Slicers as input for Python script

[jmarcrum]

Hi everyone -

I have a python network script visual in Power BI.

I am looking to apply a slicer (instead of hard-coding the teams - tm1 and tm2 ) in the python script below.

How can be this be done?

Thank you in advance!

# The following code to create a dataframe and remove duplicated rows is always executed and acts as a preamble for your script: 

# dataset = pandas.DataFrame(TmName, OppName)
# dataset = dataset.drop_duplicates()

# Paste or type your script code here:
import networkx
import matplotlib.pyplot as plt

tm1 = 'Villanova'
tm2 = 'Cal Poly SLO'

# load edges file from csv
left = list(dataset.TmName)
right = list(dataset.OppName)
graph = networkx.Graph()
graph.add_edges_from(list(zip(left, right)))

# Test single path
shortest_path = networkx.shortest_path(graph, tm1, tm2)
#
edges_2team = dataset[dataset.TmName.isin(shortest_path)]
left_2team= list(edges_2team['TmName'])
right_2team = list(edges_2team['OppName'])
graph_2team = networkx.Graph()
graph_2team.add_edges_from(list(zip(left_2team, right_2team)))
networkx.draw(graph_2team, with_labels=True)
plt.show()

[Greg_Deckler]

I could be mistaken but I am pretty sure that python visuals interact with other visuals so a slicer should pre-filter the dataframe coming into the python visual...

[jmarcrum]

@Greg_Deckler @TomMartens 

I guess i don't really want to filter the dataframe coming in.  I really want to pass in a parameter... like allow the user to select a team 1 and a team 2 that I can then pass in to the python script and use in place of the tm1 and tm2 hard-coded values.

Does that make sense?  How would I do that?

[TomMartens]

Hey @jmarcrum ,

you can add the column that "feeds" the slicer to the python script values.

Another option is to create a measure using DAX if the column originates from an unrelated  table. You can use SELECTEDVALUE('<tablename>'[columname] , <defaultvalue>), see here: https://dax.guide/selectedvalue/

Hopefully, this provides some ideas to tackle your challenge.

Regards,

Tom

Stay safe, stay healthy

[jmarcrum]

@TomMartens 

Hi Tom -

I went the second route, using DAX on the disconnected table, but I'm getting an error.  Do you know what might be wrong?

You can see the edited code as well as the error in the middle.  It think my imported measures aren't objects?

My pbix file is here:

https://www.dropbox.com/s/1qm5b3l73c01tbr/To_Publish4.pbix?dl=0

[TomMartens]

Hey @jmarcrum ,

please provide a pbix that creates a working network graph, without trying to incorporate the unrelated table or SELECTEDVALUE solutions that I mentioned.

Regards,
Tom

[TomMartens]

Hey @jmarcrum ,

I couldn't resist 🙂

this code

# Paste or type your script code here:
import networkx
import matplotlib.pyplot as plt

tm1_l = list(dataset.Selection1)
tm1 = tm1_l[1]
tm2_l = list(dataset.Selection2)
tm2 = tm2_l[1]

# load edges file from csv
left = list(dataset.TmName)
right = list(dataset.OppName)
graph = networkx.Graph()
graph.add_edges_from(list(zip(left, right)))

# Test single path
# shortest_path = networkx.shortest_path(graph, tm1, tm2)
#
#edges_2team = dataset[dataset.TmName.isin(shortest_path)]
#left_2team= list(edges_2team['TmName'])
#right_2team = list(edges_2team['OppName'])
#graph_2team = networkx.Graph()
#graph_2team.add_edges_from(list(zip(left_2team, right_2team)))
plt.title(tm1 + " " + tm2)
networkx.draw(graph, with_labels=False)
plt.show()

Creates this chart (the green rectangles are added using snagit 🙂

As you can see the measures are working to select something.

Please be aware that my code above is transforming the dataframe columns to a list, to select the 1st value to create the title.

I'm using plt.title as .draw() turns off the axis, where .draw_newtworkx() is not doing this. 

Hopefully, this provides some ideas about what is causing the issues

Regards,

Tom

[TomMartens · Accepted solution]

Hey @jmarcrum ,

this code is maybe doing what you are looking for:

# The following code to create a dataframe and remove duplicated rows is always executed and acts as a preamble for your script: 

# dataset = pandas.DataFrame(TmName, OppName, Selection1, Selection2)
# dataset = dataset.drop_duplicates()

# Paste or type your script code here:
import networkx
import matplotlib.pyplot as plt

tm1_l = list(dataset.Selection1)
tm1 = tm1_l[1]
tm2_l = list(dataset.Selection2)
tm2 = tm2_l[1]

# load edges file from csv
left = list(dataset.TmName)
right = list(dataset.OppName)
graph = networkx.Graph()
graph.add_edges_from(list(zip(left, right)))

# Test single path
shortest_path = networkx.shortest_path(graph, tm1, tm2)

edges_2team = dataset[dataset.TmName.isin(shortest_path)]
left_2team= list(edges_2team['TmName'])
right_2team = list(edges_2team['OppName'])
graph_2team = networkx.Graph()
graph_2team.add_edges_from(list(zip(left_2team, right_2team)))
plt.title(tm1 + " " + tm2)
networkx.draw(graph_2team, with_labels=True)
plt.show()

as it allows to create this chart:

Be aware of this line:

networkx.draw(graph_2team, with_labels=True)

Hopefully, this is what you are looking for.

Regards,

Tom

[Rohan231]

Hey, what are Selection1 and Selection2? Are they column names or something else?