Pandas on AWS.
Project description
AWS Data Wrangler
Pandas on AWS
NOTE
We just released a new major version 1.0 with breaking changes. Please make sure that all your old projects has dependencies frozen on the desired version (e.g. pip install awswrangler==0.3.2).
| Source | Downloads | Page | Installation Command |
|---|---|---|---|
| PyPi |  |
Link | pip install awswrangler |
| Conda |  |
Link | conda install -c conda-forge awswrangler |
Quick Start
Install the Wrangler with: pip install awswrangler
import awswrangler as wr
import pandas as pd
df = pd.DataFrame({"id": [1, 2], "value": ["foo", "boo"]})
# Storing data on Data Lake
wr.s3.to_parquet(
df=df,
path="s3://bucket/dataset/",
dataset=True,
database="my_db",
table="my_table"
)
# Retrieving the data directly from Amazon S3
df = wr.s3.read_parquet("s3://bucket/dataset/", dataset=True)
# Retrieving the data from Amazon Athena
df = wr.athena.read_sql_query("SELECT * FROM my_table", database="my_db")
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