def test_dataframe(self):
ind = pd.date_range(start='1/1/2002', end='12/30/2008', freq="30min")
# test converting a dataframe with 1 col. This errored while
# multiple columns worked fine
df = pd.DataFrame({'returns': np.random.randn(len(ind))}, index=ind)
conv.convert_df_to_xts(df)
# test with two columns
df['bob'] = 3
conv.convert_df_to_xts(df)
def test_dataframe(self):
ind = pd.date_range(start='1/1/2002', end='12/30/2008', freq="30min")
# test converting a dataframe with 1 col. This errored while
# multiple columns worked fine
df = pd.DataFrame({'returns': np.random.randn(len(ind))}, index=ind)
conv.convert_df_to_xts(df)
# test with two columns
df['bob'] = 3
conv.convert_df_to_xts(df)
def pd_py2ri(o):
"""
"""
res = None
if isinstance(o, pd.Series):
o = pd.DataFrame(o, index=o.index)
if isinstance(o, pd.DataFrame):
if isinstance(o.index, pd.DatetimeIndex):
res = rconv.convert_df_to_xts(o)
else:
res = rcom.convert_to_r_dataframe(o)
if isinstance(o, pd.DatetimeIndex):
res = rconv.convert_datetime_index(o)
if isinstance(o, pd.Timestamp):
res = rconv.convert_timestamp(o)
if res is None:
try:
res = numpy2ri.py2ri(o)
except:
res = robjects.default_converter.py2ri(o)
return res
def pd_py2ri(o):
"""
"""
res = None
if isinstance(o, pd.Series):
o = pd.DataFrame(o, index=o.index)
if isinstance(o, pd.DataFrame):
if isinstance(o.index, pd.DatetimeIndex):
res = rconv.convert_df_to_xts(o)
else:
res = rcom.convert_to_r_dataframe(o)
if isinstance(o, pd.DatetimeIndex):
res = rconv.convert_datetime_index(o)
if isinstance(o, pd.Timestamp):
res = rconv.convert_timestamp(o)
if res is None:
try:
res = numpy2ri.py2ri(o)
except:
res = robjects.default_converter.py2ri(o)
return res
