def _update(self): res = h2o.frame(self._id)["frames"][0] # TODO: exclude here? self._nrows = res["rows"] self._ncols = len(res["columns"]) self._col_names = [c["label"] for c in res["columns"]] self._computed=True self._ast=None
def _update(self):
# get ncols,nrows,names and exclude everything else
# frames_ex = ["row_offset", "row_count", "checksum", "default_percentiles", "compatible_models",
# "vec_ids","chunk_summary","distribution_summary"]
# columns_ex = ["missing_count", "zero_count", "positive_infinity_count", "negative_infinity_count",
# "mins", "maxs", "mean", "sigma", "type", "domain", "data", "string_data",
# "precision", "histogram_bins", "histogram_base", "histogram_stride", "percentiles"]
#
# frames_ex = "frames/" + ",frames/".join(frames_ex)
# columns_ex = "frames/columns/" + ",frames/columns/".join(columns_ex)
# exclude="?_exclude_fields={},{}".format(frames_ex,columns_ex)
res = h2o.frame(self._id)["frames"][0] # TODO: exclude here?
self._nrows = res["rows"]
self._ncols = len(res["columns"])
self._col_names = [c["label"] for c in res["columns"]]
self._computed=True
self._ast=None
def describe(self):
"""
Generate an in-depth description of this H2OFrame.
The description is a tabular print of the type, min, max, sigma, number of zeros,
and number of missing elements for each H2OVec in this H2OFrame.
:return: None (print to stdout)
"""
self._eager()
thousands_sep = h2o.H2ODisplay.THOUSANDS
print "Rows:", thousands_sep.format(self._nrows), "Cols:", thousands_sep.format(self._ncols)
chunk_dist_sum = h2o.frame(self._id)["frames"][0]
dist_summary = chunk_dist_sum["distribution_summary"]
chunk_summary = chunk_dist_sum["chunk_summary"]
chunk_summary.show()
dist_summary.show()
self.summary()
def describe(self):
"""
Generate an in-depth description of this H2OFrame.
The description is a tabular print of the type, min, max, sigma, number of zeros,
and number of missing elements for each H2OVec in this H2OFrame.
:return: None (print to stdout)
"""
self._eager()
thousands_sep = h2o.H2ODisplay.THOUSANDS
print "Rows:", thousands_sep.format(self._nrows), "Cols:", thousands_sep.format(self._ncols)
chunk_dist_sum = h2o.frame(self._id)["frames"][0]
dist_summary = chunk_dist_sum["distribution_summary"]
chunk_summary = chunk_dist_sum["chunk_summary"]
chunk_summary.show()
dist_summary.show()
self.summary()