how many countries have organised more than one edition of olympic games? using python pandas [closed]

by

You can try one of the 2 alternatives below.

df.groupby('country')['edition'].nunique().gt(1).sum()

or

(df.groupby('country')['edition'].nunique()>(1)).sum()

More Related Contents:

  1. Select rows in pandas MultiIndex DataFrame
  2. Apply vs transform on a group object
  3. Keep only date part when using pandas.to_datetime
  4. Strings in a DataFrame, but dtype is object
  5. Creating an empty Pandas DataFrame, then filling it?
  6. how do I insert a column at a specific column index in pandas?
  7. How to map numeric data into categories / bins in Pandas dataframe
  8. Modifying a subset of rows in a pandas dataframe
  9. Naming returned columns in Pandas aggregate function? [duplicate]
  10. Matplotlib DateFormatter for axis label not working
  11. How to plot multi-color line if x-axis is date time index of pandas
  12. How can I use cumsum within a group in Pandas?
  13. How to group DataFrame by a period of time?
  14. Why does df.apply(tuple) work but not df.apply(list)?
  15. Plot multiple columns of pandas DataFrame on the bar chart
  16. Python: Random selection per group
  17. Keep selected column as DataFrame instead of Series
  18. How to get unique values from multiple columns in a pandas groupby
  19. Merge a list of pandas dataframes
  20. Pandas reindex dates in Groupby
  21. How to repeat a Pandas DataFrame?
  22. Pandas ParserError EOF character when reading multiple csv files to HDF5
  23. Get column name where value is something in pandas dataframe
  24. Find index of all rows with null values in a particular column in pandas dataframe
  25. Python: How to drop a row whose particular column is empty/NaN?
  26. Discrete legend in seaborn heatmap plot
  27. Clean way to convert quarterly periods to datetime in pandas
  28. Combine Pandas data frame column values into new column
  29. Python Pandas : pandas.to_datetime() is switching day & month when day is less than 13
  30. Wide to long data transform in pandas

Leave a Comment