Skip to main content

View Polars LazyFrames and DataFrames in the terminal with datui

Project description

Datui

Explore Polars DataFrames in the terminal.

To learn more, see the full documentation.

Installation

Install Datui with pip:

pip install datui

Usage

View a LazyFrame or DataFrame

import polars as pl
import datui

# From a LazyFrame (e.g. scan)
lf = pl.scan_csv("data.csv")
datui.view(lf)

Press q to exit Datui and return to Python.

Run at the Command Line

Run the datui command line application:

datui /path/to/data.parquet

For help:

datui --help

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datui-0.2.24-cp38-abi3-manylinux_2_39_x86_64.whl (52.6 MB view details)

Uploaded CPython 3.8+manylinux: glibc 2.39+ x86-64

File details

Details for the file datui-0.2.24-cp38-abi3-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for datui-0.2.24-cp38-abi3-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 2e91dcdbf4ff515807dfd2c64e3c455b6fdd96a4599de284e8d1a2347b43a138
MD5 1a57da0a2b38bbd61ebdbc1b30a2bb63
BLAKE2b-256 b967b51a8e69887c96773982f6bb0de7193f5b8cdc75b3f06dc97d205ac2a3ee

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page