Skip to content

Commit bff93b4

Browse files
committed
Merge branch 'main' into stylesheetss
2 parents 6316ac3 + 14b2b3e commit bff93b4

File tree

3 files changed

+40
-0
lines changed

3 files changed

+40
-0
lines changed

Diff for: .github/workflows/test_and_deploy.yml

+1
Original file line numberDiff line numberDiff line change
@@ -17,6 +17,7 @@ jobs:
1717
name: ${{ matrix.platform }} py${{ matrix.python-version }}
1818
runs-on: ${{ matrix.platform }}
1919
strategy:
20+
fail-fast: false
2021
matrix:
2122
platform: [ubuntu-latest, macos-latest, windows-latest]
2223
python-version: ['3.8', '3.9', '3.10']

Diff for: docs/guide/index.rst

+1
Original file line numberDiff line numberDiff line change
@@ -4,4 +4,5 @@ Guide
44
.. toctree::
55
:maxdepth: 1
66

7+
user_guide
78
third_party

Diff for: docs/guide/user_guide.rst

+38
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,38 @@
1+
User guide
2+
==========
3+
4+
Overview
5+
--------
6+
``napari-matplotlib`` contains a number of different ``napari`` Widgets. Each
7+
widget is designed to map one or more ``napari`` Layers on to a ``matplotlib`` plot.
8+
As an example, the `~.HistogramWidget` is used to
9+
map one or more Image layers on to a 1D histogram plot.
10+
11+
The widgets split into two categories:
12+
13+
Layer plotting
14+
~~~~~~~~~~~~~~
15+
These widgets plot the data stored directly in napari layers.
16+
Currently available are widgets to plot:
17+
18+
- 1D histograms
19+
- 2D scatter plots (switching to 2D histograms for a large number of points)
20+
- 1D slice line plots
21+
22+
To use these:
23+
24+
1. Open the desired widget using the ``Plugins > napari-matplotlib`` menu in napari.
25+
2. Select the required number of layers using the napari layers list in the bottom left-hand side of the window.
26+
27+
Features plotting
28+
~~~~~~~~~~~~~~~~~
29+
These widgets plot the data stored in the ``.features`` attribute of individual napari layers.
30+
Currently available are:
31+
32+
- 2D scatter plots of two features against each other.
33+
34+
To use these:
35+
36+
1. Open the desired widget using the ``Plugins > napari-matplotlib`` menu in napari.
37+
2. Select a single layer that has a features table using the napari layers list in the bottom left-hand side of the window.
38+
3. Use the drop down menu(s) under the Matplotlib figure to select the feature(s) to plot.

0 commit comments

Comments
 (0)