Hi I can run the app in local easily But after following the heroku guide in official dash site at Link It says that server address is wrong which seems related to plot() server and port parameters How can i setup Jaal to run in heroku ? Thanks for Great repo

Hi,

Thank you for this cool visualization. I am trying to use this for my network. It works really well. I have some suggestions as follows.

1. When coloring the nodes/edges, it's hard to tell which color is what. So, it would be great to see the legend
2. In my network, some nodes have quite many neighbors which make the sub-graph moving quite fast. It may be better to keep the network more still.

Thank you!

I have a pandas dataframe of edges:

     from   to
0       1   39
1       3   41
2       5   43
3       7   45
4       9   47
...   ...  ...
1507  805  807
1508  807  809
1509  809  811
1510  811  813
1511  813  779

[1512 rows x 2 columns]

from    object
to      object
dtype: object

The server runs and I see the dashboard but the graph does not load.

I am getting this error:

Dash is running on http://127.0.0.1:8050/

 * Serving Flask app "test" (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)
127.0.0.1 - - [02/Feb/2021 13:36:54] "GET / HTTP/1.1" 200 -
127.0.0.1 - - [02/Feb/2021 13:36:55] "GET /_dash-dependencies HTTP/1.1" 200 -
127.0.0.1 - - [02/Feb/2021 13:36:55] "GET /_dash-layout HTTP/1.1" 200 -
No trigger
[2021-02-02 13:36:56,269] ERROR in app: Exception on /_dash-update-component [POST]
Traceback (most recent call last):
  File "C:\Program Files\Python_3_7_4\lib\site-packages\dash\dash.py", line 1041, in add_context
    response, cls=plotly.utils.PlotlyJSONEncoder
  File "C:\Program Files\Python_3_7_4\lib\json\__init__.py", line 238, in dumps
    **kw).encode(obj)
  File "C:\Program Files\Python_3_7_4\lib\site-packages\_plotly_utils\utils.py", line 59, in encode
    encoded_o = super(PlotlyJSONEncoder, self).encode(o)
  File "C:\Program Files\Python_3_7_4\lib\json\encoder.py", line 199, in encode
    chunks = self.iterencode(o, _one_shot=True)
  File "C:\Program Files\Python_3_7_4\lib\json\encoder.py", line 257, in iterencode
    return _iterencode(o, 0)
  File "C:\Program Files\Python_3_7_4\lib\site-packages\_plotly_utils\utils.py", line 134, in default
    return _json.JSONEncoder.default(self, obj)
  File "C:\Program Files\Python_3_7_4\lib\json\encoder.py", line 179, in default
    raise TypeError(f'Object of type {o.__class__.__name__} '
TypeError: Object of type type is not JSON serializable

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Program Files\Python_3_7_4\lib\site-packages\flask\app.py", line 2447, in wsgi_app
    response = self.full_dispatch_request()
  File "C:\Program Files\Python_3_7_4\lib\site-packages\flask\app.py", line 1952, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "C:\Program Files\Python_3_7_4\lib\site-packages\flask\app.py", line 1821, in handle_user_exception
    reraise(exc_type, exc_value, tb)
  File "C:\Program Files\Python_3_7_4\lib\site-packages\flask\_compat.py", line 39, in reraise
    raise value
  File "C:\Program Files\Python_3_7_4\lib\site-packages\flask\app.py", line 1950, in full_dispatch_request
    rv = self.dispatch_request()
  File "C:\Program Files\Python_3_7_4\lib\site-packages\flask\app.py", line 1936, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File "C:\Program Files\Python_3_7_4\lib\site-packages\dash\dash.py", line 1078, in dispatch
    response.set_data(func(*args, outputs_list=outputs_list))
  File "C:\Program Files\Python_3_7_4\lib\site-packages\dash\dash.py", line 1044, in add_context
    _validate.fail_callback_output(output_value, output)
  File "C:\Program Files\Python_3_7_4\lib\site-packages\dash\_validate.py", line 261, in fail_callback_output
    _validate_value(val, index=i)
  File "C:\Program Files\Python_3_7_4\lib\site-packages\dash\_validate.py", line 256, in _validate_value
    toplevel=True,
  File "C:\Program Files\Python_3_7_4\lib\site-packages\dash\_validate.py", line 210, in _raise_invalid
    bad_val=bad_val,
dash.exceptions.InvalidCallbackReturnValue: The callback for `<Output `graph.data`>`
returned a value having type `type`
which is not JSON serializable.


The value in question is either the only value returned,
or is in the top level of the returned list,

and has string representation
`<class 'dash.exceptions.PreventUpdate'>`

In general, Dash properties can only be
dash components, strings, dictionaries, numbers, None,
or lists of those.
127.0.0.1 - - [02/Feb/2021 13:36:56] "POST /_dash-update-component HTTP/1.1" 500 -

This is a reallly fun project, have you perhaps already developed a way to integrate this within a dash app (embed it somehow), if so a tutorial would be appreaciated, kudos for the project.

from jaal import Jaal from dash import dcc from jaal.datasets import load_got edge_df, node_df = load_got() Jaal(edge_df, node_df).plot()

ValueError Traceback (most recent call last) in 1 # init Jaal and run server ----> 2 Jaal(edge_df, node_df).plot()

~/anaconda3/envs/python3/lib/python3.6/site-packages/jaal/jaal.py in plot(self, debug, host, port, directed) 148 Input('color_nodes', 'value'), 149 Input('color_edges', 'value')], --> 150 state=State('graph', 'data') 151 ) 152 def setting_pane_callback(search_text, filter_nodes_text, filter_edges_text, color_nodes_value, color_edges_value, graph_data):

~/anaconda3/envs/python3/lib/python3.6/site-packages/dash/dash.py in callback(self, *_args, **_kwargs) 1138 self.config.prevent_initial_callbacks, 1139 *_args, -> 1140 **_kwargs, 1141 ) 1142

~/anaconda3/envs/python3/lib/python3.6/site-packages/dash/_callback.py in register_callback(callback_list, callback_map, config_prevent_initial_callbacks, *_args, **_kwargs) 114 inputs_state_indices, 115 prevent_initial_call, --> 116 ) = handle_grouped_callback_args(_args, _kwargs) 117 if isinstance(output, Output): 118 # Insert callback with scalar (non-multi) Output

~/anaconda3/envs/python3/lib/python3.6/site-packages/dash/dependencies.py in handle_grouped_callback_args(args, kwargs) 312 outputs = outputs[0] 313 --> 314 inputs_state = extract_grouped_input_state_callback_args(flat_args, kwargs) 315 flat_inputs, flat_state, input_state_indices = compute_input_state_grouping_indices( 316 inputs_state

~/anaconda3/envs/python3/lib/python3.6/site-packages/dash/dependencies.py in extract_grouped_input_state_callback_args(args, kwargs) 255 # Not valid to provide state as kwarg without input as kwarg 256 raise ValueError( --> 257 "The state keyword argument may not be provided without " 258 "the input keyword argument" 259 )

ValueError: The state keyword argument may not be provided without the input keyword argument

Trying to run this on a vanilla python 3.9 project through PyCharm.

(pip) installed jall through PyCharm interface, it loaded correctly with all listed dependencies.

Copied sample code in main.py: # import from jaal import Jaal from jaal.datasets import load_got # load the data edge_df, node_df = load_got() # init Jaal and run server Jaal(edge_df, node_df).plot()

When running, got a bunch of warning about deprecated imports from dash, plus the following error output/error: \venv\Scripts\python.exe /main.py

Parsing the data...Done
Traceback (most recent call last):
  File "C:\Users\fdion\PycharmProjects\pythonProject1\main.py", line 24, in <module>
    Jaal(edge_df, node_df).plot()
  File "C:\Users\fdion\PycharmProjects\pythonProject1\venv\lib\site-packages\jaal\jaal.py", line 343, in plot
    app = self.create(directed=directed, vis_opts=vis_opts)
  File "C:\Users\fdion\PycharmProjects\pythonProject1\venv\lib\site-packages\jaal\jaal.py", line 272, in create
    @app.callback(
  File "C:\Users\fdion\PycharmProjects\pythonProject1\venv\lib\site-packages\dash\dash.py", line 1011, in callback
    return _callback.register_callback(
  File "C:\Users\fdion\PycharmProjects\pythonProject1\venv\lib\site-packages\dash\_callback.py", line 116, in register_callback
    ) = handle_grouped_callback_args(_args, _kwargs)
  File "C:\Users\fdion\PycharmProjects\pythonProject1\venv\lib\site-packages\dash\dependencies.py", line 308, in handle_grouped_callback_args
    inputs_state = extract_grouped_input_state_callback_args(flat_args, kwargs)
  File "C:\Users\fdion\PycharmProjects\pythonProject1\venv\lib\site-packages\dash\dependencies.py", line 250, in extract_grouped_input_state_callback_args
    raise ValueError(
ValueError: The state keyword argument may not be provided without the input keyword argument

Process finished with exit code 1

I fixed the deprecated imports following the instructions in the warnings, but the "state keyword argument" issue is still there. Not sure how to proceed from here. Thanks.

Use the existing options as a default, but allow the user to update the options map for more customizability.

Tested like so:

# import
from jaal import Jaal
from jaal.datasets import load_got
# load the data
edge_df, node_df = load_got()
# init Jaal and run server
Jaal(edge_df, node_df).plot(vis_opts={'height': '1000px'})

On running the 0.1.1 version of Jaal, we get following error message,

AttributeError: FormGroup was deprecated in dash-bootstrap-components version 1.0.0. You are using 1.0.1. For more details please see the migration guide: https://dash-bootstrap-components.opensource.faculty.ai/migration-guide/

Potential solution is to put make sure to use older version in python package requirements (dash-bootstrap-components<1)

Currently one cannot set the node shape and size as well as the edge color, neither on a global nor on a local (For each node/edge) scale.

This PR moves the defined properties away from the element level and sets it as a global option, allowing the user to overwrite all node/edge configurations based on the dataframe column names.

imohitmayank/jaal now has a Chat Room on Gitter

@imohitmayank has just created a chat room. You can visit it here: https://gitter.im/imm-jaal/community.

This pull-request adds this badge to your README.md:

If my aim is a little off, please let me know.

Happy chatting.

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Using medium-sized datasets (approx 1500 edges), the time to plot the graph is exceeding 30 mins. Need to test the app on some medium-sized datasets and fix.

It would be useful for me to be able to use images (stored as .png files) as nodes - is it possible to do this by adding an attribute to the node properties? Ideally, the node shape and size would be retained but instead of a solid color fill the node would contain the image.

I am building application on flask for network visualization .I want to integrate jaal to my web app .Is there any way to achieve this .As jaal is using dash i know we can integrate dash with flask but for jaal i dont understand the way .if you can provide me any sample so i can do it

Fantastic library you have made available Mayank..

One little problem.

If you need to plot more than one edge for a pair of nodes, the graph simply is not rendered ...

CASE A: This works A---->B A---->C

CASE B: This does not work. And it does not show any error. A<----B A---->B

I have added the directed=True option...
It does work for case A.

Case B does not work at all.

Any option that I may be missing ?

Thanks in advance

The most important thing first: Great work thank you very much!

Is it possible to define a filter with the content of a column?

Description of the problem: I have an edge CSV file with three columns: from, to, group. I have no CSV for the nodes.

Different groups of edges are defined in the Group column. The idea is to use these groups as a filter selection list. Then the user could simply filter via this selection list. Just as he can select the group under "Color edges by". So actually exactly what comes as "Edge legends" list.

Improvement for "Filter on edges properties": If I enter the following Filter group=='Network internal' unfortunately all nodes not belonging to the group continue to be displayed and only the connections are removed. Here it would be desirable if these stand-alone nodes were also removed.

Hi, I'm looking for interactive visualization of (potentially infinite) "streaming data" (imagine a unix pipe) which can "come & go" any time. Currently it seems this is not easily possible with Jaal.

My question is whether you'd consider supporting this.

Thanks!