joseberlines
/ cytopyndas10.py
Last active
February 21, 2021 23:42
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| stations_df.drop('shape', axis =1, inplace = True) | |
| stations_df['width'] = stations_df['score'] * 40 + 40 | |
| stations_df['height'] = stations_df['score'] * 40 + 40 | |
| stations_df | |
| G=transform_into_ipycytoscape(stations_df,rails_df) | |
| display(G) |
joseberlines
/ cytopandas9.py
Created
February 21, 2021 23:13
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| stations_df['score'] = stations_df['passengers'].apply(lambda x: (x-stations_df['passengers'].min())/(stations_df['passengers'].max()-stations_df['passengers'].min())) | |
| stations_df |
joseberlines
/ cytopandas8.py
Last active
February 21, 2021 23:10
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| stations_df['shape'] = stations_df['passengers'].apply(lambda x: 'rectangle' if x>=350000 else '') | |
| stations_df | |
| G=transform_into_ipycytoscape(stations_df,rails_df) | |
| display(G) |
joseberlines
/ cytopandas7.py
Created
February 21, 2021 23:06
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| stations_high_speed_arriving = rails_df['high-speed'].to_list() | |
| list_of_HS_stations =list(set([item for sublist in stations_high_speed_arriving for item in sublist])) | |
| stations_df['background-color'] = stations_df['id'].apply(lambda x: 'violet' if x in list_of_HS_stations else 'yellow') | |
| G=transform_into_ipycytoscape(stations_df,rails_df) | |
| display(G) |
joseberlines
/ cytopandas6.py
Created
February 21, 2021 23:04
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| rails_df['high-speed'] = rails_df.apply(lambda x: [x.target,x.source] if x.speed in ['400km/h'] else [], axis=1) | |
| rails_df |
joseberlines
/ cytopandas5.py
Created
February 21, 2021 22:58
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| G=transform_into_ipycytoscape(stations_df,rails_df) | |
| display(G) |
joseberlines
/ cytopandas4.py
Last active
February 21, 2021 23:33
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| stations_df['background-color'] = stations_df['passengers'].apply(lambda x: 'red' if x>200000 else 'blue') | |
| rails_df['line-color'] = rails_df['label'].apply(lambda x: 'red' if x in ['400km/h','300km/h'] else 'green') | |
| stations_df |
joseberlines
/ cytopandas3.py
Created
February 21, 2021 22:54
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| def transform_into_ipycytoscape(nodes_df,edges_df): | |
| nodes_dict = nodes_df.to_dict('records') | |
| edges_dict = edges_df.to_dict('records') | |
| # building nodes | |
| data_keys = ['id','label','classes'] | |
| position_keys = ['position_x','position_y'] | |
| rest_keys = ['score','idInt','name','score','group','removed','selected','selectable','locked','grabbed' |
joseberlines
/ cytopandas2.py
Last active
February 21, 2021 22:47
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| stations_df.loc[stations_df['country'] != 'Germany','classes'] = 'EU' | |
| stations_df['background-color']='' | |
| stations_df.loc[stations_df['country'] == 'Germany','background-color'] = 'blue' | |
| stations_df.loc[stations_df['country'] != 'Germany','background-color'] = 'orange' | |
| stations_df.loc[stations_df['id'] == 'BER','background-color'] = 'yellow' | |
| stations_df |
joseberlines
/ cytopandas1.py
Created
February 21, 2021 22:40
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| import ipycytoscape | |
| import json | |
| import ipywidgets | |
| import pandas as pd | |
| stations = [{'id': 'BER','country': 'Germany','classes': 'east','label': 'BER Hbf','passengers': 400000}, | |
| {'id': 'MUN','country': 'Germany','classes': 'west','label': 'MUN Hbf','passengers': 200000}, | |
| {'id': 'FRA','country': 'Germany','classes': 'west','label': 'HBf FRA','passengers': 200000}, | |
| {'id': 'HAM','country': 'Germany', 'classes': 'west','label': 'HBf HAM','passengers': 150000}, | |
| {'id': 'LEP','country': 'Germany','label': 'HBf LEP','classes': 'east','passengers': 50000}, |