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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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