关于python：使用pandas的read_csv打开txt文件

open txt file using read_csv by pandas

我正在尝试使用pandas处理txt文件。
但是，我在read_csv上遇到以下错误

CParserError Traceback (most recent call
last) in ()
22 Col.append(elm)
23
---> 24 revised=pd.read_csv(Path+file,skiprows=Header+1,header=None,delim_whitespace=True)
25
26 TimeSeries.append(revised)

C:\Users\obakatsu\Anaconda3\lib\site-packages\pandas\io\parsers.py in
parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col,
usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters,
true_values, false_values, skipinitialspace, skiprows, skipfooter,
nrows, na_values, keep_default_na, na_filter, verbose,
skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col,
date_parser, dayfirst, iterator, chunksize, compression, thousands,
decimal, lineterminator, quotechar, quoting, escapechar, comment,
encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines,
skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints,
use_unsigned, low_memory, buffer_lines, memory_map, float_precision)
560 skip_blank_lines=skip_blank_lines)
561
--> 562 return _read(filepath_or_buffer, kwds)
563
564 parser_f.name = name

C:\Users\obakatsu\Anaconda3\lib\site-packages\pandas\io\parsers.py in
_read(filepath_or_buffer, kwds)
323 return parser
324
--> 325 return parser.read()
326
327 _parser_defaults = {

C:\Users\obakatsu\Anaconda3\lib\site-packages\pandas\io\parsers.py in
read(self, nrows)
813 raise ValueError('skip_footer not supported for iteration')
814
--> 815 ret = self._engine.read(nrows)
816
817 if self.options.get('as_recarray'):

C:\Users\obakatsu\Anaconda3\lib\site-packages\pandas\io\parsers.py in
read(self, nrows) 1312 def read(self, nrows=None): 1313
try:
-> 1314 data = self._reader.read(nrows) 1315 except StopIteration: 1316 if self._first_chunk:

pandas\parser.pyx in pandas.parser.TextReader.read
(pandas\parser.c:8748)()

pandas\parser.pyx in pandas.parser.TextReader._read_low_memory
(pandas\parser.c:9003)()

pandas\parser.pyx in pandas.parser.TextReader._read_rows
(pandas\parser.c:9731)()

pandas\parser.pyx in pandas.parser.TextReader._tokenize_rows
(pandas\parser.c:9602)()

pandas\parser.pyx in pandas.parser.raise_parser_error
(pandas\parser.c:23325)()

CParserError: Error tokenizing data. C error: Expected 4 fields in
line 6, saw 8

有谁知道如何解决这个问题？
我想要处理的python脚本和示例txt文件如下所示。

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Path='data/NanFung/OCTA_Tower/test/'
files=os.listdir(Path)
TimeSeries=[]
Cols=[]
for file in files:
new=open(Path+file)
Supplement=[]
Col=[]
data=[]
Header=0
#calculate how many rows should be skipped
for line in new:
if line.startswith('Timestamp'):
new1=line.split("")
new1[-1]=str(file)[:-4]
break
else:
Header += 1

#clean col name
for elm in new1:
if len(elm)>0:
Col.append(elm)

revised=pd.read_csv(Path+file,skiprows=Header+1,header=None,delim_whitespace=True)
TimeSeries.append(revised)
Cols.append(Col)

txt文件

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history:/NIKL6215_ENC_1/CH$2d19$2d1$20$20CHW$20OUTLET$20TEMP
20-Oct-12 8:00 PM CT to ?

Timestamp Trend Flags Status Value (oC)
------------------------- ----------- ------ ----------
20-Oct-12 8:00:00 PM HKT {start} {ok} 15.310 oC
21-Oct-12 12:00:00 AM HKT { } {ok} 15.130 oC