Getting Started
Overview
Installation
Quick start
Frequently Asked Questions
User Guide
Data Structures
Slicing
Computation
Masking
Binned Data
GroupBy
Coordinate transformations
Reading and Writing Files
How to…
Tips, tricks, and anti-patterns
Visualization
Representations and Tables
Plotting Overview
Plotting in depth
Plotting 1-D data
Plotting 2-D data
Plotting N-D data
Customizing figures
Datetime handling
Reference
Classes
Creation functions
Free functions
Modules
Linear Algebra
Data types
Physical units
Propagation of uncertainties
Runtime Configuration
Developer Documentation
Tutorials
1-D datasets and tables
Multi-dimensional datasets
About
About scipp
What’s new in scipp
Roadmap
Contributing to scipp
Release Notes
Select version:
Pick version
latest (unstable)
v0.8
v0.7
v0.6
v0.5
v0.4
v0.3
scipp
»
Plotting in depth
View page source
Plotting in depth
¶
Plotting 1-D data
Basic plot
With error bars
Multiple variables on the same axes
Plotting a Dataset with multiple entries
Overplotting using a dict of DataArrays
Customizing linestyles, markers and colors
Logarithmic scales
Histograms
Multiple 1D variables with different dimensions
Custom labels along x axis
Plotting masks
Masks on histograms
Plotting time series
Saving figures
Plotting 2-D data
Basic image plot
Changing the colorscale
Using labels along some axis
Collapsing dimensions
Image aspect ratio
Plotting masks
Saving figures
Plotting N-D data
Default representation
Slider controls
Changing axes dimensions
Profile picking
3-D scatter plots
LAMP’s Superplot
Customizing figures
Modifying the returned Plot object
Placing figures inside existing Matplotlib axes
Datetime handling
More than 100 years
Less than 100 years
Less than 4 years
Less than 6 months
Less than 4 days
Less than 4 hours
Less than 4 minutes
Less than 4 seconds
Less than 4 milliseconds
Less than 4 microseconds