image imagewidth (px) 75 2.22k | code stringlengths 300 16.2k | example_id stringlengths 28 79 | figure_index int64 0 26 | figure_name stringclasses 28
values | title stringlengths 38 94 | example_page_url stringlengths 61 195 | source_url stringlengths 80 111 | source_relpath stringlengths 6 37 | category_hint stringclasses 24
values | status stringclasses 1
value | num_figures int64 1 27 | error null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
"""
=========================
Date precision and epochs
=========================
Matplotlib can handle `.datetime` objects and `numpy.datetime64` objects using
a unit converter that recognizes these dates and converts them to floating
point numbers.
Before Matplotlib 3.3, the default for this conversion returns a fl... | stable__gallery__ticks__date_precision_and_epochs | 0 | figure_000.png | Date precision and epochs — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/date_precision_and_epochs.html#sphx-glr-download-gallery-ticks-date-precision-and-epochs-py | https://matplotlib.org/stable/_downloads/586a88c62e8a2d883ea392b25f0e62a9/date_precision_and_epochs.py | date_precision_and_epochs.py | ticks | ok | 2 | null | |
"""
============
Dollar ticks
============
Use a format string to prepend dollar signs on y-axis labels.
.. redirect-from:: /gallery/pyplots/dollar_ticks
"""
import matplotlib.pyplot as plt
import numpy as np
# Fixing random state for reproducibility
np.random.seed(19680801)
fig, ax = plt.subplots()
ax.plot(100*np... | stable__gallery__ticks__dollar_ticks | 0 | figure_000.png | Dollar ticks — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/dollar_ticks.html#sphx-glr-download-gallery-ticks-dollar-ticks-py | https://matplotlib.org/stable/_downloads/c42c8ac5c413d3d2897f606da8b90ccd/dollar_ticks.py | dollar_ticks.py | ticks | ok | 1 | null | |
"""
===================================================
SI prefixed offsets and natural order of magnitudes
===================================================
`matplotlib.ticker.EngFormatter` is capable of computing a natural
offset for your axis data, and presenting it with a standard SI prefix
automatically calcula... | stable__gallery__ticks__engformatter_offset | 0 | figure_000.png | SI prefixed offsets and natural order of magnitudes — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/engformatter_offset.html#sphx-glr-download-gallery-ticks-engformatter-offset-py | https://matplotlib.org/stable/_downloads/0626606af53131a40fb15598b3954d64/engformatter_offset.py | engformatter_offset.py | ticks | ok | 1 | null | |
"""
=========================
Fig Axes Customize Simple
=========================
Customize the background, labels and ticks of a simple plot.
.. redirect-from:: /gallery/pyplots/fig_axes_customize_simple
"""
import matplotlib.pyplot as plt
# %%
# `.pyplot.figure` creates a `matplotlib.figure.Figure` instance.
fig... | stable__gallery__ticks__fig_axes_customize_simple | 0 | figure_000.png | Fig Axes Customize Simple — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/fig_axes_customize_simple.html#sphx-glr-download-gallery-ticks-fig-axes-customize-simple-py | https://matplotlib.org/stable/_downloads/c2319cc152ca13b70dc936f2c7792dc2/fig_axes_customize_simple.py | fig_axes_customize_simple.py | ticks | ok | 1 | null | |
r"""
=====================
Major and minor ticks
=====================
Demonstrate how to use major and minor tickers.
The two relevant classes are `.Locator`\s and `.Formatter`\s. Locators
determine where the ticks are, and formatters control the formatting of tick
labels.
Minor ticks are off by default (using `.N... | stable__gallery__ticks__major_minor_demo | 0 | figure_000.png | Major and minor ticks — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/major_minor_demo.html#sphx-glr-download-gallery-ticks-major-minor-demo-py | https://matplotlib.org/stable/_downloads/4ad72df52615cfce120da1981d41d969/major_minor_demo.py | major_minor_demo.py | ticks | ok | 2 | null | |
"""
=========================
Multilevel (nested) ticks
=========================
Sometimes we want another level of tick labels on an axis, perhaps to indicate
a grouping of the ticks.
Matplotlib does not provide an automated way to do this, but it is relatively
straightforward to annotate below the main axis.
Thes... | stable__gallery__ticks__multilevel_ticks | 0 | figure_000.png | Multilevel (nested) ticks — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/multilevel_ticks.html#sphx-glr-download-gallery-ticks-multilevel-ticks-py | https://matplotlib.org/stable/_downloads/3525cc5d1774b69b18d51894d36a5368/multilevel_ticks.py | multilevel_ticks.py | ticks | ok | 3 | null | |
"""
=========================
Multilevel (nested) ticks
=========================
Sometimes we want another level of tick labels on an axis, perhaps to indicate
a grouping of the ticks.
Matplotlib does not provide an automated way to do this, but it is relatively
straightforward to annotate below the main axis.
Thes... | stable__gallery__ticks__multilevel_ticks | 1 | figure_001.png | Multilevel (nested) ticks — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/multilevel_ticks.html#sphx-glr-download-gallery-ticks-multilevel-ticks-py | https://matplotlib.org/stable/_downloads/3525cc5d1774b69b18d51894d36a5368/multilevel_ticks.py | multilevel_ticks.py | ticks | ok | 3 | null | |
"""
=========================
Multilevel (nested) ticks
=========================
Sometimes we want another level of tick labels on an axis, perhaps to indicate
a grouping of the ticks.
Matplotlib does not provide an automated way to do this, but it is relatively
straightforward to annotate below the main axis.
Thes... | stable__gallery__ticks__multilevel_ticks | 2 | figure_002.png | Multilevel (nested) ticks — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/multilevel_ticks.html#sphx-glr-download-gallery-ticks-multilevel-ticks-py | https://matplotlib.org/stable/_downloads/3525cc5d1774b69b18d51894d36a5368/multilevel_ticks.py | multilevel_ticks.py | ticks | ok | 3 | null | |
"""
==========================
The default tick formatter
==========================
By default, tick labels are formatted using a `.ScalarFormatter`, which can be
configured via `~.axes.Axes.ticklabel_format`. This example illustrates some
possible configurations:
- Default.
- ``useMathText=True``: Fancy formatting... | stable__gallery__ticks__scalarformatter | 0 | figure_000.png | The default tick formatter — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/scalarformatter.html#the-default-tick-formatter | https://matplotlib.org/stable/_downloads/d09144c4107ab96d8a55006e711872ef/scalarformatter.py | scalarformatter.py | ticks | ok | 1 | null | |
"""
===============
Tick formatters
===============
Tick formatters define how the numeric value associated with a tick on an axis
is formatted as a string.
This example illustrates the usage and effect of the most common formatters.
The tick format is configured via the function `~.Axis.set_major_formatter`
or `~.A... | stable__gallery__ticks__tick-formatters | 0 | figure_000.png | Tick formatters — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/tick-formatters.html#tick-formatters | https://matplotlib.org/stable/_downloads/982150f6f72db2a6042ea9a81adacb7e/tick-formatters.py | tick-formatters.py | ticks | ok | 1 | null | |
"""
=============
Tick locators
=============
Tick locators define the position of the ticks.
This example illustrates the usage and effect of the most common locators.
"""
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.ticker as ticker
def setup(ax, title):
"""Set up common parameters f... | stable__gallery__ticks__tick-locators | 0 | figure_000.png | Tick locators — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/tick-locators.html#tick-locators | https://matplotlib.org/stable/_downloads/7dd629c030892b8738bc4c5e86dc6736/tick-locators.py | tick-locators.py | ticks | ok | 1 | null | |
"""
============================================
Set default y-axis tick labels on the right
============================================
We can use :rc:`ytick.labelright`, :rc:`ytick.right`, :rc:`ytick.labelleft`,
and :rc:`ytick.left` to control where on the axes ticks and their labels
appear. These properties can al... | stable__gallery__ticks__tick_label_right | 0 | figure_000.png | Set default y-axis tick labels on the right — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/tick_label_right.html#sphx-glr-download-gallery-ticks-tick-label-right-py | https://matplotlib.org/stable/_downloads/e30931f9cdd67ddca47f3c2a7ec762c7/tick_label_right.py | tick_label_right.py | ticks | ok | 1 | null | |
"""
=========================================
Setting tick labels from a list of values
=========================================
Using `.Axes.set_xticks` causes the tick labels to be set on the currently
chosen ticks. However, you may want to allow matplotlib to dynamically
choose the number of ticks and their spacin... | stable__gallery__ticks__tick_labels_from_values | 0 | figure_000.png | Setting tick labels from a list of values — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/tick_labels_from_values.html#sphx-glr-download-gallery-ticks-tick-labels-from-values-py | https://matplotlib.org/stable/_downloads/2b7917f5efd95d93b11c49f7a421baeb/tick_labels_from_values.py | tick_labels_from_values.py | ticks | ok | 1 | null | |
"""
==================================
Move x-axis tick labels to the top
==================================
`~.axes.Axes.tick_params` can be used to configure the ticks. *top* and
*labeltop* control the visibility tick lines and labels at the top x-axis.
To move x-axis ticks from bottom to top, we have to activate th... | stable__gallery__ticks__tick_xlabel_top | 0 | figure_000.png | Move x-axis tick labels to the top — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/tick_xlabel_top.html#sphx-glr-download-gallery-ticks-tick-xlabel-top-py | https://matplotlib.org/stable/_downloads/3963661c0214fe8afa4aa8c5aa77218e/tick_xlabel_top.py | tick_xlabel_top.py | ticks | ok | 1 | null | |
"""
===================
Rotated tick labels
===================
"""
import matplotlib.pyplot as plt
x = [1, 2, 3, 4]
y = [1, 4, 9, 6]
labels = ['Frogs', 'Hogs', 'Bogs', 'Slogs']
fig, ax = plt.subplots()
ax.plot(x, y)
# A tick label rotation can be set using Axes.tick_params.
ax.tick_params("y", rotation=45)
# Altern... | stable__gallery__ticks__ticklabels_rotation | 0 | figure_000.png | Rotated tick labels — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/ticklabels_rotation.html#sphx-glr-download-gallery-ticks-ticklabels-rotation-py | https://matplotlib.org/stable/_downloads/6bf1f86ac14b705a7352333c341c3b82/ticklabels_rotation.py | ticklabels_rotation.py | ticks | ok | 1 | null | |
"""
=====================
Fixing too many ticks
=====================
One common cause for unexpected tick behavior is passing a list of strings
instead of numbers or datetime objects. This can easily happen without notice
when reading in a comma-delimited text file. Matplotlib treats lists of strings
as *categorical*... | stable__gallery__ticks__ticks_too_many | 0 | figure_000.png | Fixing too many ticks — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/ticks_too_many.html#sphx-glr-download-gallery-ticks-ticks-too-many-py | https://matplotlib.org/stable/_downloads/bf27e73826393797c5d906c0afefb14d/ticks_too_many.py | ticks_too_many.py | ticks | ok | 3 | null | |
"""
=====================
Fixing too many ticks
=====================
One common cause for unexpected tick behavior is passing a list of strings
instead of numbers or datetime objects. This can easily happen without notice
when reading in a comma-delimited text file. Matplotlib treats lists of strings
as *categorical*... | stable__gallery__ticks__ticks_too_many | 1 | figure_001.png | Fixing too many ticks — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/ticks_too_many.html#sphx-glr-download-gallery-ticks-ticks-too-many-py | https://matplotlib.org/stable/_downloads/bf27e73826393797c5d906c0afefb14d/ticks_too_many.py | ticks_too_many.py | ticks | ok | 3 | null | |
"""
=====================
Fixing too many ticks
=====================
One common cause for unexpected tick behavior is passing a list of strings
instead of numbers or datetime objects. This can easily happen without notice
when reading in a comma-delimited text file. Matplotlib treats lists of strings
as *categorical*... | stable__gallery__ticks__ticks_too_many | 2 | figure_002.png | Fixing too many ticks — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/ticks/ticks_too_many.html#sphx-glr-download-gallery-ticks-ticks-too-many-py | https://matplotlib.org/stable/_downloads/bf27e73826393797c5d906c0afefb14d/ticks_too_many.py | ticks_too_many.py | ticks | ok | 3 | null | |
"""
==========
Evans test
==========
A mockup "Foo" units class which supports conversion and different tick
formatting depending on the "unit". Here the "unit" is just a scalar
conversion factor, but this example shows that Matplotlib is entirely agnostic
to what kind of units client packages use.
"""
import matplo... | stable__gallery__units__evans_test | 0 | figure_000.png | Evans test — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/units/evans_test.html#sphx-glr-download-gallery-units-evans-test-py | https://matplotlib.org/stable/_downloads/dd53845e9b4ff2a1c978459bd05b003e/evans_test.py | evans_test.py | units | ok | 1 | null | |
"""
=============
SVG Histogram
=============
Demonstrate how to create an interactive histogram, in which bars
are hidden or shown by clicking on legend markers.
The interactivity is encoded in ecmascript (javascript) and inserted in
the SVG code in a post-processing step. To render the image, open it in
a web brows... | stable__gallery__user_interfaces__svg_histogram_sgskip | 0 | figure_000.png | SVG Histogram — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/user_interfaces/svg_histogram_sgskip.html#svg-histogram | https://matplotlib.org/stable/_downloads/dbbfc471cc5f69a894fff87dbd2bbf19/svg_histogram_sgskip.py | svg_histogram_sgskip.py | user_interfaces | ok | 1 | null | |
"""
===========
SVG Tooltip
===========
This example shows how to create a tooltip that will show up when
hovering over a matplotlib patch.
Although it is possible to create the tooltip from CSS or javascript,
here we create it in matplotlib and simply toggle its visibility on
when hovering over the patch. This appro... | stable__gallery__user_interfaces__svg_tooltip_sgskip | 0 | figure_000.png | SVG Tooltip — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/user_interfaces/svg_tooltip_sgskip.html#svg-tooltip | https://matplotlib.org/stable/_downloads/b1d72b68be293db9dab6f77187a06e16/svg_tooltip_sgskip.py | svg_tooltip_sgskip.py | user_interfaces | ok | 1 | null | |
r"""
================
Nested GridSpecs
================
This example demonstrates the use of nested `.GridSpec`\s.
"""
import matplotlib.pyplot as plt
import numpy as np
def squiggle_xy(a, b, c, d):
i = np.arange(0.0, 2*np.pi, 0.05)
return np.sin(i*a)*np.cos(i*b), np.sin(i*c)*np.cos(i*d)
fig = plt.figure(... | stable__gallery__userdemo__demo_gridspec06 | 0 | figure_000.png | Nested GridSpecs — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/userdemo/demo_gridspec06.html#sphx-glr-download-gallery-userdemo-demo-gridspec06-py | https://matplotlib.org/stable/_downloads/82f0e1275a063ac077b19c2162ab5453/demo_gridspec06.py | demo_gridspec06.py | userdemo | ok | 1 | null | |
"""
===============
Simple Legend01
===============
"""
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(211)
ax.plot([1, 2, 3], label="test1")
ax.plot([3, 2, 1], label="test2")
# Place a legend above this subplot, expanding itself to
# fully use the given bounding box.
ax.legend(bbox_to_ancho... | stable__gallery__userdemo__simple_legend01 | 0 | figure_000.png | Simple Legend01 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/userdemo/simple_legend01.html#sphx-glr-download-gallery-userdemo-simple-legend01-py | https://matplotlib.org/stable/_downloads/4e35546e054302909f70da22e48450ec/simple_legend01.py | simple_legend01.py | userdemo | ok | 1 | null | |
"""
===============
Simple Legend02
===============
"""
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
line1, = ax.plot([1, 2, 3], label="Line 1", linestyle='--')
line2, = ax.plot([3, 2, 1], label="Line 2", linewidth=4)
# Create a legend for the first line.
first_legend = ax.legend(handles=[line1], loc='u... | stable__gallery__userdemo__simple_legend02 | 0 | figure_000.png | Simple Legend02 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/userdemo/simple_legend02.html#sphx-glr-download-gallery-userdemo-simple-legend02-py | https://matplotlib.org/stable/_downloads/a28765be19887476469c03569a192293/simple_legend02.py | simple_legend02.py | userdemo | ok | 1 | null | |
"""
================
Annotated cursor
================
Display a data cursor including a text box, which shows the plot point close
to the mouse pointer.
The new cursor inherits from `~matplotlib.widgets.Cursor` and demonstrates the
creation of new widgets and their event callbacks.
See also the :doc:`cross hair cur... | stable__gallery__widgets__annotated_cursor | 0 | figure_000.png | Annotated cursor — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/annotated_cursor.html#trouble-with-non-biunique-functions | https://matplotlib.org/stable/_downloads/49afaefa9a6da5dbbf0e8baa083505f3/annotated_cursor.py | annotated_cursor.py | widgets | ok | 2 | null | |
"""
=======
Buttons
=======
Constructing a simple button GUI to modify a sine wave.
The ``next`` and ``previous`` button widget helps visualize the wave with
new frequencies.
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.widgets import Button
freqs = np.arange(2, 20, 3)
fig, ax = plt.subp... | stable__gallery__widgets__buttons | 0 | figure_000.png | Buttons — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/buttons.html#sphx-glr-download-gallery-widgets-buttons-py | https://matplotlib.org/stable/_downloads/1396177ce1d23fee4cbc40e2635021b2/buttons.py | buttons.py | widgets | ok | 1 | null | |
"""
=============
Check buttons
=============
Turning visual elements on and off with check buttons.
This program shows the use of `.CheckButtons` which is similar to
check boxes. There are 3 different sine waves shown, and we can choose which
waves are displayed with the check buttons.
Check buttons may be styled u... | stable__gallery__widgets__check_buttons | 0 | figure_000.png | Check buttons — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/check_buttons.html#sphx-glr-download-gallery-widgets-check-buttons-py | https://matplotlib.org/stable/_downloads/c08881ff905bac0ced64da581a650859/check_buttons.py | check_buttons.py | widgets | ok | 1 | null | |
"""
======
Cursor
======
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.widgets import Cursor
# Fixing random state for reproducibility
np.random.seed(19680801)
fig, ax = plt.subplots(figsize=(8, 6))
x, y = 4*(np.random.rand(2, 100) - .5)
ax.plot(x, y, 'o')
ax.set_xlim(-2, 2)
ax.set_ylim(-2... | stable__gallery__widgets__cursor | 0 | figure_000.png | Cursor — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/cursor.html#sphx-glr-download-gallery-widgets-cursor-py | https://matplotlib.org/stable/_downloads/b9ef6f84d8dd108e5700bbf0e163014a/cursor.py | cursor.py | widgets | ok | 1 | null | |
"""
==============
Lasso Selector
==============
Interactively selecting data points with the lasso tool.
This examples plots a scatter plot. You can then select a few points by drawing
a lasso loop around the points on the graph. To draw, just click
on the graph, hold, and drag it around the points you need to selec... | stable__gallery__widgets__lasso_selector_demo_sgskip | 0 | figure_000.png | Lasso Selector — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/lasso_selector_demo_sgskip.html#sphx-glr-download-gallery-widgets-lasso-selector-demo-sgskip-py | https://matplotlib.org/stable/_downloads/cff0c57a9f43e62cbd6e2ee706caa49e/lasso_selector_demo_sgskip.py | lasso_selector_demo_sgskip.py | widgets | ok | 1 | null | |
"""
====
Menu
====
Using texts to construct a simple menu.
"""
from dataclasses import dataclass
import matplotlib.pyplot as plt
import matplotlib.artist as artist
import matplotlib.patches as patches
from matplotlib.typing import ColorType
@dataclass
class ItemProperties:
fontsize: float = 14
labelcolor:... | stable__gallery__widgets__menu | 0 | figure_000.png | Menu — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/menu.html#sphx-glr-download-gallery-widgets-menu-py | https://matplotlib.org/stable/_downloads/1d795d2dbb3742249ef04dbbdc524568/menu.py | menu.py | widgets | ok | 1 | null | |
"""
============
Mouse Cursor
============
This example sets an alternative cursor on a figure canvas.
Note, this is an interactive example, and must be run to see the effect.
"""
import matplotlib.pyplot as plt
from matplotlib.backend_tools import Cursors
fig, axs = plt.subplots(len(Cursors), figsize=(6, len(Curs... | stable__gallery__widgets__mouse_cursor | 0 | figure_000.png | Mouse Cursor — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/mouse_cursor.html#sphx-glr-download-gallery-widgets-mouse-cursor-py | https://matplotlib.org/stable/_downloads/ab3f838084c7ddafe92dade4d05a6f67/mouse_cursor.py | mouse_cursor.py | widgets | ok | 1 | null | |
"""
===========
Multicursor
===========
Showing a cursor on multiple plots simultaneously.
This example generates three Axes split over two different figures. On
hovering the cursor over data in one subplot, the values of that datapoint are
shown in all Axes.
"""
import matplotlib.pyplot as plt
import numpy as np
... | stable__gallery__widgets__multicursor | 0 | figure_000.png | Multicursor — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/multicursor.html#sphx-glr-download-gallery-widgets-multicursor-py | https://matplotlib.org/stable/_downloads/515d3050c92b37baf0ab9a6a1511df37/multicursor.py | multicursor.py | widgets | ok | 2 | null | |
"""
===========
Multicursor
===========
Showing a cursor on multiple plots simultaneously.
This example generates three Axes split over two different figures. On
hovering the cursor over data in one subplot, the values of that datapoint are
shown in all Axes.
"""
import matplotlib.pyplot as plt
import numpy as np
... | stable__gallery__widgets__multicursor | 1 | figure_001.png | Multicursor — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/multicursor.html#sphx-glr-download-gallery-widgets-multicursor-py | https://matplotlib.org/stable/_downloads/515d3050c92b37baf0ab9a6a1511df37/multicursor.py | multicursor.py | widgets | ok | 2 | null | |
"""
=======================================================
Select indices from a collection using polygon selector
=======================================================
Shows how one can select indices of a polygon interactively.
"""
import numpy as np
from matplotlib.path import Path
from matplotlib.widgets impo... | stable__gallery__widgets__polygon_selector_demo | 0 | figure_000.png | Select indices from a collection using polygon selector — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/polygon_selector_demo.html#sphx-glr-download-gallery-widgets-polygon-selector-demo-py | https://matplotlib.org/stable/_downloads/e01448737f71ce88ac3f2177a351c1de/polygon_selector_demo.py | polygon_selector_demo.py | widgets | ok | 1 | null | |
"""
================
Polygon Selector
================
Shows how to create a polygon programmatically or interactively
"""
import matplotlib.pyplot as plt
from matplotlib.widgets import PolygonSelector
# %%
#
# To create the polygon programmatically
fig, ax = plt.subplots()
fig.show()
selector = PolygonSelector(ax... | stable__gallery__widgets__polygon_selector_simple | 0 | figure_000.png | Polygon Selector — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/polygon_selector_simple.html#sphx-glr-download-gallery-widgets-polygon-selector-simple-py | https://matplotlib.org/stable/_downloads/82a3b4570f59acc5a372cb7be136c952/polygon_selector_simple.py | polygon_selector_simple.py | widgets | ok | 2 | null | |
"""
================
Polygon Selector
================
Shows how to create a polygon programmatically or interactively
"""
import matplotlib.pyplot as plt
from matplotlib.widgets import PolygonSelector
# %%
#
# To create the polygon programmatically
fig, ax = plt.subplots()
fig.show()
selector = PolygonSelector(ax... | stable__gallery__widgets__polygon_selector_simple | 1 | figure_001.png | Polygon Selector — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/polygon_selector_simple.html#sphx-glr-download-gallery-widgets-polygon-selector-simple-py | https://matplotlib.org/stable/_downloads/82a3b4570f59acc5a372cb7be136c952/polygon_selector_simple.py | polygon_selector_simple.py | widgets | ok | 2 | null | |
"""
=============
Radio Buttons
=============
Using radio buttons to choose properties of your plot.
Radio buttons let you choose between multiple options in a visualization.
In this case, the buttons let the user choose one of the three different sine
waves to be shown in the plot.
Radio buttons may be styled using... | stable__gallery__widgets__radio_buttons | 0 | figure_000.png | Radio Buttons — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/radio_buttons.html#sphx-glr-download-gallery-widgets-radio-buttons-py | https://matplotlib.org/stable/_downloads/51785ae53b1786fb0ed5b01f90362232/radio_buttons.py | radio_buttons.py | widgets | ok | 1 | null | |
"""
=================================
Image scaling using a RangeSlider
=================================
Using the RangeSlider widget to control the thresholding of an image.
The RangeSlider widget can be used similarly to the `.widgets.Slider`
widget. The major difference is that RangeSlider's ``val`` attribute
is ... | stable__gallery__widgets__range_slider | 0 | figure_000.png | Image scaling using a RangeSlider — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/range_slider.html#sphx-glr-download-gallery-widgets-range-slider-py | https://matplotlib.org/stable/_downloads/5d09fa7f28b450731d677f4d2e54e675/range_slider.py | range_slider.py | widgets | ok | 1 | null | |
"""
===============================
Rectangle and ellipse selectors
===============================
Click somewhere, move the mouse, and release the mouse button.
`.RectangleSelector` and `.EllipseSelector` draw a rectangle or an ellipse
from the initial click position to the current mouse position (within the same
ax... | stable__gallery__widgets__rectangle_selector | 0 | figure_000.png | Rectangle and ellipse selectors — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/rectangle_selector.html#sphx-glr-download-gallery-widgets-rectangle-selector-py | https://matplotlib.org/stable/_downloads/6fd8c57479cccb2b7f96c0257b4200d1/rectangle_selector.py | rectangle_selector.py | widgets | ok | 1 | null | |
"""
======
Slider
======
In this example, sliders are used to control the frequency and amplitude of
a sine wave.
See :doc:`/gallery/widgets/slider_snap_demo` for an example of having
the ``Slider`` snap to discrete values.
See :doc:`/gallery/widgets/range_slider` for an example of using
a ``RangeSlider`` to define ... | stable__gallery__widgets__slider_demo | 0 | figure_000.png | Slider — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/slider_demo.html#sphx-glr-download-gallery-widgets-slider-demo-py | https://matplotlib.org/stable/_downloads/34827ebbd80a7be269c66280f4b258ee/slider_demo.py | slider_demo.py | widgets | ok | 1 | null | |
"""
===============================
Snap sliders to discrete values
===============================
You can snap slider values to discrete values using the ``valstep`` argument.
In this example the Freq slider is constrained to be multiples of pi, and the
Amp slider uses an array as the ``valstep`` argument to more d... | stable__gallery__widgets__slider_snap_demo | 0 | figure_000.png | Snap sliders to discrete values — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/slider_snap_demo.html#sphx-glr-download-gallery-widgets-slider-snap-demo-py | https://matplotlib.org/stable/_downloads/68c95e07ab61a26521daa7870bba11fe/slider_snap_demo.py | slider_snap_demo.py | widgets | ok | 1 | null | |
"""
=============
Span Selector
=============
The `.SpanSelector` is a mouse widget that enables selecting a range on an
axis.
Here, an x-range can be selected on the upper axis; a detailed view of the
selected range is then plotted on the lower axis.
.. note::
If the SpanSelector object is garbage collected yo... | stable__gallery__widgets__span_selector | 0 | figure_000.png | Span Selector — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/span_selector.html#sphx-glr-download-gallery-widgets-span-selector-py | https://matplotlib.org/stable/_downloads/b6df01615e62198a6e6b651c4b836b36/span_selector.py | span_selector.py | widgets | ok | 1 | null | |
"""
=======
Textbox
=======
The Textbox widget lets users interactively provide text input, including
formulas. In this example, the plot is updated using the `.on_submit` method.
This method triggers the execution of the *submit* function when the
user presses enter in the textbox or leaves the textbox.
Note: The `... | stable__gallery__widgets__textbox | 0 | figure_000.png | Textbox — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/widgets/textbox.html#textbox | https://matplotlib.org/stable/_downloads/9af1076c2fab3dbe816bfbf4cfe1b9f5/textbox.py | textbox.py | widgets | ok | 1 | null |
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