Enter the data To begin, fill the Excel document with the data that you want to present. G = nx.from_pandas_edgelist(c, 'ID', 'Link_to', create_using=nx.DiGraph)įinal results is about: nx. Here are the necessary steps for creating a line graph: 1. The results looks like: ID Link_to Date ID_r Link_to_r Date_r keepĪnd building the Directed Graph is as simple as: c = c.loc, :] We can merge the dataframe against itself to inspect which combination should be kept: c = df.merge(df, how='left', left_on=, right_on=, suffixes=('', '_r'))Ĭ = c.fillna(c)Īssuming you want to keep the earliest relation (eg.: Chris -> Mirk instead of Mirk -> Chris) then the criterion is about: c = c =. We have the following dataset: ID Link_to Date
Create a graph how to#
How can I figure out how to add Date information in my graph?įrom the data you provided (I added an extra line Sarah -> Julie with same Date): s = """index ID Link_to Label Date Sizeĭf = pd.read_csv(io.StringIO(re.sub("+", ",", s)), parse_dates=)ĭf = df.dropna().drop(, axis=1) If two IDs are linked to each other and they have the same date, they should have one arrows (bidirectional). However, since Chris has an earliest date compared to ID's than connect Mirk to Chris. So for example: Julie and Mirk are linked together: a directed link from Julie to Mirk should be added.Īnother example: Chris and Mirk are connected to each other. I would like to add date information in the graph, in order to create a directed graph: the ID who has the earliest date is the source. To create an undirected graph with my data above, I did: G = nx.from_pandas_edgelist(df, 'ID', 'Link_to')ĭ = dict(df.drop_duplicates(subset=)] Supports internal caching (with timeout) of generated graphs to lessen burden of a HTTP server.I am trying to create a directed graph upon this dataset: ID Link_to Label Date Size.Extensive documentation with both a > 750 pages tutorial and an extensive class reference. If instead, we want to add an arrow for a directed edge, we can give the parameter -> to the draw command: draw -> (1) - (2) 3.3.Support various layout with a background image behind the plot.Flexible scales, supports integer, linear, logarithmic, text (counting) scales and any combinatino thereof on x/y axis.Supports several plot types,spider-plots, pie-charts (both 2d and 3d), scatter-plots, line-plots, filled line-plots, accumulated line-plots, bar plots, accumulated bar plots, grouped bar plots, error plots, line error plots, box plots, stock plots.Advanced interpolation with cubic splines to get smooth curves from just a few data points.Automatic generation of client side image maps to make it possible to generate drill-down graphs.Web-friendly, average image size for a 300*200 image is around 2K and images are seldomly bigger than 4-5K.Further information about the features by following the links below. Customize details like line colors and label fonts.
Click Data on the toolbar to enter or copy and paste your custom labels and values. Select Charts under the elements tab or search for Charts in the search tab. The following is a shortlist of available features within the library. Create a new Canva account to get started with your own line graph design.