[BUG] Incorrect precision of floating values are being written to csv

**Describe the bug**
While writing a `float64` or `float32` column to csv cudf is truncating or just writing upto precision `9` for both `float64` and `float32`. This is leading to data truncation incase of `float64` and incorrect data representation incase of `float32`.

**Steps/Code to reproduce bug**
For `float64`:
```python
In[55]: pdf = pd.DataFrame({'a':[1.1234567891234564367]})
In[56]: pdf
Out[56]: 
          a
0  1.123457
In[57]: pdf.to_csv()
Out[57]: ',a\n0,1.1234567891234564\n'         # Notice how pandas allows 16 digits after decimal for float64
In[58]: gdf = cudf.DataFrame({'a':[1.1234567891234564367]})
In[59]: gdf
Out[59]: 
          a
0  1.123457
In[60]: gdf.to_csv()
Out[60]: ',a\n0,1.123456789\n'               # cudf seems to be allowing only 9 digits after decimal for float64
In[61]: pdf['a']
Out[61]: 
0    1.123457
Name: a, dtype: float64
In[62]: gdf['a']
Out[62]: 

0    1.123457
Name: a, dtype: float64
```

For `float32`:
```python
In[41]: pdf = pd.DataFrame({'a':pd.Series([1.123456789123456], dtype='float32')})
In[42]: pdf
Out[42]: 
          a
0  1.123457
In[43]: pdf.to_csv()
Out[43]: ',a\n0,1.1234568\n'                # Notice how pandas allows 7 digits after decimal for float32
In[44]: gdf = cudf.DataFrame({'a':cudf.Series([1.123456789123456], dtype='float32')})
In[45]: gdf
Out[45]: 
          a
0  1.123457
In[46]: gdf.to_csv()
Out[46]: ',a\n0,1.123456836\n'         # cudf seems to allow upto 9 digits for float32
```

**Expected behavior**
Ideally we should be matching pandas behavior here as the resolutions of `float32` and `float64` are `1e-06` and `1e-15` respectively:

```python
In[67]: np.finfo('float64')
Out[67]: finfo(resolution=1e-15, min=-1.7976931348623157e+308, max=1.7976931348623157e+308, dtype=float64)
In[68]: np.finfo('float32')
Out[68]: finfo(resolution=1e-06, min=-3.4028235e+38, max=3.4028235e+38, dtype=float32)
```

This difference in precision could lead to inequality while comparing data, for example:


[cudf.txt](https://github.com/rapidsai/cudf/files/5323701/cudf.txt)
[pandas.txt](https://github.com/rapidsai/cudf/files/5323702/pandas.txt)

Diff of these two files: https://www.diffchecker.com/qaAbEXt7

```python
In[69]: df1 = pd.read_csv('cudf.txt')
In[70]: df2 = pd.read_csv('pandas.txt')
In[71]: df1
Out[71]: 
      Unnamed: 0              0
0              0            NaN
1              1  1.454085e+308
2              2 -1.237198e+308
3              3  7.527956e+307
4              4  7.821195e+307
          ...            ...
9576        9576 -1.138957e+308
9577        9577            NaN
9578        9578  5.832193e+307
9579        9579 -9.524882e+307
9580        9580 -6.446848e+307

[9581 rows x 2 columns]
In[72]: df2
Out[72]: 
      Unnamed: 0              0
0              0            NaN
1              1  1.454085e+308
2              2 -1.237198e+308
3              3  7.527956e+307
4              4  7.821195e+307
          ...            ...
9576        9576 -1.138957e+308
9577        9577            NaN
9578        9578  5.832193e+307
9579        9579 -9.524882e+307
9580        9580 -6.446848e+307

[9581 rows x 2 columns]
In[73]: df1.equals(df2)
Out[73]: False
In[74]: df1 == df2
Out[74]: 
      Unnamed: 0      0
0           True  False
1           True  False
2           True  False
3           True  False
4           True  False
          ...    ...
9576        True  False
9577        True  False
9578        True  False
9579        True  False
9580        True  False

[9581 rows x 2 columns]
In[75]: df3 = df2.copy(deep=True)
In[76]: df2 == df3
Out[76]: 
      Unnamed: 0      0
0           True  False
1           True   True
2           True   True
3           True   True
4           True   True
          ...    ...
9576        True   True
9577        True  False
9578        True   True
9579        True   True
9580        True   True

[9581 rows x 2 columns]
```

**Environment overview (please complete the following information)**
 - Environment location: Bare-metal
 - Method of cuDF install:  from source(`0.16`)


**Environment details**
Please run and paste the output of the `cudf/print_env.sh` script here, to gather any other relevant environment details
<details><summary>Click here to see environment details</summary><pre>
     
     **git***
     commit fd59ee71ac16a27bc66f7a6ac34f11abf359071e (HEAD -> csv_fuzz_tests)
     Merge: a66c8d02c9 78370a852c
     Author: galipremsagar <sagarprem75@gmail.com>
     Date:   Sun Oct 4 10:39:49 2020 -0500
     
     Merge remote-tracking branch 'upstream/branch-0.16' into csv_fuzz_tests
     **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 5.4.0-48-generic #52-Ubuntu SMP Thu Sep 10 10:58:49 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
     
     ***GPU Information***
     Sun Oct  4 12:04:42 2020
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 450.66       Driver Version: 450.66       CUDA Version: 11.0     |
     |-------------------------------+----------------------+----------------------+
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     |                               |                      |               MIG M. |
     |===============================+======================+======================|
     |   0  Quadro RTX 8000     Off  | 00000000:22:00.0 Off |                  Off |
     | 33%   33C    P8     5W / 260W |   2392MiB / 48601MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   1  Quadro RTX 8000     Off  | 00000000:2D:00.0  On |                  Off |
     | 33%   36C    P8    24W / 260W |    567MiB / 48592MiB |     11%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     
     +-----------------------------------------------------------------------------+
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     |        ID   ID                                                   Usage      |
     |=============================================================================|
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     |    0   N/A  N/A     12915      C   python                            595MiB |
     |    0   N/A  N/A     13516      C   python                            595MiB |
     |    0   N/A  N/A     14098      C   python                            591MiB |
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     |    1   N/A  N/A      1766      G   /usr/lib/xorg/Xorg                267MiB |
     |    1   N/A  N/A      1971      G   /usr/bin/gnome-shell              236MiB |
     |    1   N/A  N/A     11515      G   /usr/lib/firefox/firefox            3MiB |
     |    1   N/A  N/A     12283      G   /usr/lib/firefox/firefox            3MiB |
     |    1   N/A  N/A     15310      G   /usr/lib/firefox/firefox            3MiB |
     +-----------------------------------------------------------------------------+
     
     ***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
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     CPU max MHz:                     3700.0000
     CPU min MHz:                     1200.0000
     BogoMIPS:                        6800.00
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     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
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     ***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 9.3.0-10ubuntu2) 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:
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     partd                     1.1.0                      py_0    conda-forge
     pathspec                  0.8.0              pyh9f0ad1d_0    conda-forge
     pexpect                   4.8.0            py37hc8dfbb8_1    conda-forge
     pickleshare               0.7.5           py37hc8dfbb8_1001    conda-forge
     pillow                    7.2.0            py37h718be6c_1    conda-forge
     pip                       20.2.3                     py_0    conda-forge
     pluggy                    0.13.1           py37hc8dfbb8_2    conda-forge
     pre-commit                2.7.1            py37hc8dfbb8_0    conda-forge
     pre_commit                2.7.1                         0    conda-forge
     prometheus_client         0.8.0              pyh9f0ad1d_0    conda-forge
     prompt-toolkit            3.0.7                      py_0    conda-forge
     psutil                    5.7.2            py37h8f50634_0    conda-forge
     ptyprocess                0.6.0                   py_1001    conda-forge
     py                        1.9.0              pyh9f0ad1d_0    conda-forge
     pyarrow                   1.0.1           py37h72578d1_5_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                  2.7.1                      py_0    conda-forge
     pyopenssl                 19.1.0                     py_1    conda-forge
     pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
     pyrsistent                0.17.3           py37h8f50634_0    conda-forge
     pysocks                   1.7.1            py37hc8dfbb8_1    conda-forge
     pytest                    6.0.2            py37hc8dfbb8_0    conda-forge
     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            py37h8f50634_0    conda-forge
     pyzmq                     19.0.2           py37hac76be4_0    conda-forge
     rapidjson                 1.1.0             he1b5a44_1002    conda-forge
     re2                       2020.08.01           he1b5a44_1    conda-forge
     readline                  8.0                  he28a2e2_2    conda-forge
     recommonmark              0.6.0                      py_0    conda-forge
     regex                     2020.7.14        py37h8f50634_0    conda-forge
     requests                  2.24.0             pyh9f0ad1d_0    conda-forge
     rhash                     1.3.6             h14c3975_1001    conda-forge
     rmm                       0.16.0a200922   cuda_11.0_py37_ge3ce8c5_384    rapidsai-nightly
     send2trash                1.5.0                      py_0    conda-forge
     setuptools                49.6.0           py37hc8dfbb8_1    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_0    conda-forge
     streamz                   0.5.6                    pypi_0    pypi
     tblib                     1.6.0                      py_0    conda-forge
     terminado                 0.9.1            py37hc8dfbb8_0    conda-forge
     testpath                  0.4.4                      py_0    conda-forge
     thrift-compiler           0.13.0               hbe8ec66_6    conda-forge
     thrift-cpp                0.13.0                        6    conda-forge
     tk                        8.6.10               hed695b0_0    conda-forge
     toml                      0.10.1             pyh9f0ad1d_0    conda-forge
     toolz                     0.10.0                     py_0    conda-forge
     tornado                   6.0.4            py37h8f50634_1    conda-forge
     traitlets                 5.0.4                      py_0    conda-forge
     typed-ast                 1.4.1            py37h516909a_0    conda-forge
     typing_extensions         3.7.4.2                    py_0    conda-forge
     urllib3                   1.25.10                    py_0    conda-forge
     virtualenv                20.0.20          py37hc8dfbb8_1    conda-forge
     wcwidth                   0.2.5              pyh9f0ad1d_1    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                    4.3.2                he1b5a44_3    conda-forge
     zict                      2.0.0                      py_0    conda-forge
     zipp                      3.1.0                      py_0    conda-forge
     zlib                      1.2.11            h516909a_1009    conda-forge
     zstd                      1.4.5                h6597ccf_2    conda-forge
     
</pre></details>


**Additional context**
Surfaced while running fuzz tests #6001 


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[BUG] Incorrect precision of floating values are being written to csv #6418

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