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Wrapper Function to create Sankey Diagram from DataFrame
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| def genSankey(df,cat_cols=[],value_cols='',title='Sankey Diagram'): | |
| # maximum of 6 value cols -> 6 colors | |
| colorPalette = ['#4B8BBE','#306998','#FFE873','#FFD43B','#646464'] | |
| labelList = [] | |
| colorNumList = [] | |
| for catCol in cat_cols: | |
| labelListTemp = list(set(df[catCol].values)) | |
| colorNumList.append(len(labelListTemp)) | |
| labelList = labelList + labelListTemp | |
| # remove duplicates from labelList | |
| labelList = list(dict.fromkeys(labelList)) | |
| # define colors based on number of levels | |
| colorList = [] | |
| for idx, colorNum in enumerate(colorNumList): | |
| colorList = colorList + [colorPalette[idx]]*colorNum | |
| # transform df into a source-target pair | |
| for i in range(len(cat_cols)-1): | |
| if i==0: | |
| sourceTargetDf = df[[cat_cols[i],cat_cols[i+1],value_cols]] | |
| sourceTargetDf.columns = ['source','target','count'] | |
| else: | |
| tempDf = df[[cat_cols[i],cat_cols[i+1],value_cols]] | |
| tempDf.columns = ['source','target','count'] | |
| sourceTargetDf = pd.concat([sourceTargetDf,tempDf]) | |
| sourceTargetDf = sourceTargetDf.groupby(['source','target']).agg({'count':'sum'}).reset_index() | |
| # add index for source-target pair | |
| sourceTargetDf['sourceID'] = sourceTargetDf['source'].apply(lambda x: labelList.index(x)) | |
| sourceTargetDf['targetID'] = sourceTargetDf['target'].apply(lambda x: labelList.index(x)) | |
| # creating the sankey diagram | |
| data = dict( | |
| type='sankey', | |
| node = dict( | |
| pad = 15, | |
| thickness = 20, | |
| line = dict( | |
| color = "black", | |
| width = 0.5 | |
| ), | |
| label = labelList, | |
| color = colorList | |
| ), | |
| link = dict( | |
| source = sourceTargetDf['sourceID'], | |
| target = sourceTargetDf['targetID'], | |
| value = sourceTargetDf['count'] | |
| ) | |
| ) | |
| layout = dict( | |
| title = title, | |
| font = dict( | |
| size = 10 | |
| ) | |
| ) | |
| fig = dict(data=[data], layout=layout) | |
| return fig |
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