Table Of Contents
- What’s New
- Installation
- Contributing to pandas
- Frequently Asked Questions (FAQ)
- Package overview
- 10 Minutes to pandas
- Tutorials
- Cookbook
- Intro to Data Structures
- Essential Basic Functionality
- Working with Text Data
- Options and Settings
- Indexing and Selecting Data
- MultiIndex / Advanced Indexing
- Computational tools
- Working with missing data
- Group By: split-apply-combine
- Merge, join, and concatenate
- Reshaping and Pivot Tables
- Time Series / Date functionality
- Time Deltas
- Categorical Data
- Visualization
- Style
- IO Tools (Text, CSV, HDF5, ...)
- Remote Data Access
- Enhancing Performance
- Sparse data structures
- Caveats and Gotchas
- rpy2 / R interface
- pandas Ecosystem
- Comparison with R / R libraries
- Comparison with SQL
- Comparison with SAS
- API Reference
- Input/Output
- General functions
- Series
- DataFrame
- Constructor
- Attributes and underlying data
- Conversion
- Indexing, iteration
- Binary operator functions
- Function application, GroupBy & Window
- Computations / Descriptive Stats
- pandas.DataFrame.abs
- pandas.DataFrame.all
- pandas.DataFrame.any
- pandas.DataFrame.clip
- pandas.DataFrame.clip_lower
- pandas.DataFrame.clip_upper
- pandas.DataFrame.corr
- pandas.DataFrame.corrwith
- pandas.DataFrame.count
- pandas.DataFrame.cov
- pandas.DataFrame.cummax
- pandas.DataFrame.cummin
- pandas.DataFrame.cumprod
- pandas.DataFrame.cumsum
- pandas.DataFrame.describe
- pandas.DataFrame.diff
- pandas.DataFrame.eval
- pandas.DataFrame.kurt
- pandas.DataFrame.mad
- pandas.DataFrame.max
- pandas.DataFrame.mean
- pandas.DataFrame.median
- pandas.DataFrame.min
- pandas.DataFrame.mode
- pandas.DataFrame.pct_change
- pandas.DataFrame.prod
- pandas.DataFrame.quantile
- pandas.DataFrame.rank
- pandas.DataFrame.round
- pandas.DataFrame.sem
- pandas.DataFrame.skew
- pandas.DataFrame.sum
- pandas.DataFrame.std
- pandas.DataFrame.var
- Reindexing / Selection / Label manipulation
- Missing data handling
- Reshaping, sorting, transposing
- Combining / joining / merging
- Time series-related
- Plotting
- Serialization / IO / Conversion
- Panel
- Panel4D
- Index
- CategoricalIndex
- MultiIndex
- DatetimeIndex
- TimedeltaIndex
- Window
- GroupBy
- Resampling
- Style
- General utility functions
- Internals
- Release Notes
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pandas.DataFrame.cumprod¶
- DataFrame.cumprod(axis=None, dtype=None, out=None, skipna=True, **kwargs)¶
Return cumulative prod over requested axis.
Parameters: axis : {index (0), columns (1)}
skipna : boolean, default True
Exclude NA/null values. If an entire row/column is NA, the result will be NA
Returns: prod : Series