large graph visualization with python and networkx
from matplotlib import pylab import networkx as nx def save_graph(graph,file_name): #initialze Figure plt.figure(num=None, figsize=(20, 20), dpi=80) plt.axis('off') fig = plt.figure(1) pos = nx.spring_layout(graph) nx.draw_networkx_nodes(graph,pos) nx.draw_networkx_edges(graph,pos) nx.draw_networkx_labels(graph,pos) cut = 1.00 xmax = cut * max(xx for xx, yy in pos.values()) ymax = cut * max(yy for xx, yy in pos.values()) plt.xlim(0, xmax) plt.ylim(0, ymax) plt.savefig(file_name,bbox_inches="tight") pylab.close() del fig#Assuming that the graph g has nodes and edges enteredsave_graph(g,"my_graph.pdf")#it can also be saved in .svg, .png. or .ps formatsThis answers your first issue. Networkx does not have the facility to zoom into nodes. Use Gephi for this functionality. Gephi accepts an edge list in CSV format and produces a visualization, where zooming can be done interactively.