tiled

Tutorials

Installation
Navigate with the Python Client
Load Slices of Data
Deliberate Export
Log into an Authenticated Tiled Server
Serve a Directory of Files
Search
Writing Data
Plot Data in Plotly Chart Studio

How To Guides

Use Profiles to streamline Python client setup
Use Performance and Debug Logging
Run Tiled Server in a Container
Serve Data using Configuration Files
Serve Files with Custom Formats
Add Custom Export Formats
Create and Use API Keys
Custom Python Client Objects
Prometheus Metrics
Use Tiled in Python without an HTTP server
Set up a database for a scaled authenticated deloyment
Register Content in Tiled

Explanations

Architecture
Standards Used by Tiled
Structures
Metadata and “Specs”
Security
Compression
Case Study: Reading and Exporting a Specialized Format
Caches
Access Control
Catalog Database
FAQ
How Tiled Fits into the Ecosystem

Reference

Service-side Components
HTTP API
Python Client
Queries
Authentication Details
Scopes
Command-line tool
Service Configuration Reference
Client Profiles Reference
Release History
Minimum Version of Python and NumPy

tiled

Python Client
tiled.client.dataframe.DataFrameClient.read
View page source

tiled.client.dataframe.DataFrameClient.read

DataFrameClient.read(columns=None)[source]: Access the entire DataFrame. Optionally select a subset of the columns.

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