Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Appearance settings

Commit e910e14

Browse filesBrowse files
clewis7clewis7
authored
add jupyter-sidecar as a dependency, update simple notebook (#300)
* add jupyter-sidecar as a dependency, update simple notebook * Update setup.py * add sidecar for plots * sidecar updates * add sidecar to gridplot * add close method to image widget, add sidecar to image widget * fix notebook errors * fix linear region selector * add vbox as kwarg for additional ipywidgets when showing plot and gridplot * fix notebooks
1 parent 0f5655c commit e910e14
Copy full SHA for e910e14

File tree

8 files changed

+383
-147
lines changed
Filter options

8 files changed

+383
-147
lines changed

‎examples/notebooks/gridplot_simple.ipynb

Copy file name to clipboardExpand all lines: examples/notebooks/gridplot_simple.ipynb
+67-52Lines changed: 67 additions & 52 deletions
Large diffs are not rendered by default.

‎examples/notebooks/linear_region_selector.ipynb

Copy file name to clipboardExpand all lines: examples/notebooks/linear_region_selector.ipynb
+21-55Lines changed: 21 additions & 55 deletions
Original file line numberDiff line numberDiff line change
@@ -2,7 +2,7 @@
22
"cells": [
33
{
44
"cell_type": "markdown",
5-
"id": "40bf515f-7ca3-4f16-8ec9-31076e8d4bde",
5+
"id": "1db50ec4-8754-4421-9f5e-6ba8ca6b81e3",
66
"metadata": {},
77
"source": [
88
"# `LinearRegionSelector` with single lines"
@@ -11,10 +11,8 @@
1111
{
1212
"cell_type": "code",
1313
"execution_count": null,
14-
"id": "41f4e1d0-9ae9-4e59-9883-d9339d985afe",
15-
"metadata": {
16-
"tags": []
17-
},
14+
"id": "b7bbfeb4-1ad0-47db-9a82-3d3f642a1f63",
15+
"metadata": {},
1816
"outputs": [],
1917
"source": [
2018
"import fastplotlib as fpl\n",
@@ -83,32 +81,12 @@
8381
"ls_x.selection.add_event_handler(set_zoom_x)\n",
8482
"ls_y.selection.add_event_handler(set_zoom_y)\n",
8583
"\n",
86-
"# make some ipywidget sliders too\n",
87-
"# these are not necessary, it's just to show how they can be connected\n",
88-
"x_range_slider = IntRangeSlider(\n",
89-
" value=ls_x.selection(),\n",
90-
" min=ls_x.limits[0],\n",
91-
" max=ls_x.limits[1],\n",
92-
" description=\"x\"\n",
93-
")\n",
94-
"\n",
95-
"y_range_slider = FloatRangeSlider(\n",
96-
" value=ls_y.selection(),\n",
97-
" min=ls_y.limits[0],\n",
98-
" max=ls_y.limits[1],\n",
99-
" description=\"x\"\n",
100-
")\n",
101-
"\n",
102-
"# connect the region selector to the ipywidget slider\n",
103-
"ls_x.add_ipywidget_handler(x_range_slider, step=5)\n",
104-
"ls_y.add_ipywidget_handler(y_range_slider, step=0.1)\n",
105-
"\n",
106-
"VBox([gp.show(), x_range_slider, y_range_slider])"
84+
"gp.show()"
10785
]
10886
},
10987
{
11088
"cell_type": "markdown",
111-
"id": "66b1c599-42c0-4223-b33e-37c1ef077204",
89+
"id": "0bad4a35-f860-4f85-9061-920154ab682b",
11290
"metadata": {},
11391
"source": [
11492
"### On the x-axis we have a 1-1 mapping from the data that we have passed and the line geometry positions. So the `bounds` min max corresponds directly to the data indices."
@@ -117,10 +95,8 @@
11795
{
11896
"cell_type": "code",
11997
"execution_count": null,
120-
"id": "8b26a37d-aa1d-478e-ad77-99f68a2b7d0c",
121-
"metadata": {
122-
"tags": []
123-
},
98+
"id": "2c96a3ff-c2e7-4683-8097-8491e97dd6d3",
99+
"metadata": {},
124100
"outputs": [],
125101
"source": [
126102
"ls_x.selection()"
@@ -129,18 +105,16 @@
129105
{
130106
"cell_type": "code",
131107
"execution_count": null,
132-
"id": "c2be060c-8f87-4b5c-8262-619768f6e6af",
133-
"metadata": {
134-
"tags": []
135-
},
108+
"id": "3ec71e3f-291c-43c6-a954-0a082ba5981c",
109+
"metadata": {},
136110
"outputs": [],
137111
"source": [
138112
"ls_x.get_selected_indices()"
139113
]
140114
},
141115
{
142116
"cell_type": "markdown",
143-
"id": "d1bef432-d764-4841-bd6d-9b9e4c86ff62",
117+
"id": "1588a89e-1da4-4ada-92e2-7437ba942065",
144118
"metadata": {},
145119
"source": [
146120
"### However, for the y-axis line we have passed a 2D array where we've used a linspace, so there is not a 1-1 mapping from the data to the line geometry positions. Use `get_selected_indices()` to get the indices of the data bounded by the current selection. In addition the position of the Graphic is not `(0, 0)`. You must use `get_selected_indices()` whenever you want the indices of the selected data."
@@ -149,10 +123,8 @@
149123
{
150124
"cell_type": "code",
151125
"execution_count": null,
152-
"id": "c370d6d7-d92a-4680-8bf0-2f9d541028be",
153-
"metadata": {
154-
"tags": []
155-
},
126+
"id": "18e10277-6d5d-42fe-8715-1733efabefa0",
127+
"metadata": {},
156128
"outputs": [],
157129
"source": [
158130
"ls_y.selection()"
@@ -161,10 +133,8 @@
161133
{
162134
"cell_type": "code",
163135
"execution_count": null,
164-
"id": "cdf351e1-63a2-4f5a-8199-8ac3f70909c1",
165-
"metadata": {
166-
"tags": []
167-
},
136+
"id": "8e9c42b9-60d2-4544-96c5-c8c6832b79e3",
137+
"metadata": {},
168138
"outputs": [],
169139
"source": [
170140
"ls_y.get_selected_indices()"
@@ -173,10 +143,8 @@
173143
{
174144
"cell_type": "code",
175145
"execution_count": null,
176-
"id": "6fd608ad-9732-4f50-9d43-8630603c86d0",
177-
"metadata": {
178-
"tags": []
179-
},
146+
"id": "a9583d2e-ec52-405c-a875-f3fec5e3aa16",
147+
"metadata": {},
180148
"outputs": [],
181149
"source": [
182150
"import fastplotlib as fpl\n",
@@ -224,7 +192,7 @@
224192
},
225193
{
226194
"cell_type": "markdown",
227-
"id": "63acd2b6-958e-458d-bf01-903037644cfe",
195+
"id": "0fa051b5-d6bc-4e4e-8f12-44f638a00c88",
228196
"metadata": {},
229197
"source": [
230198
"# Large line stack with selector"
@@ -233,10 +201,8 @@
233201
{
234202
"cell_type": "code",
235203
"execution_count": null,
236-
"id": "20e53223-6ccd-4145-bf67-32eb409d3b0a",
237-
"metadata": {
238-
"tags": []
239-
},
204+
"id": "d5ffb678-c989-49ee-85a9-4fd7822f033c",
205+
"metadata": {},
240206
"outputs": [],
241207
"source": [
242208
"import fastplotlib as fpl\n",
@@ -279,7 +245,7 @@
279245
{
280246
"cell_type": "code",
281247
"execution_count": null,
282-
"id": "80e276ba-23b3-43d0-9e0c-86acab79ac67",
248+
"id": "cbcd6309-fb47-4941-9fd1-2b091feb3ae7",
283249
"metadata": {},
284250
"outputs": [],
285251
"source": []
@@ -301,7 +267,7 @@
301267
"name": "python",
302268
"nbconvert_exporter": "python",
303269
"pygments_lexer": "ipython3",
304-
"version": "3.11.4"
270+
"version": "3.11.3"
305271
}
306272
},
307273
"nbformat": 4,

‎examples/notebooks/linear_selector.ipynb

Copy file name to clipboardExpand all lines: examples/notebooks/linear_selector.ipynb
+20-15Lines changed: 20 additions & 15 deletions
Original file line numberDiff line numberDiff line change
@@ -2,7 +2,7 @@
22
"cells": [
33
{
44
"cell_type": "markdown",
5-
"id": "e0354810-f942-4e4a-b4b9-bb8c083a314e",
5+
"id": "a06e1fd9-47df-42a3-a76c-19e23d7b89fd",
66
"metadata": {},
77
"source": [
88
"## `LinearSelector`, draggable selector that can optionally associated with an ipywidget."
@@ -11,10 +11,8 @@
1111
{
1212
"cell_type": "code",
1313
"execution_count": null,
14-
"id": "d79bb7e0-90af-4459-8dcb-a7a21a89ef64",
15-
"metadata": {
16-
"tags": []
17-
},
14+
"id": "eb95ba19-14b5-4bf4-93d9-05182fa500cb",
15+
"metadata": {},
1816
"outputs": [],
1917
"source": [
2018
"import fastplotlib as fpl\n",
@@ -59,21 +57,30 @@
5957
"selector3.add_ipywidget_handler(ipywidget_slider3, step=0.1)\n",
6058
"\n",
6159
"plot.auto_scale()\n",
62-
"plot.show()\n",
63-
"VBox([plot.show(), ipywidget_slider, ipywidget_slider2, ipywidget_slider3])"
60+
"plot.show(vbox=[ipywidget_slider])"
61+
]
62+
},
63+
{
64+
"cell_type": "code",
65+
"execution_count": null,
66+
"id": "7ab9f141-f92f-4c4c-808b-97dafd64ca25",
67+
"metadata": {},
68+
"outputs": [],
69+
"source": [
70+
"selector.step = 0.1"
6471
]
6572
},
6673
{
6774
"cell_type": "markdown",
68-
"id": "2c49cdc2-0555-410c-ae2e-da36c3bf3bf0",
75+
"id": "3b0f448f-bbe4-4b87-98e3-093f561c216c",
6976
"metadata": {},
7077
"source": [
7178
"### Drag linear selectors with the mouse, hold \"Shift\" to synchronize movement of all the selectors"
7279
]
7380
},
7481
{
7582
"cell_type": "markdown",
76-
"id": "69057edd-7e23-41e7-a284-ac55df1df5d9",
83+
"id": "c6f041b7-8779-46f1-8454-13cec66f53fd",
7784
"metadata": {},
7885
"source": [
7986
"## Also works for line collections"
@@ -82,10 +89,8 @@
8289
{
8390
"cell_type": "code",
8491
"execution_count": null,
85-
"id": "1a3b98bd-7139-48d9-bd70-66c500cd260d",
86-
"metadata": {
87-
"tags": []
88-
},
92+
"id": "e36da217-f82a-4dfa-9556-1f4a2c7c4f1c",
93+
"metadata": {},
8994
"outputs": [],
9095
"source": [
9196
"sines = [sine] * 10\n",
@@ -109,7 +114,7 @@
109114
{
110115
"cell_type": "code",
111116
"execution_count": null,
112-
"id": "b6c2d9d6-ffe0-484c-a550-cafb44fa8465",
117+
"id": "71ae4fca-f644-4d4f-8f32-f9d069bbc2f1",
113118
"metadata": {},
114119
"outputs": [],
115120
"source": []
@@ -131,7 +136,7 @@
131136
"name": "python",
132137
"nbconvert_exporter": "python",
133138
"pygments_lexer": "ipython3",
134-
"version": "3.11.4"
139+
"version": "3.11.3"
135140
}
136141
},
137142
"nbformat": 4,

0 commit comments

Comments
0 (0)
Morty Proxy This is a proxified and sanitized view of the page, visit original site.