search

hddm-devs / hddm

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
http://ski.clps.brown.edu/hddm_docs/
Other
261 stars 117 forks source link

loading data with HDDM tutorial #71

Open Gorana7 opened 3 years ago

Gorana7 commented 3 years ago

hello,

I've beeb using a python 2.7 environment using Conda and jupyter notebook. I can't load the data data = hddm.load_csv ('./cavanagh_theta_nn.csv')

I get the error message IOError Traceback (most recent call last)

in () ----> 1 data = hddm.load_csv ('./cavanagh_theta_nn.csv') /Users/gorana/opt/anaconda3/envs/py27/lib/python2.7/site-packages/kabuki/utils.pyc in load_csv(*args, **kwargs) 132 :SeeAlso: save_csv, pandas.read_csv() 133 """ --> 134 return pd.read_csv(*args, **kwargs) 135 136 /Users/gorana/opt/anaconda3/envs/py27/lib/python2.7/site-packages/pandas/io/parsers.pyc 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, skipfooter, 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, doublequote, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision) 700 skip_blank_lines=skip_blank_lines) 701 --> 702 return _read(filepath_or_buffer, kwds) 703 704 parser_f.__name__ = name /Users/gorana/opt/anaconda3/envs/py27/lib/python2.7/site-packages/pandas/io/parsers.pyc in _read(filepath_or_buffer, kwds) 427 428 # Create the parser. --> 429 parser = TextFileReader(filepath_or_buffer, **kwds) 430 431 if chunksize or iterator: /Users/gorana/opt/anaconda3/envs/py27/lib/python2.7/site-packages/pandas/io/parsers.pyc in __init__(self, f, engine, **kwds) 893 self.options['has_index_names'] = kwds['has_index_names'] 894 --> 895 self._make_engine(self.engine) 896 897 def close(self): /Users/gorana/opt/anaconda3/envs/py27/lib/python2.7/site-packages/pandas/io/parsers.pyc in _make_engine(self, engine) 1120 def _make_engine(self, engine='c'): 1121 if engine == 'c': -> 1122 self._engine = CParserWrapper(self.f, **self.options) 1123 else: 1124 if engine == 'python': /Users/gorana/opt/anaconda3/envs/py27/lib/python2.7/site-packages/pandas/io/parsers.pyc in __init__(self, src, **kwds) 1851 kwds['usecols'] = self.usecols 1852 -> 1853 self._reader = parsers.TextReader(src, **kwds) 1854 self.unnamed_cols = self._reader.unnamed_cols 1855 pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__() pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source() IOError: [Errno 2] File ./cavanagh_theta_nn.csv does not exist: './cavanagh_theta_nn.csv' I think the issue is my directory, but I don't know what to change the directory to using os.chdir. I've tried to make my own csv from the GitHub data, but that didn't work. I don't know how to ask python to use the GitHub directory to carry this out either. I have 0 python/coding experience.