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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
"""
========================
Anchored Direction Arrow
========================
"""
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.font_manager as fm
from mpl_toolkits.axes_grid1.anchored_artists import AnchoredDirectionArrows
# Fixing random state for reproducibility
np.random.seed(19680801)
f... | stable__gallery__axes_grid1__demo_anchored_direction_arrows | 0 | figure_000.png | Anchored Direction Arrow — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_anchored_direction_arrows.html#sphx-glr-download-gallery-axes-grid1-demo-anchored-direction-arrows-py | https://matplotlib.org/stable/_downloads/82ac862070a073a69fc9b974db5ab46b/demo_anchored_direction_arrows.py | demo_anchored_direction_arrows.py | axes_grid1 | ok | 1 | null | |
"""
============
Axes divider
============
Axes divider to calculate location of Axes and
create a divider for them using existing Axes instances.
"""
import matplotlib.pyplot as plt
from matplotlib import cbook
def get_demo_image():
z = cbook.get_sample_data("axes_grid/bivariate_normal.npy") # 15x15 array
... | stable__gallery__axes_grid1__demo_axes_divider | 0 | figure_000.png | Axes divider — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_axes_divider.html#sphx-glr-download-gallery-axes-grid1-demo-axes-divider-py | https://matplotlib.org/stable/_downloads/52e9d9c67d12b0707ec2ebfda10937f5/demo_axes_divider.py | demo_axes_divider.py | axes_grid1 | ok | 1 | null | |
"""
==============
Demo Axes Grid
==============
Grid of 2x2 images with a single colorbar or with one colorbar per Axes.
"""
import matplotlib.pyplot as plt
from matplotlib import cbook
from mpl_toolkits.axes_grid1 import ImageGrid
fig = plt.figure(figsize=(10.5, 2.5))
Z = cbook.get_sample_data("axes_grid/bivariat... | stable__gallery__axes_grid1__demo_axes_grid | 0 | figure_000.png | Demo Axes Grid — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_axes_grid.html#sphx-glr-download-gallery-axes-grid1-demo-axes-grid-py | https://matplotlib.org/stable/_downloads/e59c7fc1ea02b23c213a2688aba898cc/demo_axes_grid.py | demo_axes_grid.py | axes_grid1 | ok | 1 | null | |
"""
==========
Axes Grid2
==========
Grid of images with shared xaxis and yaxis.
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cbook
from mpl_toolkits.axes_grid1 import ImageGrid
def add_inner_title(ax, title, loc, **kwargs):
from matplotlib.offsetbox import AnchoredText
fro... | stable__gallery__axes_grid1__demo_axes_grid2 | 0 | figure_000.png | Axes Grid2 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_axes_grid2.html#sphx-glr-download-gallery-axes-grid1-demo-axes-grid2-py | https://matplotlib.org/stable/_downloads/5fc19bc53f353b5d6f24bdca17a4c140/demo_axes_grid2.py | demo_axes_grid2.py | axes_grid1 | ok | 1 | null | |
"""
================================
HBoxDivider and VBoxDivider demo
================================
Using an `.HBoxDivider` to arrange subplots.
Note that both Axes' location are adjusted so that they have
equal heights while maintaining their aspect ratios.
"""
import matplotlib.pyplot as plt
import numpy as np... | stable__gallery__axes_grid1__demo_axes_hbox_divider | 0 | figure_000.png | HBoxDivider and VBoxDivider demo — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_axes_hbox_divider.html#sphx-glr-download-gallery-axes-grid1-demo-axes-hbox-divider-py | https://matplotlib.org/stable/_downloads/d068f88cea39314c1b79c61e63f18720/demo_axes_hbox_divider.py | demo_axes_hbox_divider.py | axes_grid1 | ok | 2 | null | |
"""
===============================
Show RGB channels using RGBAxes
===============================
`~.axes_grid1.axes_rgb.RGBAxes` creates a layout of 4 Axes for displaying RGB
channels: one large Axes for the RGB image and 3 smaller Axes for the R, G, B
channels.
"""
import matplotlib.pyplot as plt
import numpy as ... | stable__gallery__axes_grid1__demo_axes_rgb | 0 | figure_000.png | Show RGB channels using RGBAxes — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_axes_rgb.html#sphx-glr-download-gallery-axes-grid1-demo-axes-rgb-py | https://matplotlib.org/stable/_downloads/d4f8e826c13bbb870ffee065e8625f5d/demo_axes_rgb.py | demo_axes_rgb.py | axes_grid1 | ok | 2 | null | |
"""
===============================
Show RGB channels using RGBAxes
===============================
`~.axes_grid1.axes_rgb.RGBAxes` creates a layout of 4 Axes for displaying RGB
channels: one large Axes for the RGB image and 3 smaller Axes for the R, G, B
channels.
"""
import matplotlib.pyplot as plt
import numpy as ... | stable__gallery__axes_grid1__demo_axes_rgb | 1 | figure_001.png | Show RGB channels using RGBAxes — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_axes_rgb.html#sphx-glr-download-gallery-axes-grid1-demo-axes-rgb-py | https://matplotlib.org/stable/_downloads/d4f8e826c13bbb870ffee065e8625f5d/demo_axes_rgb.py | demo_axes_rgb.py | axes_grid1 | ok | 2 | null | |
"""
.. _demo-colorbar-with-axes-divider:
=========================
Colorbar with AxesDivider
=========================
The `.axes_divider.make_axes_locatable` function takes an existing Axes, adds
it to a new `.AxesDivider` and returns the `.AxesDivider`. The `.append_axes`
method of the `.AxesDivider` can then be u... | stable__gallery__axes_grid1__demo_colorbar_with_axes_divider | 0 | figure_000.png | Colorbar with AxesDivider — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_colorbar_with_axes_divider.html#sphx-glr-download-gallery-axes-grid1-demo-colorbar-with-axes-divider-py | https://matplotlib.org/stable/_downloads/cec7ab65767ff5217c21ae213755cda8/demo_colorbar_with_axes_divider.py | demo_colorbar_with_axes_divider.py | axes_grid1 | ok | 1 | null | |
"""
.. _demo-colorbar-with-inset-locator:
===========================================================
Control the position and size of a colorbar with Inset Axes
===========================================================
This example shows how to control the position, height, and width of colorbars
using `~mpl_toolk... | stable__gallery__axes_grid1__demo_colorbar_with_inset_locator | 0 | figure_000.png | Control the position and size of a colorbar with Inset Axes — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_colorbar_with_inset_locator.html#sphx-glr-download-gallery-axes-grid1-demo-colorbar-with-inset-locator-py | https://matplotlib.org/stable/_downloads/fef8ebea91f3e2d936a0356c1b573cd8/demo_colorbar_with_inset_locator.py | demo_colorbar_with_inset_locator.py | axes_grid1 | ok | 1 | null | |
"""
===============================
Per-row or per-column colorbars
===============================
This example shows how to use one common colorbar for each row or column
of an image grid.
"""
import matplotlib.pyplot as plt
from matplotlib import cbook
from mpl_toolkits.axes_grid1 import AxesGrid
def get_demo_i... | stable__gallery__axes_grid1__demo_edge_colorbar | 0 | figure_000.png | Per-row or per-column colorbars — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_edge_colorbar.html#sphx-glr-download-gallery-axes-grid1-demo-edge-colorbar-py | https://matplotlib.org/stable/_downloads/c58f7f66a7206520d8eef2c5a8a20d72/demo_edge_colorbar.py | demo_edge_colorbar.py | axes_grid1 | ok | 1 | null | |
"""
===============================
Axes with a fixed physical size
===============================
Note that this can be accomplished with the main library for
Axes on Figures that do not change size: :ref:`fixed_size_axes`
"""
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import Divider, Size
# %%
... | stable__gallery__axes_grid1__demo_fixed_size_axes | 0 | figure_000.png | Axes with a fixed physical size — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_fixed_size_axes.html#sphx-glr-download-gallery-axes-grid1-demo-fixed-size-axes-py | https://matplotlib.org/stable/_downloads/88a68d33e6dc95f3756002ca22961251/demo_fixed_size_axes.py | demo_fixed_size_axes.py | axes_grid1 | ok | 2 | null | |
"""
===============================
Axes with a fixed physical size
===============================
Note that this can be accomplished with the main library for
Axes on Figures that do not change size: :ref:`fixed_size_axes`
"""
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import Divider, Size
# %%
... | stable__gallery__axes_grid1__demo_fixed_size_axes | 1 | figure_001.png | Axes with a fixed physical size — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_fixed_size_axes.html#sphx-glr-download-gallery-axes-grid1-demo-fixed-size-axes-py | https://matplotlib.org/stable/_downloads/88a68d33e6dc95f3756002ca22961251/demo_fixed_size_axes.py | demo_fixed_size_axes.py | axes_grid1 | ok | 2 | null | |
"""
=========================================
ImageGrid cells with a fixed aspect ratio
=========================================
"""
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
fig = plt.figure()
grid1 = ImageGrid(fig, 121, (2, 2), axes_pad=0.1,
aspect=True, shar... | stable__gallery__axes_grid1__demo_imagegrid_aspect | 0 | figure_000.png | ImageGrid cells with a fixed aspect ratio — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/demo_imagegrid_aspect.html#sphx-glr-download-gallery-axes-grid1-demo-imagegrid-aspect-py | https://matplotlib.org/stable/_downloads/833e25177c1678266fcda4fb016bbcd7/demo_imagegrid_aspect.py | demo_imagegrid_aspect.py | axes_grid1 | ok | 1 | null | |
"""
==================
Inset locator demo
==================
"""
# %%
# The `.inset_locator`'s `~.inset_locator.inset_axes` allows
# easily placing insets in the corners of the Axes by specifying a width and
# height and optionally a location (loc) that accepts locations as codes,
# similar to `~matplotlib.axes.Axes.... | stable__gallery__axes_grid1__inset_locator_demo | 0 | figure_000.png | Inset locator demo — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/inset_locator_demo.html#sphx-glr-download-gallery-axes-grid1-inset-locator-demo-py | https://matplotlib.org/stable/_downloads/f8248729044d7fef8f20a43731251e38/inset_locator_demo.py | inset_locator_demo.py | axes_grid1 | ok | 3 | null | |
"""
====================
Inset locator demo 2
====================
This demo shows how to create a zoomed inset via `.zoomed_inset_axes`.
In the first subplot an `.AnchoredSizeBar` shows the zoom effect.
In the second subplot a connection to the region of interest is
created via `.mark_inset`.
A version of the second... | stable__gallery__axes_grid1__inset_locator_demo2 | 0 | figure_000.png | Inset locator demo 2 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/inset_locator_demo2.html#sphx-glr-download-gallery-axes-grid1-inset-locator-demo2-py | https://matplotlib.org/stable/_downloads/ffced02a69365d873f495b7cd6725498/inset_locator_demo2.py | inset_locator_demo2.py | axes_grid1 | ok | 1 | null | |
"""
===============
Parasite Simple
===============
"""
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
host = host_subplot(111)
par = host.twinx()
host.set_xlabel("Distance")
host.set_ylabel("Density")
par.set_ylabel("Temperature")
p1, = host.plot([0, 1, 2], [0, 1, 2], label="Dens... | stable__gallery__axes_grid1__parasite_simple | 0 | figure_000.png | Parasite Simple — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/parasite_simple.html#sphx-glr-download-gallery-axes-grid1-parasite-simple-py | https://matplotlib.org/stable/_downloads/88ad12e90a4c8c93f13b433c0f9c244f/parasite_simple.py | parasite_simple.py | axes_grid1 | ok | 1 | null | |
"""
================
Parasite Simple2
================
"""
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
from mpl_toolkits.axes_grid1.parasite_axes import HostAxes
obs = [["01_S1", 3.88, 0.14, 1970, 63],
["01_S4", 5.6, 0.82, 1622, 150],
["02_S1", 2.4, 0.54, 1570, 40],
... | stable__gallery__axes_grid1__parasite_simple2 | 0 | figure_000.png | Parasite Simple2 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/parasite_simple2.html#sphx-glr-download-gallery-axes-grid1-parasite-simple2-py | https://matplotlib.org/stable/_downloads/7cde5ea64c654f0494cddafd39449630/parasite_simple2.py | parasite_simple2.py | axes_grid1 | ok | 1 | null | |
"""
====================================================
Align histogram to scatter plot using locatable Axes
====================================================
Show the marginal distributions of a scatter plot as histograms at the sides of
the plot.
For a nice alignment of the main Axes with the marginals, the Axe... | stable__gallery__axes_grid1__scatter_hist_locatable_axes | 0 | figure_000.png | Align histogram to scatter plot using locatable Axes — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/scatter_hist_locatable_axes.html#sphx-glr-download-gallery-axes-grid1-scatter-hist-locatable-axes-py | https://matplotlib.org/stable/_downloads/51e912a5cf217f8c6647ebf9f5539d38/scatter_hist_locatable_axes.py | scatter_hist_locatable_axes.py | axes_grid1 | ok | 1 | null | |
"""
=======================
Simple Anchored Artists
=======================
This example illustrates the use of the anchored helper classes found in
:mod:`matplotlib.offsetbox` and in :mod:`mpl_toolkits.axes_grid1`.
An implementation of a similar figure, but without use of the toolkit,
can be found in :doc:`/gallery/m... | stable__gallery__axes_grid1__simple_anchored_artists | 0 | figure_000.png | Simple Anchored Artists — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/simple_anchored_artists.html#sphx-glr-download-gallery-axes-grid1-simple-anchored-artists-py | https://matplotlib.org/stable/_downloads/7aa510be32a5c72df8a01d67a5890deb/simple_anchored_artists.py | simple_anchored_artists.py | axes_grid1 | ok | 1 | null | |
"""
=====================
Simple Axes Divider 1
=====================
See also :ref:`axes_grid`.
"""
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import Divider, Size
def label_axes(ax, text):
"""Place a label at the center of an Axes, and remove the axis ticks."""
ax.text(.5, .5, text, tra... | stable__gallery__axes_grid1__simple_axes_divider1 | 0 | figure_000.png | Simple Axes Divider 1 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/simple_axes_divider1.html#sphx-glr-download-gallery-axes-grid1-simple-axes-divider1-py | https://matplotlib.org/stable/_downloads/43ee01b4b62cb46e1521f86c6de1a0a4/simple_axes_divider1.py | simple_axes_divider1.py | axes_grid1 | ok | 2 | null | |
"""
=====================
Simple Axes Divider 1
=====================
See also :ref:`axes_grid`.
"""
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import Divider, Size
def label_axes(ax, text):
"""Place a label at the center of an Axes, and remove the axis ticks."""
ax.text(.5, .5, text, tra... | stable__gallery__axes_grid1__simple_axes_divider1 | 1 | figure_001.png | Simple Axes Divider 1 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/simple_axes_divider1.html#sphx-glr-download-gallery-axes-grid1-simple-axes-divider1-py | https://matplotlib.org/stable/_downloads/43ee01b4b62cb46e1521f86c6de1a0a4/simple_axes_divider1.py | simple_axes_divider1.py | axes_grid1 | ok | 2 | null | |
"""
=====================
Simple axes divider 3
=====================
See also :ref:`axes_grid`.
"""
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import Divider
import mpl_toolkits.axes_grid1.axes_size as Size
fig = plt.figure(figsize=(5.5, 4))
# the rect parameter will be ignored as we will set ax... | stable__gallery__axes_grid1__simple_axes_divider3 | 0 | figure_000.png | Simple axes divider 3 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/simple_axes_divider3.html#sphx-glr-download-gallery-axes-grid1-simple-axes-divider3-py | https://matplotlib.org/stable/_downloads/bb0580289006b321b47cf070fd5c1bfb/simple_axes_divider3.py | simple_axes_divider3.py | axes_grid1 | ok | 1 | null | |
"""
================
Simple ImageGrid
================
Align multiple images using `~mpl_toolkits.axes_grid1.axes_grid.ImageGrid`.
"""
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import ImageGrid
im1 = np.arange(100).reshape((10, 10))
im2 = im1.T
im3 = np.flipud(im1)
im4 = np.fli... | stable__gallery__axes_grid1__simple_axesgrid | 0 | figure_000.png | Simple ImageGrid — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/simple_axesgrid.html#sphx-glr-download-gallery-axes-grid1-simple-axesgrid-py | https://matplotlib.org/stable/_downloads/c28e31130cca60f0a4ac710f3fbf96c8/simple_axesgrid.py | simple_axesgrid.py | axes_grid1 | ok | 1 | null | |
"""
==================
Simple ImageGrid 2
==================
Align multiple images of different sizes using
`~mpl_toolkits.axes_grid1.axes_grid.ImageGrid`.
"""
import matplotlib.pyplot as plt
from matplotlib import cbook
from mpl_toolkits.axes_grid1 import ImageGrid
fig = plt.figure(figsize=(5.5, 3.5))
grid = Image... | stable__gallery__axes_grid1__simple_axesgrid2 | 0 | figure_000.png | Simple ImageGrid 2 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/simple_axesgrid2.html#sphx-glr-download-gallery-axes-grid1-simple-axesgrid2-py | https://matplotlib.org/stable/_downloads/a6da60ccaa4eeba18fd39bf89cef94aa/simple_axesgrid2.py | simple_axesgrid2.py | axes_grid1 | ok | 1 | null | |
"""
================
Simple Axisline4
================
"""
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import host_subplot
ax = host_subplot(111)
xx = np.arange(0, 2*np.pi, 0.01)
ax.plot(xx, np.sin(xx))
ax2 = ax.twin() # ax2 is responsible for "top" axis and "right" axis
ax2.set... | stable__gallery__axes_grid1__simple_axisline4 | 0 | figure_000.png | Simple Axisline4 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axes_grid1/simple_axisline4.html#sphx-glr-download-gallery-axes-grid1-simple-axisline4-py | https://matplotlib.org/stable/_downloads/416437b16432ec060b1f3910fdfe5d78/simple_axisline4.py | simple_axisline4.py | axes_grid1 | ok | 1 | null | |
"""
==============
Axis Direction
==============
"""
import matplotlib.pyplot as plt
import mpl_toolkits.axisartist as axisartist
def setup_axes(fig, pos):
ax = fig.add_subplot(pos, axes_class=axisartist.Axes)
ax.set_ylim(-0.1, 1.5)
ax.set_yticks([0, 1])
ax.axis[:].set_visible(False)
ax.axis[... | stable__gallery__axisartist__axis_direction | 0 | figure_000.png | Axis Direction — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/axis_direction.html#sphx-glr-download-gallery-axisartist-axis-direction-py | https://matplotlib.org/stable/_downloads/3d8125065415e7722e62573de9ae1073/axis_direction.py | axis_direction.py | axisartist | ok | 1 | null | |
"""
===================
axis_direction demo
===================
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.projections import PolarAxes
from matplotlib.transforms import Affine2D
import mpl_toolkits.axisartist as axisartist
import mpl_toolkits.axisartist.angle_helper as angle_helper
import... | stable__gallery__axisartist__demo_axis_direction | 0 | figure_000.png | axis_direction demo — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_axis_direction.html#sphx-glr-download-gallery-axisartist-demo-axis-direction-py | https://matplotlib.org/stable/_downloads/a209d398996b5e5fa1542119df3c251c/demo_axis_direction.py | demo_axis_direction.py | axisartist | ok | 1 | null | |
"""
================
Axis line styles
================
This example shows some configurations for axis style.
Note: The `mpl_toolkits.axisartist` Axes classes may be confusing for new
users. If the only aim is to obtain arrow heads at the ends of the axes,
rather check out the :doc:`/gallery/spines/centered_spines_wi... | stable__gallery__axisartist__demo_axisline_style | 0 | figure_000.png | Axis line styles — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_axisline_style.html#sphx-glr-download-gallery-axisartist-demo-axisline-style-py | https://matplotlib.org/stable/_downloads/2efbf158321b6ee9b59fa6e4e5367de6/demo_axisline_style.py | demo_axisline_style.py | axisartist | ok | 1 | null | |
"""
=====================
Curvilinear grid demo
=====================
Custom grid and ticklines.
This example demonstrates how to use
`~.grid_helper_curvelinear.GridHelperCurveLinear` to define custom grids and
ticklines by applying a transformation on the grid. This can be used, as
shown on the second plot, to crea... | stable__gallery__axisartist__demo_curvelinear_grid | 0 | figure_000.png | Curvilinear grid demo — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_curvelinear_grid.html#sphx-glr-download-gallery-axisartist-demo-curvelinear-grid-py | https://matplotlib.org/stable/_downloads/0dff3dd67468123eb00b27dd85176840/demo_curvelinear_grid.py | demo_curvelinear_grid.py | axisartist | ok | 1 | null | |
"""
======================
Demo CurveLinear Grid2
======================
Custom grid and ticklines.
This example demonstrates how to use GridHelperCurveLinear to define
custom grids and ticklines by applying a transformation on the grid.
As showcase on the plot, a 5x5 matrix is displayed on the Axes.
"""
import matp... | stable__gallery__axisartist__demo_curvelinear_grid2 | 0 | figure_000.png | Demo CurveLinear Grid2 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_curvelinear_grid2.html#sphx-glr-download-gallery-axisartist-demo-curvelinear-grid2-py | https://matplotlib.org/stable/_downloads/0466e9045f8fe3100f98c2a3b536994c/demo_curvelinear_grid2.py | demo_curvelinear_grid2.py | axisartist | ok | 1 | null | |
"""
==========================
``floating_axes`` features
==========================
Demonstration of features of the :mod:`.floating_axes` module:
* Using `~.axes.Axes.scatter` and `~.axes.Axes.bar` with changing the shape of
the plot.
* Using `~.floating_axes.GridHelperCurveLinear` to rotate the plot and set the
... | stable__gallery__axisartist__demo_floating_axes | 0 | figure_000.png | floating_axes features — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_floating_axes.html#sphx-glr-download-gallery-axisartist-demo-floating-axes-py | https://matplotlib.org/stable/_downloads/c53046419d84d1eb912e1ce17dcc1789/demo_floating_axes.py | demo_floating_axes.py | axisartist | ok | 1 | null | |
"""
==================
floating_axis demo
==================
Axis within rectangular frame.
The following code demonstrates how to put a floating polar curve within a
rectangular box. In order to get a better sense of polar curves, please look at
:doc:`/gallery/axisartist/demo_curvelinear_grid`.
"""
import matplotli... | stable__gallery__axisartist__demo_floating_axis | 0 | figure_000.png | floating_axis demo — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_floating_axis.html#sphx-glr-download-gallery-axisartist-demo-floating-axis-py | https://matplotlib.org/stable/_downloads/12927e05bde893cbae7f16aaed1b87eb/demo_floating_axis.py | demo_floating_axis.py | axisartist | ok | 1 | null | |
"""
==================
Parasite Axes demo
==================
Create a parasite Axes. Such Axes would share the x scale with a host Axes,
but show a different scale in y direction.
This approach uses `mpl_toolkits.axes_grid1.parasite_axes.HostAxes` and
`mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes`.
The standar... | stable__gallery__axisartist__demo_parasite_axes | 0 | figure_000.png | Parasite Axes demo — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_parasite_axes.html#sphx-glr-download-gallery-axisartist-demo-parasite-axes-py | https://matplotlib.org/stable/_downloads/5922b9d93b49d592301af79dfdddf7de/demo_parasite_axes.py | demo_parasite_axes.py | axisartist | ok | 1 | null | |
"""
==================
Parasite axis demo
==================
This example demonstrates the use of parasite axis to plot multiple datasets
onto one single plot.
Notice how in this example, *par1* and *par2* are both obtained by calling
``twinx()``, which ties their x-limits with the host's x-axis. From there, each
of ... | stable__gallery__axisartist__demo_parasite_axes2 | 0 | figure_000.png | Parasite axis demo — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_parasite_axes2.html#sphx-glr-download-gallery-axisartist-demo-parasite-axes2-py | https://matplotlib.org/stable/_downloads/07a9488814cca10d5122c0c5527bcaaf/demo_parasite_axes2.py | demo_parasite_axes2.py | axisartist | ok | 1 | null | |
"""
===================
Ticklabel alignment
===================
"""
import matplotlib.pyplot as plt
import mpl_toolkits.axisartist as axisartist
def setup_axes(fig, pos):
ax = fig.add_subplot(pos, axes_class=axisartist.Axes)
ax.set_yticks([0.2, 0.8], labels=["short", "loooong"])
ax.set_xticks([0.2, 0.... | stable__gallery__axisartist__demo_ticklabel_alignment | 0 | figure_000.png | Ticklabel alignment — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_ticklabel_alignment.html#ticklabel-alignment | https://matplotlib.org/stable/_downloads/10139578672ab6e375bdd67b9504f4d6/demo_ticklabel_alignment.py | demo_ticklabel_alignment.py | axisartist | ok | 1 | null | |
"""
===================
Ticklabel direction
===================
"""
import matplotlib.pyplot as plt
import mpl_toolkits.axisartist.axislines as axislines
def setup_axes(fig, pos):
ax = fig.add_subplot(pos, axes_class=axislines.Axes)
ax.set_yticks([0.2, 0.8])
ax.set_xticks([0.2, 0.8])
return ax
fi... | stable__gallery__axisartist__demo_ticklabel_direction | 0 | figure_000.png | Ticklabel direction — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/demo_ticklabel_direction.html#ticklabel-direction | https://matplotlib.org/stable/_downloads/aa167433a0ccdf23a207687a44a29246/demo_ticklabel_direction.py | demo_ticklabel_direction.py | axisartist | ok | 1 | null | |
"""
=====================
Simple axis direction
=====================
"""
import matplotlib.pyplot as plt
import mpl_toolkits.axisartist as axisartist
fig = plt.figure(figsize=(4, 2.5))
ax1 = fig.add_subplot(axes_class=axisartist.Axes)
fig.subplots_adjust(right=0.8)
ax1.axis["left"].major_ticklabels.set_axis_direct... | stable__gallery__axisartist__simple_axis_direction01 | 0 | figure_000.png | Simple axis direction — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/simple_axis_direction01.html#sphx-glr-download-gallery-axisartist-simple-axis-direction01-py | https://matplotlib.org/stable/_downloads/3b445f30fa702ff55f1547368707c820/simple_axis_direction01.py | simple_axis_direction01.py | axisartist | ok | 1 | null | |
"""
==========================================
Simple axis tick label and tick directions
==========================================
First subplot moves the tick labels to inside the spines.
Second subplot moves the ticks to inside the spines.
These effects can be obtained for a standard Axes by `~.Axes.tick_params`.
... | stable__gallery__axisartist__simple_axis_direction03 | 0 | figure_000.png | Simple axis tick label and tick directions — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/simple_axis_direction03.html#sphx-glr-download-gallery-axisartist-simple-axis-direction03-py | https://matplotlib.org/stable/_downloads/1841cf2985a8e908a9488d1cfc5e6ba3/simple_axis_direction03.py | simple_axis_direction03.py | axisartist | ok | 1 | null | |
"""
===============
Simple axis pad
===============
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.projections import PolarAxes
from matplotlib.transforms import Affine2D
import mpl_toolkits.axisartist as axisartist
import mpl_toolkits.axisartist.angle_helper as angle_helper
import mpl_toolki... | stable__gallery__axisartist__simple_axis_pad | 0 | figure_000.png | Simple axis pad — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/simple_axis_pad.html#sphx-glr-download-gallery-axisartist-simple-axis-pad-py | https://matplotlib.org/stable/_downloads/6a991ef2680010dc3e315bc57b8de102/simple_axis_pad.py | simple_axis_pad.py | axisartist | ok | 1 | null | |
"""
=============================
Custom spines with axisartist
=============================
This example showcases the use of :mod:`.axisartist` to draw spines at custom
positions (here, at ``y = 0``).
Note, however, that it is simpler to achieve this effect using standard
`.Spine` methods, as demonstrated in
:doc:... | stable__gallery__axisartist__simple_axisartist1 | 0 | figure_000.png | Custom spines with axisartist — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/simple_axisartist1.html#sphx-glr-download-gallery-axisartist-simple-axisartist1-py | https://matplotlib.org/stable/_downloads/172bea947b5b7014a1272376e04e4e51/simple_axisartist1.py | simple_axisartist1.py | axisartist | ok | 1 | null | |
"""
===============
Simple Axisline
===============
"""
import matplotlib.pyplot as plt
from mpl_toolkits.axisartist.axislines import AxesZero
fig = plt.figure()
fig.subplots_adjust(right=0.85)
ax = fig.add_subplot(axes_class=AxesZero)
# make right and top axis invisible
ax.axis["right"].set_visible(False)
ax.axis... | stable__gallery__axisartist__simple_axisline | 0 | figure_000.png | Simple Axisline — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/simple_axisline.html#sphx-glr-download-gallery-axisartist-simple-axisline-py | https://matplotlib.org/stable/_downloads/bb682f022912692f490c5c3e20e0b35b/simple_axisline.py | simple_axisline.py | axisartist | ok | 1 | null | |
"""
================
Simple Axisline3
================
"""
import matplotlib.pyplot as plt
from mpl_toolkits.axisartist.axislines import Axes
fig = plt.figure(figsize=(3, 3))
ax = fig.add_subplot(axes_class=Axes)
ax.axis["right"].set_visible(False)
ax.axis["top"].set_visible(False)
plt.show()
| stable__gallery__axisartist__simple_axisline3 | 0 | figure_000.png | Simple Axisline3 — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/axisartist/simple_axisline3.html#sphx-glr-download-gallery-axisartist-simple-axisline3-py | https://matplotlib.org/stable/_downloads/364e7f571a4fb87e2fc9de904066c64a/simple_axisline3.py | simple_axisline3.py | axisartist | ok | 1 | null | |
"""
================
Color by y-value
================
Use masked arrays to plot a line with different colors by y-value.
"""
import matplotlib.pyplot as plt
import numpy as np
t = np.arange(0.0, 2.0, 0.01)
s = np.sin(2 * np.pi * t)
upper = 0.77
lower = -0.77
supper = np.ma.masked_where(s < upper, s)
slower = np.ma... | stable__gallery__color__color_by_yvalue | 0 | figure_000.png | Color by y-value — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/color_by_yvalue.html#sphx-glr-download-gallery-color-color-by-yvalue-py | https://matplotlib.org/stable/_downloads/03190594ca1f6702e35730d7e22745c5/color_by_yvalue.py | color_by_yvalue.py | color | ok | 1 | null | |
"""
====================================
Colors in the default property cycle
====================================
Display the colors from the default prop_cycle, which is obtained from the
:ref:`rc parameters<customizing>`.
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import TABLEAU_... | stable__gallery__color__color_cycle_default | 0 | figure_000.png | Colors in the default property cycle — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/color_cycle_default.html#sphx-glr-download-gallery-color-color-cycle-default-py | https://matplotlib.org/stable/_downloads/233af54bee28814ae4bb34817226f0ea/color_cycle_default.py | color_cycle_default.py | color | ok | 1 | null | |
"""
==========
Color Demo
==========
Matplotlib recognizes the following formats to specify a color:
1) an RGB or RGBA tuple of float values in ``[0, 1]`` (e.g. ``(0.1, 0.2, 0.5)``
or ``(0.1, 0.2, 0.5, 0.3)``). RGBA is short for Red, Green, Blue, Alpha;
2) a hex RGB or RGBA string (e.g., ``'#0F0F0F'`` or ``'#0F0F... | stable__gallery__color__color_demo | 0 | figure_000.png | Color Demo — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/color_demo.html#sphx-glr-download-gallery-color-color-demo-py | https://matplotlib.org/stable/_downloads/0622457b6b860061b937fd5f8d899da8/color_demo.py | color_demo.py | color | ok | 1 | null | |
"""
=====================
Named color sequences
=====================
Matplotlib's `~matplotlib.colors.ColorSequenceRegistry` allows access to
predefined lists of colors by name e.g.
``colors = matplotlib.color_sequences['Set1']``. This example shows all of the
built in color sequences.
User-defined sequences can be... | stable__gallery__color__color_sequences | 0 | figure_000.png | Named color sequences — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/color_sequences.html#sphx-glr-download-gallery-color-color-sequences-py | https://matplotlib.org/stable/_downloads/9e70d40e9d045adb66bdd483958508f2/color_sequences.py | color_sequences.py | color | ok | 1 | null | |
"""
========
Colorbar
========
Use `~.Figure.colorbar` by specifying the mappable object (here
the `.AxesImage` returned by `~.axes.Axes.imshow`)
and the Axes to attach the colorbar to.
"""
import matplotlib.pyplot as plt
import numpy as np
# setup some generic data
N = 37
x, y = np.mgrid[:N, :N]
Z = (np.cos(x*0.2) ... | stable__gallery__color__colorbar_basics | 0 | figure_000.png | Colorbar — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/colorbar_basics.html#sphx-glr-download-gallery-color-colorbar-basics-py | https://matplotlib.org/stable/_downloads/642498711ab58d6f80ef376a375dda14/colorbar_basics.py | colorbar_basics.py | color | ok | 1 | null | |
"""
==================
Colormap reference
==================
Reference for colormaps included with Matplotlib.
A reversed version of each of these colormaps is available by appending
``_r`` to the name, as shown in :ref:`reverse-cmap`.
See :ref:`colormaps` for an in-depth discussion about
colormaps, including colorb... | stable__gallery__color__colormap_reference | 0 | figure_000.png | Colormap reference — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/colormap_reference.html#sphx-glr-download-gallery-color-colormap-reference-py | https://matplotlib.org/stable/_downloads/dd314a83577f446493e34d27a1ed8451/colormap_reference.py | colormap_reference.py | color | ok | 8 | null | |
"""
==================
Colormap reference
==================
Reference for colormaps included with Matplotlib.
A reversed version of each of these colormaps is available by appending
``_r`` to the name, as shown in :ref:`reverse-cmap`.
See :ref:`colormaps` for an in-depth discussion about
colormaps, including colorb... | stable__gallery__color__colormap_reference | 1 | figure_001.png | Colormap reference — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/colormap_reference.html#sphx-glr-download-gallery-color-colormap-reference-py | https://matplotlib.org/stable/_downloads/dd314a83577f446493e34d27a1ed8451/colormap_reference.py | colormap_reference.py | color | ok | 8 | null | |
"""
==================
Colormap reference
==================
Reference for colormaps included with Matplotlib.
A reversed version of each of these colormaps is available by appending
``_r`` to the name, as shown in :ref:`reverse-cmap`.
See :ref:`colormaps` for an in-depth discussion about
colormaps, including colorb... | stable__gallery__color__colormap_reference | 2 | figure_002.png | Colormap reference — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/colormap_reference.html#sphx-glr-download-gallery-color-colormap-reference-py | https://matplotlib.org/stable/_downloads/dd314a83577f446493e34d27a1ed8451/colormap_reference.py | colormap_reference.py | color | ok | 8 | null | |
"""
==================
Colormap reference
==================
Reference for colormaps included with Matplotlib.
A reversed version of each of these colormaps is available by appending
``_r`` to the name, as shown in :ref:`reverse-cmap`.
See :ref:`colormaps` for an in-depth discussion about
colormaps, including colorb... | stable__gallery__color__colormap_reference | 3 | figure_003.png | Colormap reference — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/colormap_reference.html#sphx-glr-download-gallery-color-colormap-reference-py | https://matplotlib.org/stable/_downloads/dd314a83577f446493e34d27a1ed8451/colormap_reference.py | colormap_reference.py | color | ok | 8 | null | |
"""
==================
Colormap reference
==================
Reference for colormaps included with Matplotlib.
A reversed version of each of these colormaps is available by appending
``_r`` to the name, as shown in :ref:`reverse-cmap`.
See :ref:`colormaps` for an in-depth discussion about
colormaps, including colorb... | stable__gallery__color__colormap_reference | 4 | figure_004.png | Colormap reference — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/colormap_reference.html#sphx-glr-download-gallery-color-colormap-reference-py | https://matplotlib.org/stable/_downloads/dd314a83577f446493e34d27a1ed8451/colormap_reference.py | colormap_reference.py | color | ok | 8 | null | |
"""
==================
Colormap reference
==================
Reference for colormaps included with Matplotlib.
A reversed version of each of these colormaps is available by appending
``_r`` to the name, as shown in :ref:`reverse-cmap`.
See :ref:`colormaps` for an in-depth discussion about
colormaps, including colorb... | stable__gallery__color__colormap_reference | 5 | figure_005.png | Colormap reference — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/colormap_reference.html#sphx-glr-download-gallery-color-colormap-reference-py | https://matplotlib.org/stable/_downloads/dd314a83577f446493e34d27a1ed8451/colormap_reference.py | colormap_reference.py | color | ok | 8 | null | |
"""
==================
Colormap reference
==================
Reference for colormaps included with Matplotlib.
A reversed version of each of these colormaps is available by appending
``_r`` to the name, as shown in :ref:`reverse-cmap`.
See :ref:`colormaps` for an in-depth discussion about
colormaps, including colorb... | stable__gallery__color__colormap_reference | 6 | figure_006.png | Colormap reference — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/colormap_reference.html#sphx-glr-download-gallery-color-colormap-reference-py | https://matplotlib.org/stable/_downloads/dd314a83577f446493e34d27a1ed8451/colormap_reference.py | colormap_reference.py | color | ok | 8 | null | |
"""
==================
Colormap reference
==================
Reference for colormaps included with Matplotlib.
A reversed version of each of these colormaps is available by appending
``_r`` to the name, as shown in :ref:`reverse-cmap`.
See :ref:`colormaps` for an in-depth discussion about
colormaps, including colorb... | stable__gallery__color__colormap_reference | 7 | figure_007.png | Colormap reference — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/colormap_reference.html#sphx-glr-download-gallery-color-colormap-reference-py | https://matplotlib.org/stable/_downloads/dd314a83577f446493e34d27a1ed8451/colormap_reference.py | colormap_reference.py | color | ok | 8 | null | |
"""
=======================================
Create a colormap from a list of colors
=======================================
For more detail on creating and manipulating colormaps see
:ref:`colormap-manipulation`.
Creating a :ref:`colormap <colormaps>` from a list of colors
can be done with the `.LinearSegmentedColorm... | stable__gallery__color__custom_cmap | 0 | figure_000.png | Create a colormap from a list of colors — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/custom_cmap.html#sphx-glr-download-gallery-color-custom-cmap-py | https://matplotlib.org/stable/_downloads/fba15be770735fdb1b9272eaaf80104e/custom_cmap.py | custom_cmap.py | color | ok | 2 | null | |
"""
=======================================
Create a colormap from a list of colors
=======================================
For more detail on creating and manipulating colormaps see
:ref:`colormap-manipulation`.
Creating a :ref:`colormap <colormaps>` from a list of colors
can be done with the `.LinearSegmentedColorm... | stable__gallery__color__custom_cmap | 1 | figure_001.png | Create a colormap from a list of colors — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/custom_cmap.html#sphx-glr-download-gallery-color-custom-cmap-py | https://matplotlib.org/stable/_downloads/fba15be770735fdb1b9272eaaf80104e/custom_cmap.py | custom_cmap.py | color | ok | 2 | null | |
"""
===========================================
Selecting individual colors from a colormap
===========================================
Sometimes we want to use more colors or a different set of colors than the default color
cycle provides. Selecting individual colors from one of the provided colormaps can be a
conven... | stable__gallery__color__individual_colors_from_cmap | 0 | figure_000.png | Selecting individual colors from a colormap — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/individual_colors_from_cmap.html#sphx-glr-download-gallery-color-individual-colors-from-cmap-py | https://matplotlib.org/stable/_downloads/b1c9924f6057db5fd639115816c61470/individual_colors_from_cmap.py | individual_colors_from_cmap.py | color | ok | 2 | null | |
"""
====================
List of named colors
====================
This plots a list of the named colors supported by Matplotlib.
For more information on colors in matplotlib see
* the :ref:`colors_def` tutorial;
* the `matplotlib.colors` API;
* the :doc:`/gallery/color/color_demo`.
----------------------------
Help... | stable__gallery__color__named_colors | 0 | figure_000.png | List of named colors — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/named_colors.html#xkcd-colors | https://matplotlib.org/stable/_downloads/861cf0b07b083f3c44ddd625a0e99000/named_colors.py | named_colors.py | color | ok | 3 | null | |
"""
====================
List of named colors
====================
This plots a list of the named colors supported by Matplotlib.
For more information on colors in matplotlib see
* the :ref:`colors_def` tutorial;
* the `matplotlib.colors` API;
* the :doc:`/gallery/color/color_demo`.
----------------------------
Help... | stable__gallery__color__named_colors | 1 | figure_001.png | List of named colors — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/named_colors.html#xkcd-colors | https://matplotlib.org/stable/_downloads/861cf0b07b083f3c44ddd625a0e99000/named_colors.py | named_colors.py | color | ok | 3 | null | |
"""
====================
List of named colors
====================
This plots a list of the named colors supported by Matplotlib.
For more information on colors in matplotlib see
* the :ref:`colors_def` tutorial;
* the `matplotlib.colors` API;
* the :doc:`/gallery/color/color_demo`.
----------------------------
Help... | stable__gallery__color__named_colors | 2 | figure_002.png | List of named colors — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/named_colors.html#xkcd-colors | https://matplotlib.org/stable/_downloads/861cf0b07b083f3c44ddd625a0e99000/named_colors.py | named_colors.py | color | ok | 3 | null | |
"""
=================================
Ways to set a color's alpha value
=================================
Compare setting alpha by the *alpha* keyword argument and by one of the Matplotlib color
formats. Often, the *alpha* keyword is the only tool needed to add transparency to a
color. In some cases, the *(matplotlib_... | stable__gallery__color__set_alpha | 0 | figure_000.png | Ways to set a color's alpha value — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/color/set_alpha.html#ways-to-set-a-color-s-alpha-value | https://matplotlib.org/stable/_downloads/8ac9df75950acff1ebf040a1d2761824/set_alpha.py | set_alpha.py | color | ok | 1 | null | |
"""
===========
Close event
===========
Example to show connecting events that occur when the figure closes.
.. note::
This example exercises the interactive capabilities of Matplotlib, and this
will not appear in the static documentation. Please run this code on your
machine to see the interactivity.
... | stable__gallery__event_handling__close_event | 0 | figure_000.png | Close event — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/event_handling/close_event.html#sphx-glr-download-gallery-event-handling-close-event-py | https://matplotlib.org/stable/_downloads/2488fa170f211c6d0f8dabb214010122/close_event.py | close_event.py | event_handling | ok | 1 | null | |
"""
===========================
Mouse move and click events
===========================
An example of how to interact with the plotting canvas by connecting to move
and click events.
.. note::
This example exercises the interactive capabilities of Matplotlib, and this
will not appear in the static documentati... | stable__gallery__event_handling__coords_demo | 0 | figure_000.png | Mouse move and click events — Matplotlib 3.10.8 documentation | https://matplotlib.org/stable/gallery/event_handling/coords_demo.html#sphx-glr-download-gallery-event-handling-coords-demo-py | https://matplotlib.org/stable/_downloads/4153d91592ea2c87ab46a3a29e0530ed/coords_demo.py | coords_demo.py | event_handling | ok | 1 | null |
Matplotlib Code-Image Pairs
Dataset Summary
This dataset contains static Matplotlib figure images paired with the Python source code that generated them. It was built from the official Matplotlib gallery and excludes animation-style examples. Each row corresponds to one rendered image. Examples that produce multiple figures contribute multiple rows.
Dataset Composition
- Image/code rows: 643
- Source examples: 452
- Examples with multiple figures: 74
- Included statuses: ok
- Source gallery: https://matplotlib.org/stable/gallery/index.html
Top Categories
lines_bars_and_markers: 48 examplesimages_contours_and_fields: 47 examplestext_labels_and_annotations: 46 examplesmplot3d: 44 examplessubplots_axes_and_figures: 35 examplesmisc: 25 examplesticks: 24 examplesaxes_grid1: 22 examplesstatistics: 21 examplesevent_handling: 20 examples
Row Schema
image: rendered PNG for one figurecode: full Python source for the exampleexample_id: stable identifier derived from the Matplotlib gallery URLfigure_index: zero-based figure index within the examplefigure_name: original rendered image filenametitle: example page titleexample_page_url: Matplotlib gallery page URLsource_url: downloadable Python source URL when availablesource_relpath: source filename reported by the scrapercategory_hint: rough gallery category inferred from the URL pathstatus: scraper/render status kept for provenancenum_figures: number of figures reported for the source exampleerror: render or scrape error text, usually null for successful rows
Build Process
- Crawl the official Matplotlib gallery.
- Download the Python source for each example page.
- Render examples with Matplotlib's non-interactive
Aggbackend. - Keep static rendered image/code pairs and skip dynamic animation-style examples.
- Export one dataset row per rendered image.
Usage
Load the local saved dataset:
from datasets import load_from_disk
ds = load_from_disk("/usr/project/xtmp/ap843/hf_datasets/matplotlib_code_image_pairs")["train"]
Load from the Hugging Face Hub after pushing:
from datasets import load_dataset
ds = load_dataset("ajayvikram/matplotlib-code-image", split="train")
License And Attribution
This dataset is derived from Matplotlib gallery examples. The card metadata uses license: other with
license_name: matplotlib-license and license_link: https://matplotlib.org/stable/project/license.html because the Matplotlib project uses a
project-specific license rather than a standard Hugging Face license identifier. The official Matplotlib license
permits use, distribution, and derivative works provided the Matplotlib copyright notice and license agreement
are retained. This is an interpretation of the official license page, not legal advice.
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