update package version and requirements

README.md

 # kirchhoff
 
 ##  Introduction
-This module 'kirchhoff' is part of a series of pyton packages encompassing a set of class and method implementations for a kirchhoff network datatype, which includes a visualization routine based on plotly. The concept is to build kirchhoff networks from networkx graphs, by providing a container for the graphs as well as separate containers for network attributes meant for fast(er) computation in the follow-up modules 'hailhydro' and 'goflow' 
+This module 'kirchhoff' is part of a series of pyton packages encompassing a set of class and method implementations for a kirchhoff network datatype, which includes a visualization routine based on plotly. The concept is to build kirchhoff networks from networkx graphs, by providing a container for the graphs as well as separate containers for network attributes meant for fast(er) computation in the follow-up modules 'hailhydro' and 'goflow'
 ##  Installation
 pip install kirchhoff
 
 ##  Usage
-Generally, just take a weighted networkx graph and read it in as shown. You can plot the network interactivly, with full display of edge and node attributes if desired. Default attributes are 'source'/'potential' for nodes and 'conductivity'/'flow_rate' for edges. 
+Generally, just take a weighted networkx graph and read it in as shown. You can plot the network interactivly, with full display of edge and node attributes if desired. Default attributes are 'source'/'potential' for nodes and 'conductivity'/'flow_rate' for edges.
 
 ```
 import kirchhoff.circuit_init as ki
@@ -23,7 +23,7 @@ Single and dual networks are supported at the moment, and can be constructed fro
 - crystals/periodic, initialize_circuit_from_crystal(crystal_type='default',periods=1): 'default': simple cubic lattice 3D, 'chain': 1D chain, 'bcc': bcc lattice 3D,  'fcc': fcc lattice 3D,'diamond': diamond lattice 3D,'laves': laves lattice 3D,'trigonal_stack': trigonal lattice stacked and interconnected 3D, 'square': simple cubic lattice 2D, 'hexagonal': hexagonal lattice 2D,'trigonal_planar': trigonal lattice 2D
 -  random voronoi tesselation, initialize_circuit_from_random(random_type='default',periods=10,sidelength=1):  'default': planar voronoi tesselation with periodic boundaries,  'voronoi_volume': 3D voronoi tesselation with periodic boundaries
 -   intertwined systems, initialize_dual_circuit_from_minsurf(dual_type='simple',num_periods=2): supporting most of the above in 3D
-      
+
 Further one can define 'flow' and 'flux' circuits for hydrodynamic simulations which are based on Hagen-Poiseuille flow and transport of solutes via advection-diffusion. Doing so will enable more specifically tailored methods for source/solute influx topology control:
 ```
 import kirchhoff.circuit_flow as kfc
@@ -51,7 +51,13 @@ fig.show()
 ![hex](./gallery/hexagonal.png)
 ./notebook contains examples to play with in the form of jupyter notebooks
 ##  Requirements
-``` pandas ```,``` networkx ```, ``` numpy ```,```plotly```
+```
+networkx==2.5
+numpy==1.19.1
+pandas==1.1.1
+plotly==5.3.1
+scipy==1.5.2
+```
 ## Gallery
 ![simple](./gallery/simplecubic3d.png)
 ![dual](./gallery/duallaves.png)

kirchhoff/requirements.txt

+networkx==2.5
+numpy==1.19.1
+pandas==1.1.1
+plotly==5.3.1
+scipy==1.5.2

setup.py

@@ -5,15 +5,15 @@
 # @Last modified by:    Felix Kramer
 # @Last modified time: 2021-09-05T00:06:04+02:00
 # @License: MIT
-
 import setuptools
 
+
 with open("README.md", "r", encoding="utf-8") as fh:
     long_description = fh.read()
 
 setuptools.setup(
     name="kirchhoff",
-    version="0.2.0",
+    version="0.2.1",
     author="felixk1990",
     author_email="felixuwekramer@protonmail.com",
     description="Collection of routines for creation and manipulation of Kirchhoff circuits based on resistor-only networks, together with 2D/3D spatial embeddings. ",