Help me profiling my clusters for value_counts(). I have done it for mode using this code:...

  

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Help me profiling my clusters for value_counts(). I have done it for mode using this code: from sys import modules import statistics from scipy import stats # Add cluster labels dataInputRank ["column"] = kmeans. labels_ # Calculate median for each cluster modes = dataInputRank.groupby('column").agg (statistics.mode) # Visualize the modes modes = modes. T modes.insert(loc=0, column='metric', value="mode") modes ["Overall Dataset"] = dataInputRank.apply(lambda x: x.mode()[0]) modes.head (20) Help me profiling my clusters for value_counts(). I have done it for mode using this code: from sys import modules import statistics from scipy import stats # Add cluster labels dataInputRank ["column"] = kmeans. labels_ # Calculate median for each cluster modes = dataInputRank.groupby('column").agg (statistics.mode) # Visualize the modes modes = modes. T modes.insert(loc=0, column='metric', value="mode") modes ["Overall Dataset"] = dataInputRank.apply(lambda x: x.mode()[0]) modes.head (20)

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To profile your clusters using valuecounts you can modify your code as follows import pandas as pd i... View the full answer