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OsJkJqPwanJI3TUMvDl0AWS Expenditure Breakdown by Account ID
AWS Expenditure Breakdown by Account ID
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This task offers a concise view of AWS expenses by individual account IDs, aggregating unblended costs for each account. It highlights the spending patterns of various accounts, pinpointing those with the highest costs. Such insights are invaluable for organizations with multiple AWS accounts, aiding in efficient budget allocation and cost management by identifying potential overspends or resource underutilization.
inputs
outputs
import pandas as pd
if df is not None:
print("Analyzing and visualizing cost by AWS Account ID...")
# Filter out negative values
filter_condition = (df['lineItem/UnblendedCost'] >= 0)
filtered_df = df[filter_condition]
# Group by 'lineItem/UsageAccountId', sum 'lineItem/UnblendedCost', and sort values
account_costs = filtered_df.groupby('lineItem/UsageAccountId')['lineItem/UnblendedCost'].sum().sort_values(ascending=False)
# Extract x and y values
x = account_costs.index.astype(str).tolist() # Convert account IDs to strings and then get the list
y = account_costs.values.tolist() # This gets the corresponding costs
if len(x) == 1:
print("Only one account found. Skipping chart.")
else:
# Set the properties for your plot
context.plot.xlabel = 'AWS Account ID'
context.plot.ylabel = 'Cost ($)'
context.plot.title = 'Cost by AWS Account ID'
# Add the trace to your plot
context.plot.add_trace(name="Cost by AWS Account ID", xpts=x, ypts=y, tracetype="pie")
print("Analysis complete.")
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