BUG: round_trip parser initial/trailing whitespace
- [x] closes #43713
- [x] tests added / passed
- [X] Ensure all linting tests pass, see [here](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit) for how to run them
- [X] whatsnew entry

Hello @ales-erjavec! Thanks for updating this PR. We checked the lines you've touched for [PEP 8](https://www.python.org/dev/peps/pep-0008) issues, and found:



There are currently no PEP 8 issues detected in this Pull Request. Cheers! :beers: 

##### Comment last updated at 2021-10-01 19:35:16 UTC > can you run the asv suite for all csv parsing. i would expect this to have some sort of perf hit.

`asv continuous -f 1.1 -E virtualenv --python 3.9 origin/master round-trip-parser-trailing-space -b "^io.csv"`
<details>

```
· No executable found for python 3.8
· Creating environments
· Discovering benchmarks
·· Uninstalling from virtualenv-py3.9-Cython0.29.21-jinja2-matplotlib-numba-numexpr-numpy-odfpy-openpyxl-pyarrow-scipy-sqlalchemy-tables-xlrd-xlsxwriter-xlwt
·· Installing 1ef7d82a <round-trip-parser-trailing-space> into virtualenv-py3.9-Cython0.29.21-jinja2-matplotlib-numba-numexpr-numpy-odfpy-openpyxl-pyarrow-scipy-sqlalchemy-tables-xlrd-xlsxwriter-xlwt.
· Running 58 total benchmarks (2 commits * 1 environments * 29 benchmarks)
[  0.00%] · For pandas commit 36d5c9b8 <master> (round 1/2):
[  0.00%] ·· Building for virtualenv-py3.9-Cython0.29.21-jinja2-matplotlib-numba-numexpr-numpy-odfpy-openpyxl-pyarrow-scipy-sqlalchemy-tables-xlrd-xlsxwriter-xlwt..
[  0.00%] ·· Benchmarking virtualenv-py3.9-Cython0.29.21-jinja2-matplotlib-numba-numexpr-numpy-odfpy-openpyxl-pyarrow-scipy-sqlalchemy-tables-xlrd-xlsxwriter-xlwt
[  0.86%] ··· Running (io.csv.ParseDateComparison.time_read_csv_dayfirst--)......................
[ 20.69%] ··· Running (io.csv.ToCSV.time_frame--)......
[ 25.00%] · For pandas commit 1ef7d82a <round-trip-parser-trailing-space> (round 1/2):
[ 25.00%] ·· Building for virtualenv-py3.9-Cython0.29.21-jinja2-matplotlib-numba-numexpr-numpy-odfpy-openpyxl-pyarrow-scipy-sqlalchemy-tables-xlrd-xlsxwriter-xlwt..
[ 25.00%] ·· Benchmarking virtualenv-py3.9-Cython0.29.21-jinja2-matplotlib-numba-numexpr-numpy-odfpy-openpyxl-pyarrow-scipy-sqlalchemy-tables-xlrd-xlsxwriter-xlwt
[ 25.86%] ··· Running (io.csv.ParseDateComparison.time_read_csv_dayfirst--)......................
[ 45.69%] ··· Running (io.csv.ToCSV.time_frame--)......
[ 50.00%] · For pandas commit 1ef7d82a <round-trip-parser-trailing-space> (round 2/2):
[ 50.00%] ·· Benchmarking virtualenv-py3.9-Cython0.29.21-jinja2-matplotlib-numba-numexpr-numpy-odfpy-openpyxl-pyarrow-scipy-sqlalchemy-tables-xlrd-xlsxwriter-xlwt
[ 50.86%] ··· io.csv.ParseDateComparison.time_read_csv_dayfirst                                                                    ok
[ 50.86%] ··· ============= ============
               cache_dates              
              ------------- ------------
                  False      5.01±0.2ms 
                   True      2.62±0.1ms 
              ============= ============

[ 51.72%] ··· io.csv.ParseDateComparison.time_to_datetime_dayfirst                                                                 ok
[ 51.72%] ··· ============= ============
               cache_dates              
              ------------- ------------
                  False      5.04±0.1ms 
                   True      2.49±0.3ms 
              ============= ============

[ 52.59%] ··· io.csv.ParseDateComparison.time_to_datetime_format_DD_MM_YYYY                                                        ok
[ 52.59%] ··· ============= ============
               cache_dates              
              ------------- ------------
                  False      12.8±0.4ms 
                   True      2.88±0.3ms 
              ============= ============

[ 53.45%] ··· io.csv.ReadCSVCachedParseDates.time_read_csv_cached                                                                  ok
[ 53.45%] ··· ========== ============= =============
              --                    engine          
              ---------- ---------------------------
               do_cache        c           python   
              ========== ============= =============
                 True      1.54±0.1ms    1.93±0.1ms 
                False     1.28±0.04ms   2.03±0.07ms 
              ========== ============= =============

[ 54.31%] ··· io.csv.ReadCSVCategorical.time_convert_direct                                                                        ok
[ 54.31%] ··· ======== ============
               engine              
              -------- ------------
                 c      19.2±0.7ms 
               python    113±3ms   
              ======== ============

[ 55.17%] ··· io.csv.ReadCSVCategorical.time_convert_post                                                                          ok
[ 55.17%] ··· ======== ============
               engine              
              -------- ------------
                 c      29.3±0.4ms 
               python    101±2ms   
              ======== ============

[ 56.03%] ··· io.csv.ReadCSVComment.time_comment                                                                                   ok
[ 56.03%] ··· ======== ============
               engine              
              -------- ------------
                 c      13.4±0.5ms 
               python   12.5±0.7ms 
              ======== ============

[ 56.90%] ··· io.csv.ReadCSVConcatDatetime.time_read_csv                                                                   17.3±0.8ms
[ 57.76%] ··· io.csv.ReadCSVConcatDatetimeBadDateValue.time_read_csv                                                               ok
[ 57.76%] ··· ================ ============
               bad_date_value              
              ---------------- ------------
                    nan         8.91±0.4ms 
                     0          6.30±0.3ms 
                     ''         7.34±0.2ms 
              ================ ============

[ 58.62%] ··· io.csv.ReadCSVDInferDatetimeFormat.time_read_csv                                                                     ok
[ 58.62%] ··· ======================= ============ ============= =============
              --                                       format                 
              ----------------------- ----------------------------------------
               infer_datetime_format     custom       iso8601         ymd     
              ======================= ============ ============= =============
                        True           3.41±0.1ms    1.57±0.1ms    1.56±0.1ms 
                       False            65.1±2ms    1.19±0.03ms   1.15±0.09ms 
              ======================= ============ ============= =============

[ 59.48%] ··· io.csv.ReadCSVEngine.time_read_bytescsv                                                                              ok
[ 59.48%] ··· ========= ============
                engine              
              --------- ------------
                  c      11.7±0.3ms 
                python   160±0.7ms  
               pyarrow   5.03±0.2ms 
              ========= ============

[ 60.34%] ··· io.csv.ReadCSVEngine.time_read_stringcsv                                                                             ok
[ 60.34%] ··· ========= ============
                engine              
              --------- ------------
                  c      11.9±0.2ms 
                python    161±2ms   
               pyarrow   6.19±0.3ms 
              ========= ============

[ 61.21%] ··· io.csv.ReadCSVFloatPrecision.time_read_csv                                                                           ok
[ 61.21%] ··· ===== ============= ============= ================ ============= ============= ================
              --                                    decimal / float_precision                                
              ----- -----------------------------------------------------------------------------------------
               sep     . / None      . / high    . / round_trip     _ / None      _ / high    _ / round_trip 
              ===== ============= ============= ================ ============= ============= ================
                ,    1.06±0.03ms     995±40μs      1.75±0.1ms     1.08±0.06ms   1.07±0.01ms    1.16±0.07ms   
                ;    1.07±0.03ms   1.02±0.04ms    1.77±0.06ms     1.13±0.06ms   1.09±0.05ms    1.09±0.06ms   
              ===== ============= ============= ================ ============= ============= ================

[ 62.07%] ··· io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine                                                             ok
[ 62.07%] ··· ===== ============= ============= ================ ============= ============= ================
              --                                    decimal / float_precision                                
              ----- -----------------------------------------------------------------------------------------
               sep     . / None      . / high    . / round_trip     _ / None      _ / high    _ / round_trip 
              ===== ============= ============= ================ ============= ============= ================
                ,    2.55±0.09ms   2.52±0.07ms     2.53±0.1ms     2.13±0.05ms   2.07±0.06ms    2.25±0.05ms   
                ;    2.45±0.09ms    2.62±0.1ms    2.56±0.05ms     2.07±0.07ms   2.08±0.06ms    2.10±0.06ms   
              ===== ============= ============= ================ ============= ============= ================

[ 62.93%] ··· io.csv.ReadCSVMemoryGrowth.mem_parser_chunks                                                                         ok
[ 62.93%] ··· ======== ===
               engine     
              -------- ---
                 c      0 
               python   0 
              ======== ===

[ 63.79%] ··· io.csv.ReadCSVParseDates.time_baseline                                                                               ok
[ 63.79%] ··· ======== =============
               engine               
              -------- -------------
                 c      1.12±0.03ms 
               python   1.15±0.05ms 
              ======== =============

[ 64.66%] ··· io.csv.ReadCSVParseDates.time_multiple_date                                                                          ok
[ 64.66%] ··· ======== =============
               engine               
              -------- -------------
                 c      1.36±0.09ms 
               python   1.34±0.07ms 
              ======== =============

[ 65.52%] ··· io.csv.ReadCSVParseSpecialDate.time_read_special_date                                                                ok
[ 65.52%] ··· ======= ============= ============
              --                engine          
              ------- --------------------------
               value        c          python   
              ======= ============= ============
                 mY    5.23±0.09ms   22.8±0.3ms 
                mdY    2.54±0.07ms   9.02±0.3ms 
                 hm    2.31±0.04ms   8.45±0.2ms 
              ======= ============= ============

[ 66.38%] ··· io.csv.ReadCSVSkipRows.time_skipprows                                                                                ok
[ 66.38%] ··· ========== ============ ============ ============
              --                         engine                
              ---------- --------------------------------------
               skiprows       c          python      pyarrow   
              ========== ============ ============ ============
                 None     9.73±0.2ms   44.2±0.8ms   7.54±0.4ms 
                10000     8.11±0.2ms   32.6±0.5ms   7.60±0.2ms 
              ========== ============ ============ ============

[ 67.24%] ··· io.csv.ReadCSVThousands.time_thousands                                                                               ok
[ 67.24%] ··· ===== ============= =============== ============ ============
              --                       thousands / engine                  
              ----- -------------------------------------------------------
               sep     None / c    None / python     , / c      , / python 
              ===== ============= =============== ============ ============
                ,     7.74±0.2ms     41.8±0.3ms    10.2±0.1ms    99.9±2ms  
                |    7.81±0.05ms     42.6±0.4ms    9.34±0.1ms    99.8±2ms  
              ===== ============= =============== ============ ============

[ 68.10%] ··· io.csv.ReadUint64Integers.time_read_uint64                                                                   2.47±0.1ms
[ 68.97%] ··· io.csv.ReadUint64Integers.time_read_uint64_na_values                                                         4.17±0.2ms
[ 69.83%] ··· io.csv.ReadUint64Integers.time_read_uint64_neg_values                                                        3.97±0.1ms
[ 70.69%] ··· io.csv.ToCSV.time_frame                                                                                              ok
[ 70.69%] ··· ======= ============
                kind              
              ------- ------------
                wide   58.5±0.9ms 
                long   73.5±0.5ms 
               mixed   10.5±0.1ms 
              ======= ============

[ 71.55%] ··· io.csv.ToCSVDatetime.time_frame_date_formatting                                                             9.44±0.08ms
[ 72.41%] ··· io.csv.ToCSVDatetimeBig.time_frame                                                                                   ok
[ 72.41%] ··· ======== =============
                obs                 
              -------- -------------
                1000    2.93±0.06ms 
               10000     24.9±0.4ms 
               100000    246±0.5ms  
              ======== =============

[ 73.28%] ··· io.csv.ToCSVIndexes.time_head_of_multiindex                                                                  1.25±0.02s
[ 74.14%] ··· io.csv.ToCSVIndexes.time_multiindex                                                                             480±2ms
[ 75.00%] ··· io.csv.ToCSVIndexes.time_standard_index                                                                         375±5ms
[ 75.00%] · For pandas commit 36d5c9b8 <master> (round 2/2):
[ 75.00%] ·· Building for virtualenv-py3.9-Cython0.29.21-jinja2-matplotlib-numba-numexpr-numpy-odfpy-openpyxl-pyarrow-scipy-sqlalchemy-tables-xlrd-xlsxwriter-xlwt..
[ 75.00%] ·· Benchmarking virtualenv-py3.9-Cython0.29.21-jinja2-matplotlib-numba-numexpr-numpy-odfpy-openpyxl-pyarrow-scipy-sqlalchemy-tables-xlrd-xlsxwriter-xlwt
[ 75.86%] ··· io.csv.ParseDateComparison.time_read_csv_dayfirst                                                                    ok
[ 75.86%] ··· ============= ============
               cache_dates              
              ------------- ------------
                  False      5.16±0.3ms 
                   True      2.76±0.1ms 
              ============= ============

[ 76.72%] ··· io.csv.ParseDateComparison.time_to_datetime_dayfirst                                                                 ok
[ 76.72%] ··· ============= ============
               cache_dates              
              ------------- ------------
                  False      5.34±0.1ms 
                   True      2.73±0.2ms 
              ============= ============

[ 77.59%] ··· io.csv.ParseDateComparison.time_to_datetime_format_DD_MM_YYYY                                                        ok
[ 77.59%] ··· ============= ============
               cache_dates              
              ------------- ------------
                  False      13.1±0.3ms 
                   True      2.82±0.2ms 
              ============= ============

[ 78.45%] ··· io.csv.ReadCSVCachedParseDates.time_read_csv_cached                                                                  ok
[ 78.45%] ··· ========== ============= ============
              --                   engine          
              ---------- --------------------------
               do_cache        c          python   
              ========== ============= ============
                 True     1.34±0.06ms   1.99±0.2ms 
                False      1.47±0.1ms   2.12±0.2ms 
              ========== ============= ============

[ 79.31%] ··· io.csv.ReadCSVCategorical.time_convert_direct                                                                        ok
[ 79.31%] ··· ======== ============
               engine              
              -------- ------------
                 c      20.1±0.6ms 
               python    116±2ms   
              ======== ============

[ 80.17%] ··· io.csv.ReadCSVCategorical.time_convert_post                                                                          ok
[ 80.17%] ··· ======== ============
               engine              
              -------- ------------
                 c      30.3±0.2ms 
               python    105±2ms   
              ======== ============

[ 81.03%] ··· io.csv.ReadCSVComment.time_comment                                                                                   ok
[ 81.03%] ··· ======== ============
               engine              
              -------- ------------
                 c      13.6±0.7ms 
               python   13.6±0.8ms 
              ======== ============

[ 81.90%] ··· io.csv.ReadCSVConcatDatetime.time_read_csv                                                                     18.1±1ms
[ 82.76%] ··· io.csv.ReadCSVConcatDatetimeBadDateValue.time_read_csv                                                               ok
[ 82.76%] ··· ================ ============
               bad_date_value              
              ---------------- ------------
                    nan         9.72±0.5ms 
                     0          6.76±0.9ms 
                     ''         7.87±0.4ms 
              ================ ============

[ 83.62%] ··· io.csv.ReadCSVDInferDatetimeFormat.time_read_csv                                                                     ok
[ 83.62%] ··· ======================= ============ ============= ============
              --                                       format                
              ----------------------- ---------------------------------------
               infer_datetime_format     custom       iso8601        ymd     
              ======================= ============ ============= ============
                        True           3.77±0.3ms    1.68±0.1ms   1.57±0.1ms 
                       False            70.0±5ms    1.40±0.06ms   1.21±0.2ms 
              ======================= ============ ============= ============

[ 84.48%] ··· io.csv.ReadCSVEngine.time_read_bytescsv                                                                              ok
[ 84.48%] ··· ========= ============
                engine              
              --------- ------------
                  c      11.6±0.6ms 
                python    167±4ms   
               pyarrow   5.60±0.2ms 
              ========= ============

[ 85.34%] ··· io.csv.ReadCSVEngine.time_read_stringcsv                                                                             ok
[ 85.34%] ··· ========= ============
                engine              
              --------- ------------
                  c      12.4±0.8ms 
                python    166±5ms   
               pyarrow   5.44±0.2ms 
              ========= ============

[ 86.21%] ··· io.csv.ReadCSVFloatPrecision.time_read_csv                                                                           ok
[ 86.21%] ··· ===== ============= ============= ================ ============ ============= ================
              --                                   decimal / float_precision                                
              ----- ----------------------------------------------------------------------------------------
               sep     . / None      . / high    . / round_trip    _ / None      _ / high    _ / round_trip 
              ===== ============= ============= ================ ============ ============= ================
                ,     1.08±0.2ms    1.13±0.1ms    1.73±0.08ms     1.14±0.1ms   1.17±0.04ms    1.12±0.07ms   
                ;    1.05±0.09ms   1.09±0.05ms    1.70±0.07ms     1.12±0.1ms    1.22±0.2ms    1.24±0.09ms   
              ===== ============= ============= ================ ============ ============= ================

[ 87.07%] ··· io.csv.ReadCSVFloatPrecision.time_read_csv_python_engine                                                             ok
[ 87.07%] ··· ===== ============ ============ ================ ============= ============ ================
              --                                  decimal / float_precision                               
              ----- --------------------------------------------------------------------------------------
               sep    . / None     . / high    . / round_trip     _ / None     _ / high    _ / round_trip 
              ===== ============ ============ ================ ============= ============ ================
                ,    2.70±0.2ms   2.72±0.1ms     2.66±0.1ms      2.24±0.2ms   2.45±0.1ms     2.30±0.2ms   
                ;    2.53±0.1ms   2.73±0.1ms     2.62±0.2ms     2.35±0.09ms   2.31±0.1ms     2.17±0.1ms   
              ===== ============ ============ ================ ============= ============ ================

[ 87.93%] ··· io.csv.ReadCSVMemoryGrowth.mem_parser_chunks                                                                         ok
[ 87.93%] ··· ======== ===
               engine     
              -------- ---
                 c      0 
               python   0 
              ======== ===

[ 88.79%] ··· io.csv.ReadCSVParseDates.time_baseline                                                                               ok
[ 88.79%] ··· ======== =============
               engine               
              -------- -------------
                 c      1.21±0.07ms 
               python    1.23±0.2ms 
              ======== =============

[ 89.66%] ··· io.csv.ReadCSVParseDates.time_multiple_date                                                                          ok
[ 89.66%] ··· ======== =============
               engine               
              -------- -------------
                 c      1.54±0.05ms 
               python    1.56±0.1ms 
              ======== =============

[ 90.52%] ··· io.csv.ReadCSVParseSpecialDate.time_read_special_date                                                                ok
[ 90.52%] ··· ======= ============ ============
              --                engine         
              ------- -------------------------
               value       c          python   
              ======= ============ ============
                 mY    5.48±0.1ms    23.9±1ms  
                mdY    3.05±0.1ms   8.99±0.7ms 
                 hm    2.49±0.3ms   9.10±0.3ms 
              ======= ============ ============

[ 91.38%] ··· io.csv.ReadCSVSkipRows.time_skipprows                                                                                ok
[ 91.38%] ··· ========== ============ ============ ============
              --                         engine                
              ---------- --------------------------------------
               skiprows       c          python      pyarrow   
              ========== ============ ============ ============
                 None     10.6±0.5ms   45.1±0.8ms   7.97±0.5ms 
                10000     7.90±0.2ms    33.8±1ms    7.59±0.1ms 
              ========== ============ ============ ============

[ 92.24%] ··· io.csv.ReadCSVThousands.time_thousands                                                                               ok
[ 92.24%] ··· ===== ============ =============== ============ ============
              --                      thousands / engine                  
              ----- ------------------------------------------------------
               sep    None / c    None / python     , / c      , / python 
              ===== ============ =============== ============ ============
                ,    8.07±0.3ms      43.6±1ms     10.8±0.4ms    101±3ms   
                |    8.29±0.5ms      43.7±1ms     9.54±0.2ms    103±2ms   
              ===== ============ =============== ============ ============

[ 93.10%] ··· io.csv.ReadUint64Integers.time_read_uint64                                                                   2.61±0.1ms
[ 93.97%] ··· io.csv.ReadUint64Integers.time_read_uint64_na_values                                                         4.36±0.5ms
[ 94.83%] ··· io.csv.ReadUint64Integers.time_read_uint64_neg_values                                                        4.19±0.3ms
[ 95.69%] ··· io.csv.ToCSV.time_frame                                                                                              ok
[ 95.69%] ··· ======= ============
                kind              
              ------- ------------
                wide   59.8±0.3ms 
                long   75.9±0.5ms 
               mixed   10.8±0.3ms 
              ======= ============

[ 96.55%] ··· io.csv.ToCSVDatetime.time_frame_date_formatting                                                              9.84±0.2ms
[ 97.41%] ··· io.csv.ToCSVDatetimeBig.time_frame                                                                                   ok
[ 97.41%] ··· ======== ============
                obs                
              -------- ------------
                1000    2.99±0.1ms 
               10000    25.3±0.3ms 
               100000    249±5ms   
              ======== ============

[ 98.28%] ··· io.csv.ToCSVIndexes.time_head_of_multiindex                                                                  1.27±0.01s
[ 99.14%] ··· io.csv.ToCSVIndexes.time_multiindex                                                                             482±3ms
[100.00%] ··· io.csv.ToCSVIndexes.time_standard_index                                                                         374±3ms

BENCHMARKS NOT SIGNIFICANTLY CHANGED.
```
</details>

`BENCHMARKS NOT SIGNIFICANTLY CHANGED.`
 thanks @ales-erjavec very nice!