documentation

Author: sdpython

_doc/sphinxdoc/source/conf.py

@@ -65,16 +65,17 @@
  'Dataframe': 'https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html',
  'DataFrame': 'https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html',
  'dataframes': 'https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.html',
+ 'Hadoop': 'http://hadoop.apache.org/',
+ 'ijson': 'https://github.com/ICRAR/ijson',
  'pandas': ('http://pandas.pydata.org/pandas-docs/stable/',
  ('http://pandas.pydata.org/pandas-docs/stable/generated/pandas.{0}.html', 1),
  ('http://pandas.pydata.org/pandas-docs/stable/generated/pandas.{0}.{1}.html', 2)),
- 'sklearn': ('http://scikit-learn.org/stable/',
- ('http://scikit-learn.org/stable/modules/generated/{0}.html', 1),
- ('http://scikit-learn.org/stable/modules/generated/{0}.{1}.html', 2)),
- 'Hadoop': 'http://hadoop.apache.org/',
  'pyarrow': 'https://arrow.apache.org/docs/python/',
  'pyspark': 'http://spark.apache.org/docs/2.1.1/api/python/index.html',
  'scikit-multiflow': 'https://scikit-multiflow.github.io/',
+ 'sklearn': ('http://scikit-learn.org/stable/',
+ ('http://scikit-learn.org/stable/modules/generated/{0}.html', 1),
+ ('http://scikit-learn.org/stable/modules/generated/{0}.{1}.html', 2)),
  'streamz': 'https://streamz.readthedocs.io/en/latest/index.html',
  'tornado': 'https://www.tornadoweb.org/en/stable/',
 })

pandas_streaming/df/dataframe_helpers.py

@@ -376,7 +376,7 @@ def pandas_groupby_nan(df, by, axis=0, as_index=False, suffix=None, nanback=True
  typ = {c: t for c, t in zip( # pylint: disable=R1721
  df.columns, df.dtypes)} # pylint: disable=R1721
  if typ[by[0]] != do:
- warnings.warn(
+ warnings.warn( # pragma: no cover
  "[pandas_groupby_nan] NaN value: {0}".format(rep))
  return res
  for b in by:

pandas_streaming/df/dataframe_io.py

@@ -67,7 +67,7 @@ def to_zip(df, zipfilename, zname="df.csv", **kwargs):
  stb = io.StringIO()
  ext = os.path.splitext(zname)[-1]
  if ext == '.npy':
- raise ValueError(
+ raise ValueError( # pragma: no cover
  "Extension '.npy' cannot be used to save a dataframe.")
  df.to_csv(stb, **kwargs)
  elif isinstance(df, numpy.ndarray):