In [1]:

    

import numpy as np
import pandas as pd
import seaborn as sns
import timeit

sns.set(font_scale=1.7)

c_3_1 = pd.read_csv('./classifications/out.csv', header=0, delimiter=',')


    

    




---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
<ipython-input-1-44a9eade741e> in <module>()
      6 sns.set(font_scale=1.7)
      7 
----> 8 c_3_1 = pd.read_csv('./classifications/out.csv', header=0, delimiter=',')

C:\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, 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)
    644                     skip_blank_lines=skip_blank_lines)
    645 
--> 646         return _read(filepath_or_buffer, kwds)
    647 
    648     parser_f.__name__ = name

C:\Anaconda3\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
    387 
    388     # Create the parser.
--> 389     parser = TextFileReader(filepath_or_buffer, **kwds)
    390 
    391     if (nrows is not None) and (chunksize is not None):

C:\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, f, engine, **kwds)
    728             self.options['has_index_names'] = kwds['has_index_names']
    729 
--> 730         self._make_engine(self.engine)
    731 
    732     def close(self):

C:\Anaconda3\lib\site-packages\pandas\io\parsers.py in _make_engine(self, engine)
    921     def _make_engine(self, engine='c'):
    922         if engine == 'c':
--> 923             self._engine = CParserWrapper(self.f, **self.options)
    924         else:
    925             if engine == 'python':

C:\Anaconda3\lib\site-packages\pandas\io\parsers.py in __init__(self, src, **kwds)
   1388         kwds['allow_leading_cols'] = self.index_col is not False
   1389 
-> 1390         self._reader = _parser.TextReader(src, **kwds)
   1391 
   1392         # XXX

pandas\parser.pyx in pandas.parser.TextReader.__cinit__ (pandas\parser.c:4184)()

pandas\parser.pyx in pandas.parser.TextReader._setup_parser_source (pandas\parser.c:8449)()

FileNotFoundError: File b'./classifications/out.csv' does not exist

In [2]:

    

ax = sns.countplot(x='numprocs', data=c_3_1, hue='good_or_bad')
plt.legend(["Bad","Good"],loc='upper left')
plt.xlabel("Number of Processors")
plt.ylabel("Instances")
sns.plt.show()


    

In [ ]:

    

ax = sns.countplot(x='good_or_bad', data=c_3_1)
for p in ax.patches:
    ax.annotate(int(p.get_height()), 
                (p.get_x()+p.get_width()/2., p.get_height()), 
                ha='center', va='center', xytext=(0, 10), textcoords='offset points')
sns.plt.show()


    

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