[BUG] csv writer returning full-subsecond data incase of duration types

[galipremsagar]

Describe the bug
When there is a column with timedelta64 dtype and there is no sub-second data for a particular value, pandas doesn't output sub-second data as part of csv string output. But, whereas in cudf we are currently converting all values of the column with sub-second data.

Steps/Code to reproduce bug

In[2]: import pandas as pd
In[3]: pdf = pd.DataFrame()
In[4]: pdf['a'] = pd.Series([432343244342, 34223423423, 32432423432432], dtype='timedelta64[ns]')
In[5]: pdf
Out[5]: 
                          a
0 0 days 00:07:12.343244342
1 0 days 00:00:34.223423423
2 0 days 09:00:32.423432432
In[6]: pdf.to_csv()
Out[6]: ',a\n0,0 days 00:07:12.343244342\n1,0 days 00:00:34.223423423\n2,0 days 09:00:32.423432432\n'
In[7]: pdf['a'][0] = pd.Timedelta('106751 days 23:07:15')
In[8]: pdf
Out[8]: 
                          a
0      106751 days 23:07:15
1 0 days 00:00:34.223423423
2 0 days 09:00:32.423432432

# The value at 0-th index doesn't have any sub-second data, thus all the 9digits of sub-second data is not returned in csv
In[9]: pdf.to_csv()
Out[9]: ',a\n0,106751 days 23:07:15\n1,0 days 00:00:34.223423423\n2,0 days 09:00:32.423432432\n'
In[10]: import cudf
In[11]: gdf = cudf.from_pandas(pdf)
In[12]: gdf
Out[12]: 
                          a
0      106751 days 23:07:15
1 0 days 00:00:34.223423423
2 0 days 09:00:32.423432432

# Whereas incase of cudf, we are returning all 9digits of sub-second data irrespective of sub-second data being present or not.
In[13]: gdf.to_csv()
Out[13]: ',a\n0,106751 days 23:07:15.000000000\n1,0 days 00:00:34.223423423\n2,0 days 09:00:32.423432432\n'

# If there is any sub-second data pandas returns full sub-second resolution upto nano-seconds.

In[14]: pdf['a'][1] = pd.Timedelta('106751 days 23:07:15.12')
In[15]: pdf
Out[15]: 
                            a
0        106751 days 23:07:15
1 106751 days 23:07:15.120000
2   0 days 09:00:32.423432432
In[16]: pdf.to_csv()
Out[16]: ',a\n0,106751 days 23:07:15\n1,106751 days 23:07:15.120000\n2,0 days 09:00:32.423432432\n'

Expected behavior
I think we should be matching the pandas behavior here, because when when we read back the csv file cudf or pandas infer it as a string column and will ultimately result in storing extra values where not necessary.

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 7bea2645ca4bfd9db344e7f84bc61438749770e3 (HEAD -> branch-0.17, upstream/branch-0.17)
 Author: Conor Hoekstra <[email protected]>
 Date:   Tue Nov 3 03:56:49 2020 -0500
 
 Implement `cudf::round` floating point and integer types (`HALF_UP`) (#6562)
 **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 5.4.0-52-generic #57-Ubuntu SMP Thu Oct 15 10:57:00 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
 
 ***GPU Information***
 Tue Nov  3 18:02:45 2020
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 450.80.02    Driver Version: 450.80.02    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  | 00000000:22:00.0 Off |                  Off |
 | 33%   30C    P8     4W / 260W |   2132MiB / 48601MiB |      0%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 |   1  Quadro RTX 8000     Off  | 00000000:2D:00.0  On |                  Off |
 | 33%   34C    P8    22W / 260W |    351MiB / 48592MiB |     18%      Default |
 |                               |                      |                  N/A |
 +-------------------------------+----------------------+----------------------+
 
 +-----------------------------------------------------------------------------+
 | Processes:                                                                  |
 |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
 |        ID   ID                                                   Usage      |
 |=============================================================================|
 |    0   N/A  N/A       963      G   /usr/lib/xorg/Xorg                  4MiB |
 |    0   N/A  N/A      1833      G   /usr/lib/xorg/Xorg                  4MiB |
 |    0   N/A  N/A      5362      C   python                            531MiB |
 |    0   N/A  N/A      6150      C   python                            529MiB |
 |    0   N/A  N/A      7208      C   python                            529MiB |
 |    0   N/A  N/A      7343      C   .../envs/cudf_dev/bin/python      529MiB |
 |    1   N/A  N/A       963      G   /usr/lib/xorg/Xorg                 39MiB |
 |    1   N/A  N/A      1833      G   /usr/lib/xorg/Xorg                153MiB |
 |    1   N/A  N/A      1960      G   /usr/bin/gnome-shell              146MiB |
 +-----------------------------------------------------------------------------+
 
 ***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:                         1200.477
 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: Vulnerable
 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 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/pgali/anaconda3/envs/cudf_dev/bin/cmake
 cmake version 3.18.2
 
 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 3.7.8
 
 ***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                20200225.2           he1b5a44_2    conda-forge
 alabaster                 0.7.12                     py_0    conda-forge
 apipkg                    1.5                      pypi_0    pypi
 appdirs                   1.4.3                      py_1    conda-forge
 argon2-cffi               20.1.0           py37h8f50634_2    conda-forge
 arrow-cpp                 1.0.1           py37hd1d2865_14_cuda    conda-forge
 arrow-cpp-proc            1.0.1                      cuda    conda-forge
 async_generator           1.10                       py_0    conda-forge
 attrs                     20.2.0             pyh9f0ad1d_0    conda-forge
 aws-c-common              0.4.59               he1b5a44_0    conda-forge
 aws-c-event-stream        0.1.6                h84e28f3_5    conda-forge
 aws-checksums             0.1.9                he252421_2    conda-forge
 aws-sdk-cpp               1.8.63               h9b98462_0    conda-forge
 babel                     2.8.0                      py_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                     2.2.2            py37hc8dfbb8_0    conda-forge
 boost-cpp                 1.74.0               h9359b55_0    conda-forge
 brotli                    1.0.9                he1b5a44_2    conda-forge
 brotlipy                  0.7.0           py37hb5d75c8_1001    conda-forge
 bzip2                     1.0.8                h516909a_3    conda-forge
 c-ares                    1.16.1               h516909a_3    conda-forge
 ca-certificates           2020.6.20            hecda079_0    conda-forge
 certifi                   2020.6.20        py37he5f6b98_2    conda-forge
 cffi                      1.14.3           py37h00ebd2e_1    conda-forge
 cfgv                      3.2.0                      py_0    conda-forge
 chardet                   3.0.4           py37he5f6b98_1008    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                     3.18.2               h3f3948e_0    conda-forge
 cmake_setuptools          0.1.3                      py_0    rapidsai
 commonmark                0.9.1                      py_0    conda-forge
 cryptography              3.1.1            py37hff6837a_1    conda-forge
 cudatoolkit               11.0.221             h6bb024c_0    nvidia
 cudf                      0.17.0a0+92.gf552adaeb3          pypi_0    pypi
 cudnn                     8.0.0                cuda11.0_0    nvidia
 cupy                      7.8.0            py37h0ce7dbb_0    rapidsai
 cython                    0.29.21          py37hb892b2f_1    conda-forge
 cytoolz                   0.11.0           py37h8f50634_1    conda-forge
 dask                      2.30.0+16.gfbe51746          pypi_0    pypi
 dask-cudf                 0.17.0a0+249.g979dc78c98.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               2.30.0+7.gdcb46d07          pypi_0    pypi
 dlpack                    0.3                  he1b5a44_1    conda-forge
 docutils                  0.16             py37he5f6b98_2    conda-forge
 double-conversion         3.1.5                he1b5a44_2    conda-forge
 editdistance              0.5.3            py37h3340039_2    conda-forge
 entrypoints               0.3             py37hc8dfbb8_1002    conda-forge
 execnet                   1.7.1                    pypi_0    pypi
 expat                     2.2.9                he1b5a44_2    conda-forge
 fastavro                  1.0.0.post1      py37h8f50634_1    conda-forge
 fastrlock                 0.5              py37h3340039_1    conda-forge
 filelock                  3.0.12             pyh9f0ad1d_0    conda-forge
 flake8                    3.8.3                      py_1    conda-forge
 flatbuffers               1.12.0               he1b5a44_0    conda-forge
 freetype                  2.10.3               he06d7ca_0    conda-forge
 fsspec                    0.8.4                      py_0    conda-forge
 future                    0.18.2           py37hc8dfbb8_2    conda-forge
 gflags                    2.2.2             he1b5a44_1004    conda-forge
 glog                      0.4.0                h49b9bf7_3    conda-forge
 gmp                       6.2.0                he1b5a44_3    conda-forge
 grpc-cpp                  1.32.0               h7997a97_1    conda-forge
 heapdict                  1.0.1                      py_0    conda-forge
 hypothesis                5.37.3                     py_0    conda-forge
 icu                       67.1                 he1b5a44_0    conda-forge
 identify                  1.5.6              pyh9f0ad1d_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                 1.1.0              pyh9f0ad1d_0    conda-forge
 ipykernel                 5.3.4            py37hc6149b9_1    conda-forge
 ipython                   7.18.1           py37hc6149b9_1    conda-forge
 ipython_genutils          0.2.0                      py_1    conda-forge
 isort                     5.0.7            py37hc8dfbb8_0    conda-forge
 jedi                      0.17.2           py37hc8dfbb8_1    conda-forge
 jinja2                    2.11.2             pyh9f0ad1d_0    conda-forge
 jpeg                      9d                   h516909a_0    conda-forge
 jsonschema                3.2.0                      py_2    conda-forge
 jupyter_client            6.1.7                      py_0    conda-forge
 jupyter_core              4.6.3            py37hc8dfbb8_2    conda-forge
 jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
 krb5                      1.17.1               hfafb76e_3    conda-forge
 lcms2                     2.11                 hbd6801e_0    conda-forge
 ld_impl_linux-64          2.35                 h769bd43_9    conda-forge
 libblas                   3.8.0               17_openblas    conda-forge
 libcblas                  3.8.0               17_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                    3.2.1             he1b5a44_1007    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                 3.8.0               17_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               0.3.10          pthreads_h4812303_5    conda-forge
 libpng                    1.6.37               hed695b0_2    conda-forge
 libprotobuf               3.13.0.1             h8b12597_0    conda-forge
 librmm                    0.17.0a201018   cuda11.0_g8cdd176_21    rapidsai-nightly
 libsodium                 1.0.18               h516909a_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                   4.1.0                hc7e4089_6    conda-forge
 libutf8proc               2.5.0                h516909a_2    conda-forge
 libuv                     1.40.0               hd18ef5c_0    conda-forge
 libwebp-base              1.1.0                h516909a_3    conda-forge
 llvmlite                  0.34.0           py37h5202443_2    conda-forge
 locket                    0.2.0                      py_2    conda-forge
 lz4-c                     1.9.2                he1b5a44_3    conda-forge
 markdown                  3.3.1              pyh9f0ad1d_0    conda-forge
 markupsafe                1.1.1            py37hb5d75c8_2    conda-forge
 mccabe                    0.6.1                      py_1    conda-forge
 mimesis                   4.0.0              pyh9f0ad1d_0    conda-forge
 mistune                   0.8.4           py37h8f50634_1002    conda-forge
 more-itertools            8.5.0                      py_0    conda-forge
 msgpack-python            1.0.0            py37h99015e2_2    conda-forge
 nbclient                  0.5.1                      py_0    conda-forge
 nbconvert                 6.0.7            py37hc8dfbb8_1    conda-forge
 nbformat                  5.0.8                      py_0    conda-forge
 nbsphinx                  0.7.1              pyh9f0ad1d_0    conda-forge
 nccl                      2.7.8.1            h4962215_100    nvidia
 ncurses                   6.2                  he1b5a44_2    conda-forge
 nest-asyncio              1.4.1                      py_0    conda-forge
 nodeenv                   1.5.0              pyh9f0ad1d_0    conda-forge
 notebook                  6.1.4            py37hc8dfbb8_1    conda-forge
 numba                     0.51.2           py37h9fdb41a_0    conda-forge
 numpy                     1.19.2           py37h7ea13bd_1    conda-forge
 numpydoc                  1.1.0                      py_1    conda-forge
 nvtx                      0.2.1            py37h8f50634_2    conda-forge
 olefile                   0.46               pyh9f0ad1d_1    conda-forge
 openssl                   1.1.1h               h516909a_0    conda-forge
 orc                       1.6.5                hd3605a7_0    conda-forge
 packaging                 20.4               pyh9f0ad1d_0    conda-forge
 pandas                    1.1.3            py37h9fdb41a_2    conda-forge
 pandavro                  1.5.2                    pypi_0    pypi
 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                  0.8.0              pyh9f0ad1d_0    conda-forge
 pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
 pickleshare               0.7.5                   py_1003    conda-forge
 pillow                    8.0.0            py37h718be6c_0    conda-forge
 pip                       20.2.4                     py_0    conda-forge
 pluggy                    0.13.1           py37hc8dfbb8_3    conda-forge
 pre-commit                2.7.1            py37hc8dfbb8_1    conda-forge
 pre_commit                2.7.1                         1    conda-forge
 prometheus_client         0.8.0              pyh9f0ad1d_0    conda-forge
 prompt-toolkit            3.0.8                      py_0    conda-forge
 psutil                    5.7.2            py37hb5d75c8_1    conda-forge
 ptyprocess                0.6.0                   py_1001    conda-forge
 py                        1.9.0              pyh9f0ad1d_0    conda-forge
 py-cpuinfo                7.0.0              pyh9f0ad1d_0    conda-forge
 pyarrow                   1.0.1           py37h5b20ac3_14_cuda    conda-forge
 pybind11                  2.5.0                    pypi_0    pypi
 pycodestyle               2.6.0              pyh9f0ad1d_0    conda-forge
 pycparser                 2.20               pyh9f0ad1d_2    conda-forge
 pyflakes                  2.2.0              pyh9f0ad1d_0    conda-forge
 pygments                  2.7.1                      py_0    conda-forge
 pyopenssl                 19.1.0                     py_1    conda-forge
 pyorc                     0.3.0                    pypi_0    pypi
 pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
 pyrsistent                0.17.3           py37h8f50634_1    conda-forge
 pysocks                   1.7.1            py37he5f6b98_2    conda-forge
 pytest                    6.1.1            py37hc8dfbb8_1    conda-forge
 pytest-benchmark          3.2.3              pyh9f0ad1d_0    conda-forge
 pytest-forked             1.3.0                    pypi_0    pypi
 pytest-xdist              2.1.0                    pypi_0    pypi
 python                    3.7.8           h6f2ec95_1_cpython    conda-forge
 python-dateutil           2.8.1                      py_0    conda-forge
 python_abi                3.7                     1_cp37m    conda-forge
 pytz                      2020.1             pyh9f0ad1d_0    conda-forge
 pyyaml                    5.3.1            py37hb5d75c8_1    conda-forge
 pyzmq                     19.0.2           py37hac76be4_2    conda-forge
 rapidjson                 1.1.0             he1b5a44_1002    conda-forge
 re2                       2020.10.01           he1b5a44_0    conda-forge
 readline                  8.0                  he28a2e2_2    conda-forge
 recommonmark              0.6.0                      py_0    conda-forge
 regex                     2020.10.15       py37h8f50634_0    conda-forge
 requests                  2.24.0             pyh9f0ad1d_0    conda-forge
 rhash                     1.3.6             h516909a_1001    conda-forge
 rmm                       0.17.0a201017   cuda_11.0_py37_g8cdd176_21    rapidsai-nightly
 send2trash                1.5.0                      py_0    conda-forge
 setuptools                49.6.0           py37he5f6b98_2    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          2.2.2              pyh9f0ad1d_0    conda-forge
 spdlog                    1.7.0                hc9558a2_2    conda-forge
 sphinx                    3.2.1                      py_0    conda-forge
 sphinx-copybutton         0.3.0              pyh9f0ad1d_0    conda-forge
 sphinx-markdown-tables    0.0.14             pyh9f0ad1d_1    conda-forge
 sphinx_rtd_theme          0.5.0              pyh9f0ad1d_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                    3.33.0               h4cf870e_1    conda-forge
 streamz                   0.6.0                    pypi_0    pypi
 tblib                     1.6.0                      py_0    conda-forge
 terminado                 0.9.1            py37hc8dfbb8_1    conda-forge
 testpath                  0.4.4                      py_0    conda-forge
 tk                        8.6.10               hed695b0_1    conda-forge
 toml                      0.10.1             pyh9f0ad1d_0    conda-forge
 toolz                     0.11.1                     py_0    conda-forge
 tornado                   6.0.4            py37h8f50634_2    conda-forge
 traitlets                 5.0.5                      py_0    conda-forge
 typed-ast                 1.4.1            py37h516909a_0    conda-forge
 typing_extensions         3.7.4.3                    py_0    conda-forge
 urllib3                   1.25.10                    py_0    conda-forge
 virtualenv                20.0.35          py37hc8dfbb8_0    conda-forge
 wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
 webencodings              0.5.1                      py_1    conda-forge
 wheel                     0.35.1             pyh9f0ad1d_0    conda-forge
 xz                        5.2.5                h516909a_1    conda-forge
 yaml                      0.2.5                h516909a_0    conda-forge
 zeromq                    4.3.3                he1b5a44_2    conda-forge
 zict                      2.0.0                      py_0    conda-forge
 zipp                      3.3.1                      py_0    conda-forge
 zlib                      1.2.11            h516909a_1010    conda-forge
 zstd                      1.4.5                h6597ccf_2    conda-forge

Additional context
Surfaced while running fuzz tests: #6001

[kkraus14]

@galipremsagar does Pandas always trim the subsecond data, or only when the element has a value of 0 for the subsecond data?

[galipremsagar]

@kkraus14 Pandas trims subsecond data only when it's subsecond data is 0

[kkraus14]

@kkraus14 Pandas trims subsecond data only when it's subsecond data is 0

I don't know if this is something we can match or even should match then. Is Pandas able to read how we write the data successfully?

[davidwendt]

This looks possible to do.
The code for this is isolated in this aptly named function

cudf/cpp/src/io/csv/durations.cu

Line 225 in e0e2cf8

std::unique_ptr<column> pandas_format_durations(column_view const& durations,

[kkraus14]

I don't think this is something we should prioritize unless someone comes along and provides sufficient reasoning for why it's an issue for them.

[github-actions]

This issue has been marked stale due to no recent activity in the past 30d. 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 marked rotten if there is no activity in the next 60d.

[github-actions]

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.