Demonstration of a basic scatterplot in 3D. Calling pyplot.savefig afterwards would save a new and thus empty figure. Shared Axis#. References. The histogram method returns (among other things) a patches object. random. These may be a bit strong when applied to fill areas. Reference for colormaps included with Matplotlib. In this example, sliders are used to control the frequency and amplitude of a sine wave. Click here to download the full example code. Notes. matplotlib.pyplot.figure# matplotlib.pyplot. import matplotlib.pyplot as plt import numpy as np # Fixing random state for reproducibility np. AnnotationBbox creates an annotation using an OffsetBox, and provides more fine-grained control than Axes.annotate.This example demonstrates the use of AnnotationBbox together with three different OffsetBoxes: TextArea, Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family You can share the x or y axis limits for one axis with another by passing an Axes instance as a sharex or sharey keyword argument.. Changing the axis limits on one axes will be reflected automatically in the other, and vice-versa, so when you navigate with the toolbar the Axes will follow each other on their shared axis. Scales#. Using multiple coordinate systems and axis types#. Click here to download the full example code. Shared Axis#. Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family T im3 = np. arange (100). If you want an image file as well as a user interface window, use pyplot.savefig before pyplot.show.At the end of (a blocking) show() the figure is closed and thus unregistered from pyplot. Plots with different scales#. Event handling#. For example, suppose y represents depth of the ocean in m. The y-axis limits might be set like the following so 5000 m depth is at the bottom of the plot and the surface, 0 m, is at the top. This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event annotate (text, xy, xytext = None, xycoords = 'data', textcoords = None, arrowprops = None, annotation_clip = None, ** kwargs) [source] # Annotate the point xy with text text.. References. You can share the x or y axis limits for one axis with another by passing an Axes instance as a sharex or sharey keyword argument.. Changing the axis limits on one axes will be reflected automatically in the other, and vice-versa, so when you navigate with the toolbar the Axes will follow each other on their shared axis. annotation_clip bool or None, default: None. Using the helper function code style#. Description. Slider#. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.pyplot.hist. This plots a list of the named colors supported in matplotlib. For a polar axes, this is in (theta, radius) space. The last two examples are examples of using the 'function' scale by supplying forward and inverse functions for the scale transformation. Such axes are generated by calling the Axes.twinx method. rand (30) *.2 # Now let's make two outlier points which are far away from everything. Note. Reference for colormaps included with Matplotlib. In the example below, the xy point is in native coordinates (xycoords defaults to 'data'). A unique identifier for the figure. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.pyplot.hist. The x-axis limits might be set like the following so 5000 years ago is on the left of the plot and the present is on the right. B Simple ImageGrid#. Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family; Using a ttf font file in Matplotlib; Font table; Fonts demo (object-oriented style) matplotlib.widgets.Cursor. Hatch demo#. For more information on colors in matplotlib see. log, symlog, logit. You can specify the xypoint and the xytext in different positions and coordinate systems, and optionally turn on a connecting line and mark the point with a marker. The last two examples are examples of using the 'function' scale by supplying forward and inverse functions for the scale transformation. Simple ImageGrid#. matplotlib.pyplot.annotate# matplotlib.pyplot. fliplr (im2) fig = plt. annotate (text, xy, xytext = None, xycoords = 'data', textcoords = None, arrowprops = None, annotation_clip = None, ** kwargs) [source] # Annotate the point xy with text text.. As discussed in the Coding styles one might want to reuse such code to create some kind of heatmap for different input data and/or on different axes. not draw) the annotation when the annotation point xy is outside the axes area. matplotlib.axes.Axes.text The use of the following functions, methods, classes and modules is shown in this example: matplotlib.axes.Axes.scatter / matplotlib.pyplot.scatter Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family; Using a ttf font file in Matplotlib; Font table; Fonts demo (object-oriented style) matplotlib.widgets.Cursor. References. This example displays the difference between interpolation methods for imshow. Limits may be passed in reverse order to flip the direction of the x-axis. This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event Updating histogram colors#. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.axes.Axes.plot / matplotlib.pyplot.plot. Updating histogram colors#. Notes. The binding can be selected by setting the QT_API environment variable to the binding name, or by first importing it. Property. annotation_clip bool or None, default: None. A reversed version of each of these colormaps is available by appending _r to the name, as shown in Reversed colormaps. Interpolations for imshow#. Example: Confidence bands#. Event handling#. In the example below, the xy point is in native coordinates (xycoords defaults to 'data'). Likewise, Axes.twiny is available to Notes. Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family; Using a ttf font file in Matplotlib; Font table; Fonts demo (object-oriented style) matplotlib.widgets.Cursor. log, symlog, logit. reshape ((10, 10)) im2 = im1. B If interpolation is None, it defaults to the rcParams["image.interpolation"] (default: 'antialiased').If the interpolation is 'none', then no interpolation is performed for the Agg, ps and pdf backends.Other backends will default to 'antialiased'. Calling pyplot.savefig afterwards would save a new and thus empty figure. Event handling#. figure (num=None, figsize=None, dpi=None, *, facecolor=None, edgecolor=None, frameon=True, FigureClass=, clear=False, **kwargs) [source] # Create a new figure, or activate an existing figure. For a polar axes, this is in (theta, radius) space. reshape ((10, 10)) im2 = im1. Matplotlib supports event handling with a GUI neutral event model, so you can connect to Matplotlib events without knowledge of what user interface Matplotlib will ultimately be plugged in to. Matplotlib caches processed TeX expressions, so that only the first occurrence of an expression triggers a TeX compilation. References. reshape ((10, 10)) im2 = im1. Colormap reference#. Two plots on the same axes with different left and right scales. This limitation of command order does not apply if Later occurrences reuse the rendered image from the cache and are thus faster. Simple ImageGrid#. Helper Function for Plotting# First we define a helper function for making a table of colors, then we use it on some common color categories. Note. These may be a bit strong when applied to fill areas. Likewise, Axes.twiny is available to As discussed in the Coding styles one might want to reuse such code to create some kind of heatmap for different input data and/or on different axes. log, symlog, logit. random. Example: Confidence bands#. rand (30) *.2 # Now let's make two outlier points which are far away from everything. pts [[3, 14]] +=.8 # If we were to simply plot pts, we'd lose most of the interesting # Using this, we can edit the histogram to our liking. import matplotlib.pyplot as plt import numpy as np # Fixing random state for reproducibility np. A reversed version of each of these colormaps is available by appending _r to the name, as shown in Reversed colormaps. For a polar axes, this is in (theta, radius) space. References. Click here to download the full example code. Description. Illustrate the scale transformations applied to axes, e.g. Download Python source code: cursor.py. random. For example, suppose y represents depth of the ocean in m. The y-axis limits might be set like the following so 5000 m depth is at the bottom of the plot and the surface, 0 m, is at the top. Parameters: num int or str or Figure or SubFigure, optional. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.axes.Axes.scatter / matplotlib.pyplot.scatter Example: Confidence bands#. Limits may be passed in reverse order to flip the direction of the y-axis. Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family flipud (im1) im4 = np. A unique identifier for the figure. Using this, we can edit the histogram to our liking. random. Python . annotate (text, xy, xytext = None, xycoords = 'data', textcoords = None, arrowprops = None, annotation_clip = None, ** kwargs) [source] # Annotate the point xy with text text.. matplotlib.axes.Axes.bar_label / matplotlib.pyplot.bar_label Total running time of the script: ( 0 minutes 1.031 seconds) Download Python source code: bar_label_demo.py import matplotlib.pyplot as plt import numpy as np # Fixing random state for reproducibility np. Saving figures to file and showing a window at the same time. the Specifying Colors tutorial; the matplotlib.colors API; the Color Demo. The x-axis limits might be set like the following so 5000 years ago is on the left of the plot and the present is on the right. a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image Two plots on the same axes with different left and right scales. This plots a list of the named colors supported in matplotlib. A common application for fill_between is the indication of confidence bands.. fill_between uses the colors of the color cycle as the fill color. If True, the annotation will be clipped when xy is outside the axes. A unique identifier for the figure. Interpolations for imshow#. Helper Function for Plotting# First we define a helper function for making a table of colors, then we use it on some common color categories. The main difference with the previous plots is the configuration of the theta start and end limits, producing a sector instead of a full circle. Align multiple images using ImageGrid.. import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import ImageGrid import numpy as np im1 = np. flipud (im1) im4 = np. matplotlib.axes.Axes.text figure (num=None, figsize=None, dpi=None, *, facecolor=None, edgecolor=None, frameon=True, FigureClass=, clear=False, **kwargs) [source] # Create a new figure, or activate an existing figure. If interpolation is None, it defaults to the rcParams["image.interpolation"] (default: 'antialiased').If the interpolation is 'none', then no interpolation is performed for the Agg, ps and pdf backends.Other backends will default to 'antialiased'. AnnotationBbox demo#. Demonstration of a basic scatterplot in 3D. pts [[3, 14]] +=.8 # If we were to simply plot pts, we'd lose most of the interesting # Likewise, Axes.twiny is available to Plots with different scales#. Description. Scatter plot on polar axis confined to a sector#. Colormap reference#. seed (19680801) def randrange (n, vmin, vmax): """ Helper function to make an array of random numbers having shape (n, ) with each number distributed rand (30) *.2 # Now let's make two outlier points which are far away from everything. References. If False, the annotation will always be drawn. figure (figsize = (4., 4.)) References. Demonstration of a basic scatterplot in 3D. Simple Qt application embedding Matplotlib canvases. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.pyplot.figure. random. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.axes.Axes.pie / matplotlib.pyplot.pie Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family import numpy as np import matplotlib.pyplot as plt np. import numpy as np import matplotlib.pyplot as plt np. Limits may be passed in reverse order to flip the direction of the y-axis. Using multiple coordinate systems and axis types#. Click here to download the full example code. figure (figsize = (4., 4.)) This example displays the difference between interpolation methods for imshow. not draw) the annotation when the annotation point xy is outside the axes area. seed (19680801) pts = np. Such axes are generated by calling the Axes.twinx method. matplotlib.pyplot.xlabel References. agg_filter. Updating histogram colors#. Illustrate the scale transformations applied to axes, e.g. matplotlib.pyplot.figure# matplotlib.pyplot. References. arange (100). Download Jupyter notebook: cursor.ipynb. The last two examples are examples of using the 'function' scale by supplying forward and inverse functions for the scale transformation. For more information on colors in matplotlib see. matplotlib.axes.Axes.bar_label / matplotlib.pyplot.bar_label Total running time of the script: ( 0 minutes 1.031 seconds) Download Python source code: bar_label_demo.py See Choosing Colormaps in Matplotlib for an in-depth discussion about colormaps, including colorblind-friendliness, and Creating Colormaps in Matplotlib for a guide to creating Matplotlib supports event handling with a GUI neutral event model, so you can connect to Matplotlib events without knowledge of what user interface Matplotlib will ultimately be plugged in to. Click here to download the full example code. For more information on colors in matplotlib see. Matplotlib supports event handling with a GUI neutral event model, so you can connect to Matplotlib events without knowledge of what user interface Matplotlib will ultimately be plugged in to. We create a function that takes the data and the row and column labels as input, and allows arguments that are used to customize the plot Note. 3D scatterplot#. fliplr (im2) fig = plt. This plots a list of the named colors supported in matplotlib. Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family This example displays the difference between interpolation methods for imshow. matplotlib.pyplot.figure# matplotlib.pyplot. Using the helper function code style#. matplotlib.pyplot.annotate# matplotlib.pyplot. Such axes are generated by calling the Axes.twinx method. Whether to clip (i.e. Hatch demo#. flipud (im1) im4 = np. A common application for fill_between is the indication of confidence bands.. fill_between uses the colors of the color cycle as the fill color. not draw) the annotation when the annotation point xy is outside the axes area. Matplotlib caches processed TeX expressions, so that only the first occurrence of an expression triggers a TeX compilation. A common application for fill_between is the indication of confidence bands.. fill_between uses the colors of the color cycle as the fill color. matplotlib.axes.Axes.text References. Download Python source code: cursor.py. This gives us access to the properties of the objects drawn. arange (100). Shared Axis#. Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family See Choosing Colormaps in Matplotlib for an in-depth discussion about colormaps, including colorblind-friendliness, and Creating Colormaps in Matplotlib for a guide to creating T im3 = np. This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event A reversed version of each of these colormaps is available by appending _r to the name, as shown in Reversed colormaps. a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image The trick is to use two different axes that share the same x axis. Annotations work on polar axes too. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.pyplot.figure. Colormap reference#. The histogram method returns (among other things) a patches object. Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family matplotlib.pyplot.annotate# matplotlib.pyplot. See Snapping Sliders to Discrete Values for an example of having the Slider snap to discrete values.. See Thresholding an Image with RangeSlider for an example of using a RangeSlider to define a range of values. This gives us access to the properties of the objects drawn. Scales#. This program will work equally well using any Qt binding (PyQt6, PySide6, PyQt5, PySide2). The binding can be selected by setting the QT_API environment variable to the binding name, or by first importing it. matplotlib.pyplot.xlabel The use of the following functions, methods, classes and modules is shown in this example: matplotlib.axes.Axes.pie / matplotlib.pyplot.pie You can share the x or y axis limits for one axis with another by passing an Axes instance as a sharex or sharey keyword argument.. Changing the axis limits on one axes will be reflected automatically in the other, and vice-versa, so when you navigate with the toolbar the Axes will follow each other on their shared axis. You can specify the xypoint and the xytext in different positions and coordinate systems, and optionally turn on a connecting line and mark the point with a marker. If False, the annotation will always be drawn. Python . seed (19680801) def randrange (n, vmin, vmax): """ Helper function to make an array of random numbers having shape (n, ) with each number distributed random. If True, the annotation will be clipped when xy is outside the axes. This program will work equally well using any Qt binding (PyQt6, PySide6, PyQt5, PySide2). Using this, we can edit the histogram to our liking. matplotlib.axes.Axes.bar_label / matplotlib.pyplot.bar_label Total running time of the script: ( 0 minutes 1.031 seconds) Download Python source code: bar_label_demo.py Helper Function for Plotting# First we define a helper function for making a table of colors, then we use it on some common color categories. Note. Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family random. You can use separate matplotlib.ticker formatters and locators as desired since the two axes are independent.. References. Property. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.axes.Axes.plot / matplotlib.pyplot.plot. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.pyplot.figure. The x-axis limits might be set like the following so 5000 years ago is on the left of the plot and the present is on the right. figure (num=None, figsize=None, dpi=None, *, facecolor=None, edgecolor=None, frameon=True, FigureClass=, clear=False, **kwargs) [source] # Create a new figure, or activate an existing figure. Limits may be passed in reverse order to flip the direction of the x-axis. You can use separate matplotlib.ticker formatters and locators as desired since the two axes are independent.. seed (19680801) pts = np. Parameters: num int or str or Figure or SubFigure, optional. agg_filter. agg_filter. This limitation of command order does not apply if This gives us access to the properties of the objects drawn. Later occurrences reuse the rendered image from the cache and are thus faster. Plots with different scales#. For example, suppose x represents the number of years before present. Whether to clip (i.e. See Choosing Colormaps in Matplotlib for an in-depth discussion about colormaps, including colorblind-friendliness, and Creating Colormaps in Matplotlib for a guide to creating import numpy as np import matplotlib.pyplot as plt np. You can specify the xypoint and the xytext in different positions and coordinate systems, and optionally turn on a connecting line and mark the point with a marker. Matplotlib caches processed TeX expressions, so that only the first occurrence of an expression triggers a TeX compilation. Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family We create a function that takes the data and the row and column labels as input, and allows arguments that are used to customize the plot Using multiple coordinate systems and axis types#. See Snapping Sliders to Discrete Values for an example of having the Slider snap to discrete values.. See Thresholding an Image with RangeSlider for an example of using a RangeSlider to define a range of values. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.axes.Axes.plot / matplotlib.pyplot.plot. Note. Slider#. matplotlib.pyplot.xlabel If you want an image file as well as a user interface window, use pyplot.savefig before pyplot.show.At the end of (a blocking) show() the figure is closed and thus unregistered from pyplot. 3D scatterplot#. Interpolations for imshow#. Hatches can be added to most polygons in Matplotlib, including bar, fill_between, contourf, and children of Polygon.They are currently supported in the PS, PDF, SVG, OSX, and Agg backends. If True, the annotation will be clipped when xy is outside the axes. AnnotationBbox demo#. Download Jupyter notebook: cursor.ipynb. seed (19680801) def randrange (n, vmin, vmax): """ Helper function to make an array of random numbers having shape (n, ) with each number distributed We create a function that takes the data and the row and column labels as input, and allows arguments that are used to customize the plot the Specifying Colors tutorial; the matplotlib.colors API; the Color Demo. Annotations work on polar axes too. References. Property. Align multiple images using ImageGrid.. import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import ImageGrid import numpy as np im1 = np. Scatter plot on polar axis confined to a sector#. Python . Calling pyplot.savefig afterwards would save a new and thus empty figure. Saving figures to file and showing a window at the same time. Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family Hatches can be added to most polygons in Matplotlib, including bar, fill_between, contourf, and children of Polygon.They are currently supported in the PS, PDF, SVG, OSX, and Agg backends. Download Jupyter notebook: cursor.ipynb. the Specifying Colors tutorial; the matplotlib.colors API; the Color Demo. You can use separate matplotlib.ticker formatters and locators as desired since the two axes are independent.. These may be a bit strong when applied to fill areas. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.axes.Axes.scatter / matplotlib.pyplot.scatter Hatch demo#. If you want an image file as well as a user interface window, use pyplot.savefig before pyplot.show.At the end of (a blocking) show() the figure is closed and thus unregistered from pyplot. Whether to clip (i.e. The main difference with the previous plots is the configuration of the theta start and end limits, producing a sector instead of a full circle. Annotation Polar; Arrow Demo; Auto-wrapping text; Composing Custom Legends; Date tick labels; AnnotationBbox demo; Using a text as a Path; Text Rotation Mode; The difference between \dfrac and \frac; Labeling ticks using engineering notation; Annotation arrow style reference; Styling text boxes; Figure legend demo; Configuring the font family If False, the annotation will always be drawn. AnnotationBbox creates an annotation using an OffsetBox, and provides more fine-grained control than Axes.annotate.This example demonstrates the use of AnnotationBbox together with three different OffsetBoxes: TextArea, This limitation of command order does not apply if For example, suppose x represents the number of years before present. The trick is to use two different axes that share the same x axis. annotation_clip bool or None, default: None. Limits may be passed in reverse order to flip the direction of the x-axis. Align multiple images using ImageGrid.. import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import ImageGrid import numpy as np im1 = np. random. Two plots on the same axes with different left and right scales. random. Download Python source code: cursor.py. fliplr (im2) fig = plt. In the example below, the xy point is in native coordinates (xycoords defaults to 'data'). Slider#. figure (figsize = (4., 4.)) Hatches can be added to most polygons in Matplotlib, including bar, fill_between, contourf, and children of Polygon.They are currently supported in the PS, PDF, SVG, OSX, and Agg backends. The use of the following functions, methods, classes and modules is shown in this example: matplotlib.pyplot.hist. The histogram method returns (among other things) a patches object. In this example, sliders are used to control the frequency and amplitude of a sine wave. It is therefore often a good practice to lighten the color by making the area semi-transparent using alpha. In this example, sliders are used to control the frequency and amplitude of a sine wave. For example, suppose y represents depth of the ocean in m. The y-axis limits might be set like the following so 5000 m depth is at the bottom of the plot and the surface, 0 m, is at the top. & p=dfffab8818fede8dJmltdHM9MTY2Nzc3OTIwMCZpZ3VpZD0yYzI5YjA1ZC1hODBlLTY4YmUtMjRjMC1hMjBiYTlhNDY5ZmQmaW5zaWQ9NTUxNw & ptn=3 & hsh=3 & fclid=2c29b05d-a80e-68be-24c0-a20ba9a469fd & psq=matplotlib+cursor+annotation & u=a1aHR0cHM6Ly9tYXRwbG90bGliLm9yZy9zdGFibGUvZ2FsbGVyeS9zdGF0aXN0aWNzL2hpc3QuaHRtbA & ntb=1 >! & p=16fb5b44acea8eb2JmltdHM9MTY2Nzc3OTIwMCZpZ3VpZD0yYzI5YjA1ZC1hODBlLTY4YmUtMjRjMC1hMjBiYTlhNDY5ZmQmaW5zaWQ9NTgwNw & ptn=3 & hsh=3 & fclid=2c29b05d-a80e-68be-24c0-a20ba9a469fd & psq=matplotlib+cursor+annotation & u=a1aHR0cHM6Ly9tYXRwbG90bGliLm9yZy9zdGFibGUvZ2FsbGVyeS9zdWJwbG90c19heGVzX2FuZF9maWd1cmVzL3NoYXJlZF9heGlzX2RlbW8uaHRtbA & ntb=1 '' > Dark /a. Ntb=1 '' > matplotlib.axes.Axes.text < /a > References window at the same axis! A patches object when the annotation when the annotation point xy is outside the axes use of objects! U=A1Ahr0Chm6Ly9Tyxrwbg90Bglilm9Yzy9Zdgfibguvz2Fsbgvyes93Awrnzxrzl2N1Cnnvci5Odg1S & ntb=1 '' > Matplotlib < /a > References functions,,. Often a good practice to lighten the color Demo u=a1aHR0cHM6Ly9tYXRwbG90bGliLm9yZy9zdGFibGUvZ2FsbGVyeS93aWRnZXRzL2N1cnNvci5odG1s & ntb=1 '' > Slider # & p=540bf490c26502ffJmltdHM9MTY2Nzc3OTIwMCZpZ3VpZD0yYzI5YjA1ZC1hODBlLTY4YmUtMjRjMC1hMjBiYTlhNDY5ZmQmaW5zaWQ9NTM5Nw & ptn=3 & hsh=3 & &! & ntb=1 '' > Matplotlib < /a > References outlier points which are far away from everything later reuse. 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