[BUG] __repr__ for sliced categorical series is showing incorrect categories

[galipremsagar]

Describe the bug
With recent pandas upgrade in #7375, there was some special handling needed for categorical series with categories of type float. Because of these changes printing a sliced series is resulting in incorrect categories being displayed, but the underlying categories are intact and correct.

Steps/Code to reproduce bug

>>> import cudf
>>> s = cudf.Series([1, 2.0, 3.0], dtype='category')
s
>>> s
0    1.0
1    2.0
2    3.0
dtype: category
Categories (3, float64): [1.0, 2.0, 3.0]
>>> s[1:]
1    2.0
2    3.0
dtype: category
Categories (2, float64): [2.0, 3.0]
>>> s[1:].cat.categories
Float64Index([1.0, 2.0, 3.0], dtype='float64')
>>> s[1:].to_pandas()
1    2.0
2    3.0
dtype: category
Categories (3, float64): [1.0, 2.0, 3.0]

Expected behavior
In our repr code, instead of type-casting to 'category', we will have to create an equivalent pandas CategoricalDtype and typecast before calling to_string API.

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 ae1b8c688cd471c40eff60d366588795bfd101f3 (HEAD -> 7367)
 Author: galipremsagar <[email protected]>
 Date:   Fri Feb 26 11:53:07 2021 -0800
 
 add packaging conda install
 **git submodules***
 
 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=18.04
 DISTRIB_CODENAME=bionic
 DISTRIB_DESCRIPTION="Ubuntu 18.04.4 LTS"
 NAME="Ubuntu"
 VERSION="18.04.4 LTS (Bionic Beaver)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 18.04.4 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 dt07 4.15.0-76-generic #86-Ubuntu SMP Fri Jan 17 17:24:28 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
 
 ***GPU Information***
 Sun Feb 28 21:04:39 2021
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |
 |-------------------------------+----------------------+----------------------+
 | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
 | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
 |===============================+======================+======================|
 |   0  Tesla T4            On   | 00000000:3B:00.0 Off |                    0 |
 | N/A   49C    P8    16W /  70W |      0MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   1  Tesla T4            On   | 00000000:5E:00.0 Off |                    0 |
 | N/A   37C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   2  Tesla T4            On   | 00000000:AF:00.0 Off |                    0 |
 | N/A   32C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   3  Tesla T4            On   | 00000000:D8:00.0 Off |                    0 |
 | N/A   31C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 
 +-----------------------------------------------------------------------------+
 | Processes:                                                       GPU Memory |
 |  GPU       PID   Type   Process name                             Usage      |
 |=============================================================================|
 |  No running processes found                                                 |
 +-----------------------------------------------------------------------------+
 
 ***CPU***
 Architecture:        x86_64
 CPU op-mode(s):      32-bit, 64-bit
 Byte Order:          Little Endian
 CPU(s):              64
 On-line CPU(s) list: 0-63
 Thread(s) per core:  2
 Core(s) per socket:  16
 Socket(s):           2
 NUMA node(s):        2
 Vendor ID:           GenuineIntel
 CPU family:          6
 Model:               85
 Model name:          Intel(R) Xeon(R) Gold 6130 CPU @ 2.10GHz
 Stepping:            4
 CPU MHz:             2204.278
 BogoMIPS:            4200.00
 Virtualization:      VT-x
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 L1i cache:           32K
 L2 cache:            1024K
 L3 cache:            22528K
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 NUMA node1 CPU(s):   1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63
 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 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 pku ospke md_clear flush_l1d
 
 ***CMake***
 /nvme/0/pgali/envs/cudfdev/bin/cmake
 cmake version 3.18.5
 
 CMake suite maintained and supported by Kitware (kitware.com/cmake).
 
 ***g++***
 /usr/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/cuda/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***
 /nvme/0/pgali/envs/cudfdev/bin/python
 Python 3.7.10
 
 ***Environment Variables***
 PATH                            : /nvme/0/pgali/envs/cudfdev/bin:/usr/share/swift/usr/bin:/home/nfs/pgali/bin:/home/nfs/pgali/.local/bin:/home/nfs/pgali/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/lib/jvm/default-java/bin:/usr/share/sbt-launcher-packaging/bin/sbt-launch.jar/bin:/usr/lib/spark/bin:/usr/lib/spark/sbin:/usr/local/cuda/bin:/nvme/0/pgali/envs/cudfdev/bin
 LD_LIBRARY_PATH                 : /usr/local/cuda/lib64::/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    : /nvme/0/pgali/envs/cudfdev
 PYTHON_PATH                     :
 
 ***conda packages***
 /home/nfs/pgali/anaconda3/condabin/conda
 # packages in environment at /nvme/0/pgali/envs/cudfdev:
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 sqlite                    3.34.0               h74cdb3f_0    conda-forge
 streamz                   0.6.2              pyh44b312d_0    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                   1.26.3             pyhd8ed1ab_0    conda-forge
 virtualenv                20.4.2           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                    4.3.4                h9c3ff4c_0    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

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