how to do such calculation task in pandas?

by

try this:

In [17]: df.val.cumprod()
Out[17]:
a      1
b      2
c      6
d     24
e    120
Name: val, dtype: int64

More Related Contents:

  1. NumPy or Pandas: Keeping array type as integer while having a NaN value
  2. Performant cartesian product (CROSS JOIN) with pandas
  3. Get rows based on distinct values from one column
  4. Find column whose name contains a specific string
  5. Creating a new column based on if-elif-else condition
  6. Pandas DataFrame to List of Dictionaries
  7. Pandas index column title or name
  8. Making heatmap from pandas DataFrame
  9. How to merge two dataframes side-by-side?
  10. Prepend a level to a pandas MultiIndex
  11. Vectorizing Haversine distance calculation in Python
  12. Make Pandas groupby act similarly to itertools groupby
  13. Python pandas – filter rows after groupby
  14. Pandas left outer join multiple dataframes on multiple columns
  15. pandas dataframe, copy by value
  16. Constructing 3D Pandas DataFrame
  17. Use Multiple Character Delimiter in Python Pandas read_csv
  18. Updating value in iterrow for pandas
  19. Pandas reset index on series to remove multiindex
  20. Convert dataframe index to datetime
  21. Boolean Series key will be reindexed to match DataFrame index
  22. how to merge two data frames based on particular column in pandas python?
  23. Get first row of dataframe in Python Pandas based on criteria
  24. How to specify the type of pandas series elements in type hints?
  25. countplot with normalized y axis per group
  26. How to use str.contains() with multiple expressions in pandas dataframes
  27. double quoted elements in csv cant read with pandas
  28. Pandas: Knowing when an operation affects the original dataframe
  29. Pandas Secondary Axis
  30. how to understand closed and label arguments in pandas resample method?

Leave a Comment