nvme/0/vyasr/rapids/cudf/python/cudf/cudf/core/column/column.py", line 965, in as_string_column
    raise NotImplementedError
NotImplementedError

or more clearly:

>>> x._column.as_string_column("str")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/nvme/0/vyasr/rapids/cudf/python/cudf/cudf/core/column/column.py", line 965, in as_string_column
    raise NotImplementedError
NotImplementedError

There are two options for solving this issue:

  • Overload the _clean_nulls_from_index method of IntervalIndex so that it does not rely on converting the underlying Column to a StringColumn, or
  • Implement IntervalColumn.as_string_column with proper handling of nulls.

@vyasr
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vyasr commented May 13, 2024

This was fixed in #13958

@vyasr vyasr closed this as completed May 13, 2024
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