Closed isVoid closed 2 years ago
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commented
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commented
3 years ago 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.
Magimaidass18
commented
3 years ago change it to pandas dataframe ,and then >>cudf.from_pandas(df) and then transpose it ...it will work
beckernick
commented
2 years ago This has been implemented. Closing.
import cudf
gdf = cudf.DataFrame({'a': ['a', 'b', 'c']})
print(gdf)
print(gdf.T)
a
0 a
1 b
2 c
0 1 2
a a b c
Is your feature request related to a problem? Please describe. In implementing #6483 , we realized there maybe a need to implement string column transpose to support future implementation of dataframe aggregations that contains string column. Currently:
Additional context Output of
print_env.shClick here to see environment details
**git*** commit f9b9efb791f5fbe7fc0db15a8de85ee150652196 (HEAD -> i6478) Merge: ee4cb90048 71d4c34e93 Author: Michael Wang
Date: Fri Nov 20 14:04:47 2020 -0800
Merge branch 'branch-0.17' of https://github.com/rapidsai/cudf into i6478
**git submodules***
***OS Information***
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=18.04
DISTRIB_CODENAME=bionic
DISTRIB_DESCRIPTION="Ubuntu 18.04.5 LTS"
NAME="Ubuntu"
VERSION="18.04.5 LTS (Bionic Beaver)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 18.04.5 LTS"
VERSION_ID="18.04"
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=bionic
UBUNTU_CODENAME=bionic
Linux wangm-ws 5.4.0-53-generic #59~18.04.1-Ubuntu SMP Wed Oct 21 12:14:56 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
***GPU Information***
Fri Nov 20 14:20:18 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.66 Driver Version: 450.66 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| 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 | 00000000:15:00.0 Off | Off |
| 33% 36C P8 26W / 260W | 11MiB / 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
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: 3699.999
CPU max MHz: 3700.0000
CPU min MHz: 1200.0000
BogoMIPS: 6800.00
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 19712K
NUMA node0 CPU(s): 0-11
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/wangm/dev/rapids/compose/etc/conda/cuda_10.2/envs/rapids/bin/cmake
cmake version 3.17.0
CMake suite maintained and supported by Kitware (kitware.com/cmake).
***g++***
/usr/local/bin/g++
g++ (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
Copyright (C) 2017 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) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_19:24:38_PDT_2019
Cuda compilation tools, release 10.2, V10.2.89
***Python***
/home/wangm/dev/rapids/compose/etc/conda/cuda_10.2/envs/rapids/bin/python
Python 3.7.8
***Environment Variables***
PATH : /home/wangm/dev/rapids/compose/etc/conda/cuda_10.2/envs/rapids/bin:/home/wangm/dev/rapids/compose/etc/conda/cuda_10.2/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/cuda-10.2/bin
LD_LIBRARY_PATH : /home/wangm/dev/rapids/compose/etc/conda/cuda_10.2/envs/rapids/lib:/home/wangm/dev/rapids/compose/etc/conda/cuda_10.2/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/i386-linux-gnu:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda-10.2/lib64:/usr/local/lib:/home/wangm/dev/rapids/rmm/build/release:/home/wangm/dev/rapids/cudf/cpp/build/release:/home/wangm/dev/rapids/cudf/cpp/build/release:/home/wangm/dev/rapids/cuml/cpp/build/release:/home/wangm/dev/rapids/cugraph/cpp/build/release:/home/wangm/dev/rapids/cuspatial/cpp/build/release
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX : /home/wangm/dev/rapids/compose/etc/conda/cuda_10.2/envs/rapids
PYTHON_PATH :
***conda packages***
/home/wangm/dev/rapids/compose/etc/conda/cuda_10.2/bin/conda
# packages in environment at /home/wangm/dev/rapids/compose/etc/conda/cuda_10.2/envs/rapids:
#
# Name Version Build Channel
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asvdb 0.4.1 gd6cd8f2_36 rapidsai
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tblib 1.6.0 py_0 conda-forge
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