In [2]:

    

import os
import pandas as pd

state_geo = os.path.join('data', 'us-states.json')

state_unemployment = os.path.join('data', 'US_Unemployment_Oct2012.csv')
state_data = pd.read_csv(state_unemployment)

m = folium.Map(location=[48, -102], zoom_start=3)

m.choropleth(
    geo_data=state_geo,
    name='choropleth',
    data=state_data,
    columns=['State', 'Unemployment'],
    key_on='feature.id',
    fill_color='YlGn',
    fill_opacity=0.7,
    line_opacity=0.2,
    legend_name='Unemployment Rate (%)'
)


folium.LayerControl().add_to(m)

m


    

    




---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
<ipython-input-2-c3a72c205a31> in <module>()
      5 
      6 state_unemployment = os.path.join('data', 'US_Unemployment_Oct2012.csv')
----> 7 state_data = pd.read_csv(state_unemployment)
      8 
      9 m = folium.Map(location=[48, -102], zoom_start=3)

C:\Anaconda3\envs\LenaEnv\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\envs\LenaEnv\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\envs\LenaEnv\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\envs\LenaEnv\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\envs\LenaEnv\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'data\\US_Unemployment_Oct2012.csv' does not exist

In [ ]: