MLB Data Tools
DataFrames, type-safety, and plotting for modern baseball analytics.
Philosophy & Goals
- Expose useful endpoints and datasets (Savant Player Pages, OAA data by play, pitch by pitch statcast)
- Defined data schema/types
- Easily convert to DataFrames
Example Usage
from mlbdatafetch import mlbfetch
all_players = mlbfetch.players(sport_id=1, season=2024)
player = all_players[0]
print(player.full_name, player.primary_position_code)
players_df = all_players.to_df()
players_df.head(1)
Andrew Abbot P
| id | full_name | first_name | last_name | primary_number | ... | |
|---|---|---|---|---|---|---|
| 0 | 671096 | Andrew Abbot | Andrew | Abbot | 41 | ... |
1 maintainer
Metadata
1 maintainer
Release files for mlbdatatools 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlbdatatools-0.1.4.tar.gz | 13.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlbdatatools-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.3 kB
Release files / mlbdatatools-0.1.4.tar.gz
| Download URL | mlbdatatools-0.1.4.tar.gz |
|---|---|
| Size | 13.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
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Release files / mlbdatatools-0.1.4-py3-none-any.whl
| Download URL | mlbdatatools-0.1.4-py3-none-any.whl |
|---|---|
| Size | 14.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.11.10
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