DataComPy
DataComPy is a package to compare two DataFrames (or tables) such as Pandas, Spark, Polars, and
even Snowflake. Originally it was created to be something of a replacement
for SAS's PROC COMPARE for Pandas DataFrames with some more functionality than
just Pandas.DataFrame.equals(Pandas.DataFrame) (in that it prints out some stats,
and lets you tweak how accurate matches have to be). Supported types include:
- Pandas
- Polars
- Spark
- Snowflake (via snowpark)
- Dask (via Fugue)
- DuckDB (via Fugue)
Quick Installation
pip install datacompy
or
conda install datacompy
Installing extras
If you would like to use Spark or any other backends please make sure you install via extras:
pip install datacompy[spark]
pip install datacompy[fugue]
pip install datacompy[snowflake]
LegacySparkCompare and SparkPandasCompare removal
Starting with v0.17.0, both LegacySparkCompare and SparkPandasCompare have been removed.
Supported versions and dependencies
Different versions of Spark, Pandas, and Python interact differently. Below is a matrix of what we test with. With the move to Pandas on Spark API and compatability issues with Pandas 2+ we will for the mean time note support Pandas 2 with the Pandas on Spark implementation. Spark plans to support Pandas 2 in Spark 4
| Spark 3.4.4 | Spark 3.5.6 | |
|---|---|---|
| Python 3.10 | ✅ | ✅ |
| Python 3.11 | ✅ | ✅ |
| Python 3.12 | ❌ | ❌ |
| Pandas < 1.5.3 | Pandas >=2.0.0 | |
|---|---|---|
Compare |
✅ | ✅ |
SparkSQLCompare |
✅ | ✅ |
| Fugue | ✅ | ✅ |
[!NOTE] At the current time Python
3.12is not supported by Spark and also Ray within Fugue. If you are using Python3.12and above, please note that not all functioanlity will be supported. Pandas and Polars support should work fine and are tested.
Supported backends
- Pandas: (See documentation)
- Spark: (See documentation)
- Polars: (See documentation)
- Snowflake/Snowpark: (See documentation)
- Fugue is a Python library that provides a unified interface for data processing on Pandas, DuckDB, Polars, Arrow, Spark, Dask, Ray, and many other backends. DataComPy integrates with Fugue to provide a simple way to compare data across these backends. Please note that Fugue will use the Pandas (Native) logic at its lowest level (See documentation)
Contributors
We welcome and appreciate your contributions! Before we can accept any contributions, we ask that you please be sure to sign the Contributor License Agreement (CLA).
This project adheres to the Open Source Code of Conduct. By participating, you are expected to honor this code.
Roadmap
Roadmap details can be found here
1 maintainer
Metadata
1 maintainer
Release files for datacompy 0.18.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datacompy-0.18.0.tar.gz | 92.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datacompy-0.18.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 158.2 kB
Release files / datacompy-0.18.0.tar.gz
| Download URL | datacompy-0.18.0.tar.gz |
|---|---|
| Size | 92.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
22a13709aa9702760ca5cf6c200aa6fd44a1361224b6eba250ced1a51de71af7
|
|
BLAKE2b-256 checksum How to use checksums |
e9b8c9df54f69723a3958573f60cff79e0e097442435d665c9b43a634a3e5072
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.18
|
Release files / datacompy-0.18.0-py3-none-any.whl
| Download URL | datacompy-0.18.0-py3-none-any.whl |
|---|---|
| Size | 66.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
39bb5b55ab28d2bac2d379583d049b87d784c54f131db004c7315139cf38b296
|
|
BLAKE2b-256 checksum How to use checksums |
e83fcbe2436a553847d10ac7058372002b1dfb534370e54505add51041a4122c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.18
|
