In [7]:
import numpy as np
import pandas as pd
import statsmodels.api as sm
import statsmodels.formula.api as smf
In [8]:
cd ../../../
/home/wmmurrah/FOCAL
In [9]:
data = pd.read_csv("data/bivariate.csv")
---------------------------------------------------------------------------
IOError Traceback (most recent call last)
<ipython-input-9-39938acec277> in <module>()
----> 1 data = pd.read_csv("data/bivariate.csv")
/home/wmmurrah/anaconda/lib/python2.7/site-packages/pandas/io/parsers.pyc in parser_f(filepath_or_buffer, sep, dialect, compression, doublequote, escapechar, quotechar, quoting, skipinitialspace, lineterminator, header, index_col, names, prefix, skiprows, skipfooter, skip_footer, na_values, true_values, false_values, delimiter, converters, dtype, usecols, engine, delim_whitespace, as_recarray, na_filter, compact_ints, use_unsigned, low_memory, buffer_lines, warn_bad_lines, error_bad_lines, keep_default_na, thousands, comment, decimal, parse_dates, keep_date_col, dayfirst, date_parser, memory_map, float_precision, nrows, iterator, chunksize, verbose, encoding, squeeze, mangle_dupe_cols, tupleize_cols, infer_datetime_format, skip_blank_lines)
496 skip_blank_lines=skip_blank_lines)
497
--> 498 return _read(filepath_or_buffer, kwds)
499
500 parser_f.__name__ = name
/home/wmmurrah/anaconda/lib/python2.7/site-packages/pandas/io/parsers.pyc in _read(filepath_or_buffer, kwds)
273
274 # Create the parser.
--> 275 parser = TextFileReader(filepath_or_buffer, **kwds)
276
277 if (nrows is not None) and (chunksize is not None):
/home/wmmurrah/anaconda/lib/python2.7/site-packages/pandas/io/parsers.pyc in __init__(self, f, engine, **kwds)
588 self.options['has_index_names'] = kwds['has_index_names']
589
--> 590 self._make_engine(self.engine)
591
592 def _get_options_with_defaults(self, engine):
/home/wmmurrah/anaconda/lib/python2.7/site-packages/pandas/io/parsers.pyc in _make_engine(self, engine)
729 def _make_engine(self, engine='c'):
730 if engine == 'c':
--> 731 self._engine = CParserWrapper(self.f, **self.options)
732 else:
733 if engine == 'python':
/home/wmmurrah/anaconda/lib/python2.7/site-packages/pandas/io/parsers.pyc in __init__(self, src, **kwds)
1101 kwds['allow_leading_cols'] = self.index_col is not False
1102
-> 1103 self._reader = _parser.TextReader(src, **kwds)
1104
1105 # XXX
pandas/parser.pyx in pandas.parser.TextReader.__cinit__ (pandas/parser.c:3246)()
pandas/parser.pyx in pandas.parser.TextReader._setup_parser_source (pandas/parser.c:6111)()
IOError: File data/bivariate.csv does not exist
In [6]:
data
Out[6]:
Case
X
W
Y
0
A
16
48
100
1
B
14
47
92
2
C
16
45
88
3
D
12
45
95
4
E
18
46
98
5
F
18
46
101
6
G
13
47
97
7
H
16
48
98
8
I
18
49
110
9
J
22
49
124
10
K
18
50
102
11
L
19
51
115
12
M
16
52
92
13
N
16
52
102
14
O
22
50
104
15
P
12
51
85
16
Q
20
54
118
17
R
14
53
105
18
S
21
52
111
19
T
17
53
122
In [ ]:
# Load data
dat = sm.datasets.get_rdataset("Guerry", "HistData").data
# Fit regression model (using the natural log of one of the regressors)
results = smf.ols('Lottery ~ Literacy + np.log(Pop1831)', data=dat).fit()
# Inspect the results
print results.summary()
Content source: StatisticalProgramming/StructuralEquationModeling
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