Pandas TA Reloaded
pta_reload now supports pandas 2.x and numpy 2.x.
Installation
pip install pta_reload
Quick Start
from pta_reload import ta
import pandas as pd
# Load your data
df = pd.read_csv("your_data.csv")
# Calculate SMA
df["SMA_10"] = ta.sma(df["Close"], length=10)
For more information, see the Documentation and Publishing Guide.
Metadata
Release files for pta-reload 1.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pta_reload-1.0.5.tar.gz | 63.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pta_reload-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 176.8 kB
Release files / pta_reload-1.0.5.tar.gz
| Download URL | pta_reload-1.0.5.tar.gz |
|---|---|
| Size | 63.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
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Release files / pta_reload-1.0.5-py3-none-any.whl
| Download URL | pta_reload-1.0.5-py3-none-any.whl |
|---|---|
| Size | 113.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.0
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