fixed typos

IngoScholtes · IngoScholtes · commit 1d341eae2149 · 2018-08-18T17:26:29.000+02:00
diff --git a/DESCRIPTION.rst b/DESCRIPTION.rst
@@ -1 +1 @@
-pathpy is an OpenSource python package for the analysis of time series data on networks using higher- and multi order graphical models. The package is specifically tailored to analyze temporal networks as well as sequential data that capture multiple short, independent paths observed in an underlying graph topology. Examples for data that can be analysed with `pathpy` include time-stamped social networks, user click streams in information networks, biological pathways, or traces of information propagating in social media. 
+pathpy is an OpenSource python package for the analysis of time series data on networks using higher- and multi order graphical models. The package is tailored to analyse temporal networks as well as sequential data that capture multiple short, independent paths observed in an underlying graph topology. Examples for data that can be analysed with pathpy include time-stamped social networks, user click streams in information networks, biological pathways, or traces of information propagating in social networks.
diff --git a/setup.py b/setup.py
@@ -29,7 +29,7 @@
         'Programming Language :: Python :: 3.6',
     ],
     description="An OpenSource python package for the analysis and visualisation of time series data on"
-                "complex networks with higher- and multi-order graphical models.",
+                " complex networks with higher- and multi-order graphical models.",
     install_requires=install_requirements,
     setup_requires=setup_requirements,
     long_description=readme + '\n\n' + history,

Original file line number	Diff line number	Diff line change
`@@ -1 +1 @@`
`1`		-pathpy is an OpenSource python package for the analysis of time series data on networks using higher- and multi order graphical models. The package is specifically tailored to analyze temporal networks as well as sequential data that capture multiple short, independent paths observed in an underlying graph topology. Examples for data that can be analysed with `pathpy` include time-stamped social networks, user click streams in information networks, biological pathways, or traces of information propagating in social media.
	`1`	+pathpy is an OpenSource python package for the analysis of time series data on networks using higher- and multi order graphical models. The package is tailored to analyse temporal networks as well as sequential data that capture multiple short, independent paths observed in an underlying graph topology. Examples for data that can be analysed with pathpy include time-stamped social networks, user click streams in information networks, biological pathways, or traces of information propagating in social networks.