Roadmap #

This page provides an overview of the major themes in pandas' development. Each of these items requires a relatively large amount of effort to implement. These may be achieved more quickly with dedicated funding or interest from contributors.

An item being on the roadmap does not mean that it will necessarily happen, even with unlimited funding. During the implementation period we may discover issues preventing the adoption of the feature.

Additionally, an item not being on the roadmap does not exclude it from inclusion in pandas. The roadmap is intended for larger, fundamental changes to the project that are likely to take months or years of developer time. Smaller-scoped items will continue to be tracked on our issue tracker.

The roadmap is defined as a set of major enhancement proposals named PDEPs. For more information about PDEPs, and how to submit one, please refer to PEDP-1.

PDEPs #

Under discussion

• PDEP-16: Consistent missing value handling
• PDEP-18: Nullable Object Dtype

Accepted

• PDEP-1: Purpose and guidelines
• PDEP-8: In-place methods in pandas
• PDEP-10: PyArrow as a required dependency for default string inference implementation
• PDEP-14: Dedicated string data type for pandas 3.0
• PDEP-17: Backwards compatibility and deprecation policy

Implemented

• PDEP-4: Consistent datetime parsing
• PDEP-6: Ban upcasting in setitem-like operations
• PDEP-7: Consistent copy/view semantics in pandas with Copy-on-Write

Rejected

• PDEP-9: Allow third-party projects to register pandas connectors with a standard API
• PDEP-12: Compact and reversible JSON interface