Pandas导入CSV和Excel fi

End Customer Organization ID,End Customer Organization Name,End Customer Top Parent Organization ID,End Customer Top Parent Organization Name,Reseller Top Parent ID,Reseller Top Parent Name,Business,Rev Sum Division,Rev Sum Category,Product Family,Version,Pricing Level,Summary Pricing Level,Detail Pricing Level,MS Sales Amount,MS Sales Licenses,Fiscal Year,Sales Date 11027676,Baroda Western Uttar Pradesh Gramin Bankgfhgfnjgfnmjmhgmghmghmghmnghnmghnmhgnmghnghngh,4078446,Bank Of Barodadfhhgfjyjtkyukujkyujkuhykluiluilui;iooi';po'fserwefvegwegf,1809012,"Hcl Infosystems Ltd - Partnerdghftrutyhb frhywer5y5tyu6ui7iukluyj,lgjmfgnhfrgweffw",Server & CALsdgrgrfgtrhytrnhjdgthjtyjkukmhjmghmbhmgfngdfbndfhtgh,SQL Server & CALdfhtrhtrgbhrghrye5y45y45yu56juhydsgfaefwe,SQL CALdhdfthtrutrjurhjethfdehrerfgwerweqeadfawrqwerwegtrhyjuytjhyj,SQL CALdtrye45y3t434tjkabcjkasdhfhasdjkcbaksmjcbfuigkjasbcjkasbkdfhiwh,2005,Openfkvgjesropiguwe90fujklascnioawfy98eyfuiasdbcvjkxsbhg,Open Lklbjdfoigueroigbjvwioergyuiowerhgosdhvgfoisdhyguiserhguisrh,"Open Stddfm,vdnoghioerivnsdflierohgushdfovhsiodghuiohdbvgsjdhgouiwerho",125.85,1,FY07,12/28/2006 12835756,Uttam Strips Pvt Ltd,12835756,Uttam Strips Pvt Ltd,12565538,Redington C/O Fortis Financial Services Ltd,MBS,Dynamics ERP,Dynamics NAV,Dynamics NAV Business Essentials,Non-specific,Other,MBS SA,MBS New Customer Enhanc. Def,0,0,FY09,9/15/2008 12233135,Bhagwan Singh Tondon,12233135,Bhagwan Singh Tondon,2652941,H B S Systems Pvt Ltd,Server & CAL,SQL Server & CAL,SQL CAL,SQL CAL,Non-specific,Open,Open L&SA,Deferred Open L&SA - New,0,0,FY09,9/15/2008 11602305,Maya Academy Of Advanced Cinematics,9750934,Maya Entertainment Ltd,336146,Embee Software Pvt Ltd,Server & CAL,Windows Server & CAL,Windows Server HPC,Windows Compute Cluster Server,Non-specific,Open,Open V/MYO - Rec,OLV Perpet L&SA Recur-Def,0,0,FY09,9/25/2008 13336009,Remiel Softech Solution Pvt Ltd,13336009,Remiel Softech Solution Pvt Ltd,13335482,Redington C/O Remiel Softech Solutions Pvt Ltd,MBS,Dynamics ERP,Dynamics NAV,Dynamics NAV Business Essentials,Non-specific,Other,MBS SA,MBS New Customer Enhanc. Def,0,0,FY09,12/23/2008

Traceback (most recent call last): File "<pyshell#25>", line 1, in <module> df=pd.read_csv(filename,sep=',') File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 400, in parser_f return _read(filepath_or_buffer, kwds) File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 205, in _read return parser.read() File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 608, in read ret = self._engine.read(nrows) File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 1028, in read data = self._reader.read(nrows) File "parser.pyx", line 706, in pandas.parser.TextReader.read (pandas\parser.c:6745) File "parser.pyx", line 728, in pandas.parser.TextReader._read_low_memory (pandas\parser.c:6964) File "parser.pyx", line 804, in pandas.parser.TextReader._read_rows (pandas\parser.c:7780) File "parser.pyx", line 890, in pandas.parser.TextReader._convert_column_data (pandas\parser.c:8793) File "parser.pyx", line 950, in pandas.parser.TextReader._convert_tokens (pandas\parser.c:9484) File "parser.pyx", line 1026, in pandas.parser.TextReader._convert_with_dtype (pandas\parser.c:10642) File "parser.pyx", line 1046, in pandas.parser.TextReader._string_convert (pandas\parser.c:10853) File "parser.pyx", line 1278, in pandas.parser._string_box_utf8 (pandas\parser.c:15657) UnicodeDecodeError: 'utf-8' codec can't decode byte 0xc1 in position 90: invalid start byte

Traceback (most recent call last): File "<pyshell#26>", line 1, in <module> df=pd.read_csv(filename,encoding='utf-16',sep=',') File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 400, in parser_f return _read(filepath_or_buffer, kwds) File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 198, in _read parser = TextFileReader(filepath_or_buffer, **kwds) File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 479, in __init__ self._make_engine(self.engine) File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 586, in _make_engine self._engine = CParserWrapper(self.f, **self.options) File "C:\Python33\lib\site-packages\pandas\io\parsers.py", line 957, in __init__ self._reader = _parser.TextReader(src, **kwds) File "parser.pyx", line 477, in pandas.parser.TextReader.__cinit__ (pandas\parser.c:4434) File "parser.pyx", line 592, in pandas.parser.TextReader._get_header (pandas\parser.c:5660) File "parser.pyx", line 768, in pandas.parser.TextReader._tokenize_rows (pandas\parser.c:7451) File "parser.pyx", line 1661, in pandas.parser.raise_parser_error (pandas\parser.c:18744) pandas.parser.CParserError: Error tokenizing data. C error: Calling read(nbytes) on source failed. Try engine='python'.

Traceback (most recent call last): File "<pyshell#30>", line 1, in <module> df=pd.read_excel('J:\dmqp on 192.168.1.41\MS Sales Dump (FY09)xls','MS Sales Dump (FY09)') File "C:\Python33\lib\site-packages\pandas\io\excel.py", line 52, in read_excel return ExcelFile(path_or_buf,kind=kind).parse(sheetname=sheetname, File "C:\Python33\lib\site-packages\pandas\io\excel.py", line 68, in __init__ import xlrd # throw an ImportError if we need to ImportError: No module named 'xlrd'

>>>df <class 'pandas.core.frame.DataFrame'> Int64Index: 263244 entries, 0 to 263243 Data columns (total 1 columns): End Customer Organization ID,End Customer Organization Name,End Customer Top Parent Organization ID,End Customer Top Parent Organization Name,Reseller Top Parent ID,Reseller Top Parent Name,Business,Rev Sum Division,Rev Sum Category,Product Family,Version,Pricing Level,Summary Pricing Level,Detail Pricing Level,MS Sales Amount,MS Sales Licenses,Fiscal Year,Sales Date 263244 non-null values dtypes: object(1)

>>> df =pd.read_csv(r'J:\Data.txt') >>> print(df) End Customer Organization ID \ 0 11027676 1 12835756 2 12233135 3 11602305 4 13336009 End Customer Organization Name \ 0 Baroda Western Uttar Pradesh Gramin Bankgfhgfn... 1 Uttam Strips Pvt Ltd 2 Bhagwan Singh Tondon 3 Maya Academy Of Advanced Cinematics 4 Remiel Softech Solution Pvt Ltd End Customer Top Parent Organization ID \ 0 4078446 1 12835756 2 12233135 3 9750934 4 13336009 End Customer Top Parent Organization Name Reseller Top Parent ID \ 0 Bank Of Barodadfhhgfjyjtkyukujkyujkuhykluiluil... 1809012 1 Uttam Strips Pvt Ltd 12565538 2 Bhagwan Singh Tondon 2652941 3 Maya Entertainment Ltd 336146 4 Remiel Softech Solution Pvt Ltd 13335482 Reseller Top Parent Name \ 0 Hcl Infosystems Ltd - Partnerdghftrutyhb frhyw... 1 Redington C/O Fortis Financial Services Ltd 2 H B S Systems Pvt Ltd 3 Embee Software Pvt Ltd 4 Redington C/O Remiel Softech Solutions Pvt Ltd Business \ 0 Server & CALsdgrgrfgtrhytrnhjdgthjtyjkukmhjmgh... 1 MBS 2 Server & CAL 3 Server & CAL 4 MBS Rev Sum Division \ 0 SQL Server & CALdfhtrhtrgbhrghrye5y45y45yu56ju... 1 Dynamics ERP 2 SQL Server & CAL 3 Windows Server & CAL 4 Dynamics ERP Rev Sum Category \ 0 SQL CALdhdfthtrutrjurhjethfdehrerfgwerweqeadfa... 1 Dynamics NAV 2 SQL CAL 3 Windows Server HPC 4 Dynamics NAV Product Family Version \ 0 SQL CALdtrye45y3t434tjkabcjkasdhfhasdjkcbaksmj... 2005 1 Dynamics NAV Business Essentials Non-specific 2 SQL CAL Non-specific 3 Windows Compute Cluster Server Non-specific 4 Dynamics NAV Business Essentials Non-specific Pricing Level \ 0 Openfkvgjesropiguwe90fujklascnioawfy98eyfuiasd... 1 Other 2 Open 3 Open 4 Other Summary Pricing Level \ 0 Open Lklbjdfoigueroigbjvwioergyuiowerhgosdhvgf... 1 MBS SA 2 Open L&SA 3 Open V/MYO - Rec 4 MBS SA Detail Pricing Level MS Sales Amount \ 0 Open Stddfm,vdnoghioerivnsdflierohgushdfovhsio... 125.85 1 MBS New Customer Enhanc. Def 0.00 2 Deferred Open L&SA - New 0.00 3 OLV Perpet L&SA Recur-Def 0.00 4 MBS New Customer Enhanc. Def 0.00 MS Sales Licenses Fiscal Year Sales Date 0 1 FY07 12/28/2006 1 0 FY09 9/15/2008 2 0 FY09 9/15/2008 3 0 FY09 9/25/2008 4 0 FY09 12/23/2008 >>>

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1楼 · 发布于 2024-05-29 03:07:47

我想你的主要问题和编码有关。我已经忍受了处理csv文件中奇怪编码的痛苦。在这些情况下，帮助我的是尝试检测文件的真实编码，并用pandas正确加载它。

请尝试下面的代码：

from chardet.universaldetector import UniversalDetector

def test_encoding(file_name):
    detector = UniversalDetector()
    with open(file_name, 'rb') as f:
        for line in f:
            detector.feed(line)
            if detector.done:
                 break
        detector.close()
    r = detector.result
    return "Detected encoding %s with confidence %s" % (r['encoding'], r['confidence'])

这将尝试推断文件的编码，然后使用pandas正确加载文件。希望有帮助。。。

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