我是jupyter的新手，并且一直试图在上周使用它。我有大量的excel表.csv格式，我想阅读和绘图。我是通过将.csv转换为.dat格式来实现的。
我的代码看起来像这样
import numpy as np
import pandas as pd
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
from matplotlib.colors import ListedColormap, LinearSegmentedColormap
file1 = 'king2.dat'
file2 = 'iso.dat'
data1 = pd.read_csv(file1, delimiter='\s+', header=None, engine='python')
data1.columns = ['no_plt', 'Op_RA_plt', 'Op_DE_plt', 'Vmag_plt', 'B-
V_plt', '(B-V)o_plt', 'no_2_plt', 'FUV_mag_plt','FUV_magerr_plt',
'(FUV-V)_plt', '(V-I)_plt', '(FUV-I)_plt',
'no_op_2M','Op_RA_2M','Op_DE_2M','Vmag_2M','(B-V)o_2M',
'FUV_mag_2M','FUV-V_2M','no_2M','j_m_2M','h_m_2M','k_m_2M','j-h_2M',
'h-k_2M','j-k_2M','(V-I)_2M','(FUV-I)_2M',
'no_MS','Op_RA_MS','Op_DE_MS','Vmag_MS','(B-V)o_MS',
'FUV_mag_MS','FUV-V_MS','(V-I)_MS','(FUV-I)_MS',
'no_508','Op_RA_508','Op_DE_508','Vmag_508','(B-V)o_508',
'FUV_mag_508','FUV-V_508', '(V-I)_508','(FUV-I)_508',
'no_RG','Op_RA_RG','Op_DE_RG','Vmag_RG','(B-V)o_RG','FUV_mag_RG',
'FUV-V_RG','(V-I)_RG','(FUV-I)_RG','no_RG609','Op_RA_RG609',
'Op_DE_RG609','Vmag_RG609','(B-V)o_RG609','FUV_mag_RG609',
'FUV-V_RG609', '(V-I)_RG609', '(FUV-I)_RG609',
'no_TF621','Op_RA_TF621','Op_DE_TF621','Vmag_TF621','(B-V)o_TF621',
'FUV_mag_TF621','FUV-V_TF621','(V-I)_TF621','(FUV-I)_TF621',
'no_onBSS','Op_RA_onBSS','Op_DE_onBSS','Vmag_onBSS','(B-V)o_onBSS',
'FUV_mag_onBSS','FUV-V_onBSS','(V-I)_onBSs','(FUV-I)_onBSS',
'no_BSSreg','Op_RA_BSSreg','Op_DE_BSSreg','Vmag_BSSreg',
'(B-V)o_BSSreg','FUV_mag_BSSreg','FUV-V_BSSreg','(V-I)_BSSreg',
'(FUV-I)_BSSreg','no_BSSreg558', 'Op_RA_BSSreg558' , 'Op_DE_BSSreg558','Vmag_BSSreg558','(B-V)o_BSSreg558',
'FUV_mag_BSSreg558','FUV-V_BSSreg558','(V-I)_BSSreg558','(FUV-I)_BSSreg558','no_aMS','Op_RA_aMS',
'Op_DE_aMS','Vmag_aMS','(B-V)o_aMS','FUV_mag_aMS','FUV-V_aMS','(V-I)_aMS','(FUV-I)_aMS','no_bMS',
'Op_RA_bMS','Op_DE_bMS','Vmag_bMS','(B-V)o_bMS','FUV_mag_bMS','FUV-V_bMS','(V-I)_bMS',
'(FUV-I)_bMS','no _SED','Op_RA _SED','Op_DE _SED','Vmag _SED','(B-V)o _SED','FUV_mag _SED',
'FUV-V _SED','(V-I)_SED','(FUV-I)_SED']
data2 = pd.read_csv(file1, delimiter='\s+', header=None, engine='python')
data2.columns =['age','log(Z)','mass','logl','logt','logg',
'FUVCa_14.76','NUVB15_14.76', '(FUV-NUV)14.76','V14.76','B14.76',
'B-V14.76','(FUV-V)14.76','(NUV-V)14.76','GA NUV14.76',
'(Uf-Gn)14.76','I14.76','(V-I)14.76','(FUV-I)14.76']
def fit_data():
fig = plt.figure(1,figsize=(8,8))
plt.subplot(111)
plt.scatter(data1['(B-V)o_plt'], data1['Vmag_plt'], marker='.', color='r', s=5)
plt.scatter(data2['B-V14.76'], data2['V14.76'], marker='o', color='g', s=6)
plt.xlabel('RA_F',size=20)
plt.ylabel('DEC_F',size=20)
plt.gca().invert_xaxis()
plt.gca().invert_yaxis()
plt.show()
plt.close()
fit_data()
当我有4列的纸张时，它会读取并绘制而没有任何错误。但是，如果我增加列，它会给我错误：
ParserError Traceback (most recent call last)
<ipython-input-5-fe66f2a2aac9> in <module>()
13 data1.columns = ['age','FUVCa','NUVB15','(FUV-NUV)','V','B','B-V','(FUV-V)','(NUV-V)','I','(V-I)','(FUV-I)']
14
---> 15 data2 = pd.read_csv(file2, delimiter='\s+', header=None, engine='python')
16 data2.columns = ['no','Op_RA','Op_DE','Vmag','(B-V)o','FUV_mag','(FUV-V)','(V-I)','(FUV-I)', 'no_MS','Op_RA_MS','Op_DE_MS','Vmag_MS','(B-V)o_MS',
17 'FUV_mag_MS','FUV-V_MS','(V-I)_MS','(FUV-I)_MS','no_508','Op_RA_508','Op_DE_508','Vmag_508',
~/anaconda3/lib/python3.6/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, 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, skipfooter, skip_footer, doublequote, delim_whitespace, as_recarray, compact_ints, use_unsigned, low_memory, buffer_lines, memory_map, float_precision)
707 skip_blank_lines=skip_blank_lines)
708
--> 709 return _read(filepath_or_buffer, kwds)
710
711 parser_f.__name__ = name
~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
453
454 try:
--> 455 data = parser.read(nrows)
456 finally:
457 parser.close()
~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in read(self, nrows)
1067 raise ValueError('skipfooter not supported for iteration')
1068
-> 1069 ret = self._engine.read(nrows)
1070
1071 if self.options.get('as_recarray'):
~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in read(self, rows)
2261 content = content[1:]
2262
-> 2263 alldata = self._rows_to_cols(content)
2264 data = self._exclude_implicit_index(alldata)
2265
~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _rows_to_cols(self, content)
2916 msg += '. ' + reason
2917
-> 2918 self._alert_malformed(msg, row_num + 1)
2919
2920 # see gh-13320
~/anaconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _alert_malformed(self, msg, row_num)
2683
2684 if self.error_bad_lines:
-> 2685 raise ParserError(msg)
2686 elif self.warn_bad_lines:
2687 base = 'Skipping line {row_num}: '.format(row_num=row_num)
ParserError: Expected 30 fields in line 21, saw 45. Error could possibly be due to quotes being ignored when a multi-char delimiter is used.
我无法理解它的含义。我不知道我哪里出错了，或者我是否给了太多的栏目来处理它。
第20行
508 12.76968 58.18559 18.97 0.96 0.65 1371 22.925 0.343 3.955 508 12.76968 58.18559 18.97 0.65 22.925 3.955 32 16.111 15.777 15.253 0.334 0.524 0.858 508 12.76968 58.18559 18.97 0.65 22.925 3.955 508 12.76968 58.18559 18.97 0.65 22.925 3.955
第21行
508 12.76968 58.18559 18.97 0.96 0.65 1371 22.925 0.343 3.955 508 12.76968 58.18559 18.97 0.6522.925 3.955 32 16.111 15.777 15.253 0.334 0.524 0.858 508 12.76968 58.18559 18.97 0.65 22.925 3.955 508 12.76968 58.18559 18.97 0.65 22.925 3.955 508 12.76968 58.18559 18.97 0.65 22.925 3.955