In [1]:

    

import pandas as pd
import numpy as np


    

In [5]:

    

raw_data= {'Rate': ['0.3','0.4','0.4'],
          'DelayFixed': ['5,54','10.13','99.76'],
          'DelayFair': ['1.05','2.12','5.06'],
          'DelayBatch': ['0.95','1.63','2.57'],          
          'VarianceFixed': ['26.21','92.89','7504.41'],
          'VarianceFair': ['2.61','7.38','28.66'],
          'VarianceBatch': ['1.20','2.15','3.34'],}

df = pd.DataFrame(raw_data, columns = 
                  ['Rate','DelayFixed','DelayFair','DelayBatch','VarianceFixed','VarianceFair','VarianceBatch'])
df


    

    
Out[5]:






  

    

      

      
Rate
      
DelayFixed
      
DelayFair
      
DelayBatch
      
VarianceFixed
      
VarianceFair
      
VarianceBatch
    
  
  

    

      
0
      
0.3
      
5,54
      
1.05
      
0.95
      
26.21
      
2.61
      
1.20
    
    

      
1
      
0.4
      
10.13
      
2.12
      
1.63
      
92.89
      
7.38
      
2.15
    
    

      
2
      
0.4
      
99.76
      
5.06
      
2.57
      
7504.41
      
28.66
      
3.34
    
  

In [6]:

    

df.to_csv('/Users/kay/Documents/Klasse 11/Info/Seminar/DataFrames/Systems.csv')


    

In [11]:

    

df = pd.read_csv('/Users/kay/Documents/Klasse 11/Info/Seminar/DataFrames/Systems.csv', index_col='Rate')
df


    

    




---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-11-0385b2b552ae> in <module>()
----> 1 df = pd.read_csv('/Users/kay/Documents/Klasse 11/Info/Seminar/DataFrames/Systems.csv', index_col='Rate' , names='test')
      2 df

/Users/kay/miniconda3/lib/python3.5/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)
    643                     skip_blank_lines=skip_blank_lines)
    644 
--> 645         return _read(filepath_or_buffer, kwds)
    646 
    647     parser_f.__name__ = name

/Users/kay/miniconda3/lib/python3.5/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    398         return parser
    399 
--> 400     data = parser.read()
    401     parser.close()
    402     return data

/Users/kay/miniconda3/lib/python3.5/site-packages/pandas/io/parsers.py in read(self, nrows)
    936                 raise ValueError('skipfooter not supported for iteration')
    937 
--> 938         ret = self._engine.read(nrows)
    939 
    940         if self.options.get('as_recarray'):

/Users/kay/miniconda3/lib/python3.5/site-packages/pandas/io/parsers.py in read(self, nrows)
   1546                     values = data.pop(i)
   1547                 else:
-> 1548                     values = data.pop(self.index_col[i])
   1549 
   1550                 values = self._maybe_parse_dates(values, i,

KeyError: 'Rate'

In [ ]: