pythonbeginner
Pandas Rank with Tie-Breaking Methods
Apply different ranking strategies (min, dense, average) and handle ties in pandas.
pythonPress ⌘/Ctrl + Shift + C to copy
import pandas as pd
df = pd.DataFrame({'name':['Alice','Bob','Carol','Dave','Eve'],'score':[90,85,90,75,85]})
for method in ['average','min','max','dense','first']:
df[f'rank_{method}'] = df['score'].rank(method=method, ascending=False)
print(df)Use Cases
- leaderboards
- percentile ranking
- competition scoring
Tags
Related Snippets
Similar patterns you can reuse in the same workflow.
pythonintermediate
Statistical Analysis with SciPy
Run hypothesis tests, correlations, and descriptive statistics on dataset columns with SciPy.
Best for: A/B testing
#scipy#statistics
pythonintermediate
OLS Regression with statsmodels
Fit and interpret an Ordinary Least Squares regression model with diagnostics using statsmodels.
Best for: econometric analysis
#statsmodels#regression
pythonbeginner
Pandas Cross-Tabulation (crosstab)
Compute frequency and proportion cross-tabulations between two categorical columns.
Best for: categorical analysis
#pandas#crosstab
pythonintermediate
Pareto / Cumulative Share Analysis
Calculate cumulative share (Pareto 80/20) of values for product or customer ranking analysis.
Best for: product analytics
#pandas#pareto