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Commit 70a296d

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dstansbydstansby
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isort examples
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‎.pre-commit-config.yaml

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- id: isort
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name: isort (python)
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args: ['--force-sort-within-sections', 'true']
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files: ^tutorials/
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files: ^tutorials/|^examples/

‎examples/animation/animate_decay.py

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import itertools
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import matplotlib.pyplot as plt
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def data_gen():

‎examples/animation/animated_histogram.py

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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import matplotlib.pyplot as plt
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# Fixing random state for reproducibility
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np.random.seed(19680801)

‎examples/animation/animation_demo.py

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Output generate via `matplotlib.animation.Animation.to_jshtml`.
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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import matplotlib.pyplot as plt
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np.random.seed(19680801)
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data = np.random.random((50, 50, 50))
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‎examples/animation/bayes_update.py

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import math
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.animation import FuncAnimation
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import matplotlib.pyplot as plt
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def beta_pdf(x, a, b):

‎examples/animation/double_pendulum.py

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Output generate via `matplotlib.animation.Animation.to_jshtml`.
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"""
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from numpy import sin, cos
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from collections import deque
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import numpy as np
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import matplotlib.pyplot as plt
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from numpy import cos, sin
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import matplotlib.animation as animation
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from collections import deque
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import matplotlib.pyplot as plt
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G = 9.8 # acceleration due to gravity, in m/s^2
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L1 = 1.0 # length of pendulum 1 in m

‎examples/animation/dynamic_image.py

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"""
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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‎examples/animation/frame_grabbing_sgskip.py

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"""
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import numpy as np
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import matplotlib
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matplotlib.use("Agg")
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import matplotlib.pyplot as plt
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from matplotlib.animation import FFMpegWriter
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import matplotlib.pyplot as plt
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# Fixing random state for reproducibility
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np.random.seed(19680801)

‎examples/animation/multiple_axes.py

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"""
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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from matplotlib.patches import ConnectionPatch
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import matplotlib.pyplot as plt
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fig, (axl, axr) = plt.subplots(
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ncols=2,

‎examples/animation/pause_resume.py

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Output generate via `matplotlib.animation.Animation.to_jshtml`.
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"""
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import numpy as np
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import matplotlib.animation as animation
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import matplotlib.pyplot as plt
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class PauseAnimation:
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def __init__(self):

‎examples/animation/rain.py

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"""
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib.animation import FuncAnimation
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import matplotlib.pyplot as plt
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# Fixing random state for reproducibility
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np.random.seed(19680801)

‎examples/animation/random_walk.py

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"""
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import matplotlib.pyplot as plt
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# Fixing random state for reproducibility
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np.random.seed(19680801)

‎examples/animation/simple_anim.py

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"""
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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‎examples/animation/simple_scatter.py

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Output generate via `matplotlib.animation.Animation.to_jshtml`.
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"""
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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ax.set_xlim([0, 10])

‎examples/animation/strip_chart.py

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"""
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import numpy as np
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import matplotlib.animation as animation
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from matplotlib.lines import Line2D
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import matplotlib.pyplot as plt
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class Scope:

‎examples/animation/unchained.py

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"""
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import numpy as np
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import matplotlib.animation as animation
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# Fixing random state for reproducibility
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np.random.seed(19680801)

‎examples/axes_grid1/demo_anchored_direction_arrows.py

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========================
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"""
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import matplotlib.pyplot as plt
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import numpy as np
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from mpl_toolkits.axes_grid1.anchored_artists import AnchoredDirectionArrows
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import matplotlib.font_manager as fm
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import numpy as np
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import matplotlib.font_manager as fm
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import matplotlib.pyplot as plt
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# Fixing random state for reproducibility
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np.random.seed(19680801)

‎examples/axes_grid1/demo_axes_divider.py

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def demo_locatable_axes_hard(fig):
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from mpl_toolkits.axes_grid1 import SubplotDivider, Size
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from mpl_toolkits.axes_grid1 import Size, SubplotDivider
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from mpl_toolkits.axes_grid1.mpl_axes import Axes
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divider = SubplotDivider(fig, 2, 2, 2, aspect=True)

‎examples/axes_grid1/demo_axes_grid.py

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Grid of 2x2 images with a single colorbar or with one colorbar per axes.
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"""
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from matplotlib import cbook
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import matplotlib.pyplot as plt
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from mpl_toolkits.axes_grid1 import ImageGrid
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from matplotlib import cbook
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import matplotlib.pyplot as plt
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Z = cbook.get_sample_data( # (15, 15) array
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"axes_grid/bivariate_normal.npy", np_load=True)

‎examples/axes_grid1/demo_axes_grid2.py

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Grid of images with shared xaxis and yaxis.
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"""
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from mpl_toolkits.axes_grid1 import ImageGrid
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import numpy as np
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from matplotlib import cbook
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import matplotlib.colors
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import matplotlib.pyplot as plt
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def add_inner_title(ax, title, loc, **kwargs):

‎examples/axes_grid1/demo_axes_hbox_divider.py

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"""
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import numpy as np
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import matplotlib.pyplot as plt
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from mpl_toolkits.axes_grid1.axes_divider import HBoxDivider, VBoxDivider
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import mpl_toolkits.axes_grid1.axes_size as Size
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import numpy as np
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arr1 = np.arange(20).reshape((4, 5))
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arr2 = np.arange(20).reshape((5, 4))

‎examples/axes_grid1/demo_axes_rgb.py

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channels.
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"""
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from mpl_toolkits.axes_grid1.axes_rgb import RGBAxes, make_rgb_axes
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import numpy as np
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from matplotlib import cbook
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import matplotlib.pyplot as plt
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from mpl_toolkits.axes_grid1.axes_rgb import make_rgb_axes, RGBAxes
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def get_rgb():

‎examples/axes_grid1/demo_colorbar_of_inset_axes.py

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===============================
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"""
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from mpl_toolkits.axes_grid1.inset_locator import inset_axes, zoomed_inset_axes
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from matplotlib import cbook
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots(figsize=[5, 4])
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ax.set(aspect=1, xlim=(-15, 15), ylim=(-20, 5))

‎examples/axes_grid1/demo_colorbar_with_axes_divider.py

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uses `.append_axes` to add colorbars next to axes.
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"""
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from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
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import matplotlib.pyplot as plt
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fig, (ax1, ax2) = plt.subplots(1, 2)
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fig.subplots_adjust(wspace=0.5)
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‎examples/axes_grid1/demo_colorbar_with_inset_locator.py

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work in the same way, and are also demonstrated here.
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"""
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from mpl_toolkits.axes_grid1.inset_locator import inset_axes
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fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[6, 3])
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im1 = ax1.imshow([[1, 2], [2, 3]])

‎examples/axes_grid1/demo_edge_colorbar.py

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of an image grid.
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"""
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def get_demo_image():

‎examples/axes_grid1/demo_fixed_size_axes.py

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===============================
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"""
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# %%
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‎examples/axes_grid1/demo_imagegrid_aspect.py

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=========================================
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"""
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fig = plt.figure()
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grid1 = ImageGrid(fig, 121, (2, 2), axes_pad=0.1,

‎examples/axes_grid1/inset_locator_demo.py

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# By default, the inset is offset by some points from the axes,
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# controlled via the *borderpad* parameter.
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fig, (ax, ax2) = plt.subplots(1, 2, figsize=[5.5, 2.8])
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# Create an inset horizontally centered in figure coordinates and vertically
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# bound to line up with the axes.
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from matplotlib.transforms import blended_transform_factory # noqa
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transform = blended_transform_factory(fig.transFigure, ax2.transAxes)
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axins4 = inset_axes(ax2, width="16%", height="34%",
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bbox_to_anchor=(0, 0, 1, 1),

‎examples/axes_grid1/inset_locator_demo2.py

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:doc:`/gallery/subplots_axes_and_figures/zoom_inset_axes`.
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"""
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from matplotlib import cbook
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from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes, mark_inset
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from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
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def get_demo_image():
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z = cbook.get_sample_data("axes_grid/bivariate_normal.npy", np_load=True)

‎examples/axes_grid1/make_room_for_ylabel_using_axesgrid.py

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====================================
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"""
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fig = plt.figure()
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ax = fig.add_axes([0, 0, 1, 1])

‎examples/axes_grid1/parasite_simple.py

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===============
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"""
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import matplotlib.pyplot as plt
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host = host_subplot(111)
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par = host.twinx()
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