This is default: Demo initial: Sets this property to its default value. I will try to help you as soon as possible. However this by default labels the axes with the pixel count. Well just use theplt.cm.BuPmcolor map to fill two lists of colors, one for every row header cell and another for every column header cell. How to Create Different Subplot Sizes in Matplotlib? This is default: Demo initial: Sets this property to its default value. Overlapping Histograms with Matplotlib in Python. A list of extra artists that will be considered when the tight bbox is calculated. First import Matplotlib.pyplot How to Change the Transparency of a Graph Plot in Matplotlib with Python? This property can have from one to four values. Working with Images in Python using Matplotlib, Python | Working with PNG Images using Matplotlib. Definition and Usage. By using our site, you contourf (x, y, data, *args, **kwargs) Make a filled contour plot over the map (see matplotlib.pyplot.contourf documentation). For making a horizontal line we have to change the value of the x-axis continuously by taking the y-axis as constant. grid-row-start; grid-column-start; grid-row-end; grid-column-end; The grid-area property can also be used to assign a name to a grid item. Read about inherit The border-radius property defines the radius of the element's corners.. Dark background style sheet# This example demonstrates the "dark_background" style, which uses white for elements that are typically black (text, borders, etc). matplotlib.axes.Axes.set_ylabel# Axes. **kwargs are optional parameters to adjust for the size of the 2-d list passed as a parameter. set_title (label, fontdict = None, loc = None, pad = None, *, y = None, ** kwargs) [source] # Set a title for the Axes. Firstly, we created axes using plt.subplots(). How to change angle of 3D plot in Python? output. Plot Multiple Columns of Pandas Dataframe on Bar Chart with Matplotlib, Python - Convert simple lines to bulleted lines using the Pyperclip module, PyQtGraph - Getting Plot Item from Plot Window, Time Series Plot or Line plot with Pandas, Pandas Scatter Plot DataFrame.plot.scatter(), Python Bokeh - Plotting Multiple Lines on a Graph, Break a long line into multiple lines in Python, matplotlib.lines.VertexSelector class in Python, Draw a unstructured triangular grid as lines or markers in Python using Matplotlib, Plot multiple separate graphs for same data from one Python script. Matplotlib is a data visualization library in Python. If 'tight', try to figure out the tight bbox of the figure. contourf (x, y, data, *args, **kwargs) Make a filled contour plot over the map (see matplotlib.pyplot.contourf documentation). Showing your image with matplotlib.pyplot.imshow is generally a fast way to display 2D data. elements that are typically black (text, borders, etc). Set one of the three available Axes titles. More refined control can be achieved by providing a dash tuple (offset, (on_off_seq)).For example, (0, (3, 10, 1, 15)) means (3pt line, 10pt space, 1pt line, 15pt space) with no offset, while (5, (10, 3)), means (10pt line, 3pt space), but skip the first 5pt line. import matplotlib.pyplot as plt import numpy as np # Data for plotting t = np. Note: When using the opacity property to add transparency to the background of an element, all of its child elements become transparent as well. Matplotlib is a Python library that helps in visualizing and analyzing the data and helps in better understanding of the data with the help of graphical, pictorial visualizations that can be simulated using the matplotlib library. Definition and Usage. import matplotlib.pyplot as plt from matplotlib.collections import LineCollection from matplotlib import colors as mcolors import numpy as np # In order to efficiently plot many lines in a single set of axes, # Matplotlib has the ability to add the lines all at once. The grid-template-areas property specifies areas within the grid layout. In the previous example, we plotted a bar graph for the given dataset of mobile phones. How to Annotate Bars in Grouped Barplot in Python? The numbers in the table specify the first browser version that fully supports the property. The above code snippet is used to style row and column headers.lists of colors, one for every row header cell and another for every column header cell. Val1, val2 and val3 runs for loops each to generate values for column lables, row lables and cell text, respectively. The border-radius property defines the radius of the element's corners.. Dear all. Note: When using the opacity property to add transparency to the background of an element, all of its child elements become transparent as well. facecolor. this is unset is documented under fname. print_svg. Use a period sign to refer to a grid item with no name. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. "pdf". How to create multiple subplots in Matplotlib in Python? How to display the value of each bar in a bar chart using Matplotlib? matplotlib.axes.Axes.set_ylabel# Axes. Use a non-default backend to render the file, e.g. set_title (label, fontdict = None, loc = None, pad = None, *, y = None, ** kwargs) [source] # Set a title for the Axes. you must use a / (slash) to separate it from the bg-position property, e.g. Spacing in points from the Axes bounding box including ticks and tick labels. Tip: This property allows you to add rounded corners to elements! Free but high-quality portal to learn about languages like Python, Javascript, C++, GIT, and more. The grid-area property specifies a grid item's size and location in a grid layout, and is a shorthand property for the following properties:. How to manually add a legend with a color box on a Matplotlib figure ? The label text. Dont worry about these terms we will study them in detail in the below section but lets take a brief about these terms. container: Set the left margin for a

element to 2 em: Get certifiedby completinga course today! You can control the defaults of almost every property in matplotlib: figure size and dpi, line width, color and style, axes, axis and grid properties, text and font properties and so on. This webpage had helpful info and ideas for some graphics Im creating. The parameters passed are as follows:- cellText = val3, rowLabels = val2, colLabels = val1, rowColours =[palegreen] * 10, colColours =[palegreen] * 10, cellLoc =center, loc =upper left. This grid automatically adjusts to the size of pie charts. These parameters must be 2D lists, in which the outer lists define the rows and the inner list define the column values of each row. matplotlib.axes.Axes.set_ylabel# Axes. is no attempt to make the extension, if any, of fname match Lets discuss some concepts: Matplotlib: Matplotlib is an amazing visualization library in Python for 2D plots of arrays. You can control the defaults of almost every property in matplotlib: figure size and dpi, line width, color and style, axes, axis and grid properties, text and font properties and so on. Definition and Usage. Hide Axis, Borders and White Spaces in Matplotlib, Visualization of Merge sort using Matplotlib, Visualization of Quick sort using Matplotlib, 3D Visualisation of Quick Sort using Matplotlib in Python, 3D Visualisation of Merge Sort using Matplotlib, 3D Visualisation of Insertion Sort using Matplotlib in Python. How to Connect Scatterplot Points With Line in Matplotlib? Then we finally use plt.show() to display the matplotlib interface. Learn AI Learn Machine Learning Learn Data Science Learn NumPy Learn Pandas Learn SciPy Learn Matplotlib Learn Statistics Learn Excel Learn Google Sheets we presented a grid example with classes for small and medium devices. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. background:url(smiley.gif) 10px 20px/50px 50px; will result in a background image, positioned 10 pixels from the left, 20 pixels from the top, and the size of the image will be 50 pixels wide and 50 pixels high. Create a plot with Multiple Glyphs using Python Bokeh. If you want to report an error, or if you want to make a suggestion, do not hesitate to send us an e-mail: W3Schools is optimized for learning and training. A list of extra artists that will be considered when the matplotlib.backends.backend_pdf.PdfPages. Bootstrap Grid System Bootstrap viewport12 What you need to do is call plt.minorticks_on or ax.minorticks_on in addition to calling ax.grid(True, which='both'). Here are the rules: Four values - border-radius: 15px 50px 30px 5px; (first value applies to top-left corner, second value applies to top-right corner, third value applies to bottom If If tri is set to True, an unstructured grid is assumed (x,y,data must be 1-d) and matplotlib.pyplot.tricontour is used. Setting rowColours and colColours to palegreen changes the color of row and column header cells to palegreen. Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness of all content. sin (2 * np. Radially displace pie chart wedge in Matplotlib, Three-dimensional Plotting in Python using Matplotlib, 3D Scatter Plotting in Python using Matplotlib, 3D Surface plotting in Python using Matplotlib, 3D Wireframe plotting in Python using Matplotlib, 3D Contour Plotting in Python using Matplotlib, Tri-Surface Plot in Python using Matplotlib, Surface plots and Contour plots in Python. But at the time when the release of 1.0 occurred, the 3d utilities were developed upon the 2d and thus, we have 3d implementation of data available today! The table can optionally have row and column headers. In the following example, well use the data of mobile phone usage in 2010, 2012, 2014, and 2016 years. Bootstrap Grid Example: Stacked-to-horizontal We will create a basic grid system that starts out stacked on extra small devices, before becoming horizontal on larger devices. of valid text properties. The grid-area property specifies a grid item's size and location in a grid layout, and is a shorthand property for the following properties:. In addition, links can be styled differently depending on what state they are in.. original values upon exit of this function. Here we will use two lists as data with two dimensions (x and y) and at last plot the lines as different dimensions and functions over the same data. Named grid items can then be referenced to by the grid-template-areas property of Then we can use either loop through those points or plot each pie independently. Matplotlib take care of the creation of inbuilt defaults like Figure and Axes. Read about initial: inherit: Inherits this property from its parent element. The four links states are: a:link - a normal, unvisited link; a:visited - a link the user has visited; a:hover - a link when the user mouses over it; a:active - a link the moment it is clicked How to Set Plot Background Color in Matplotlib? How to Set Tick Labels Font Size in Matplotlib? Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more. Matplotlib take care of the creation of inbuilt defaults like Figure and Axes. If 'figure', use the figure's grid-row-start; grid-column-start; grid-row-end; grid-column-end; The grid-area property can also be used to assign a name to a grid item. Dark background style sheet# This example demonstrates the "dark_background" style, which uses white for elements that are typically black (text, borders, etc). It generates a table used as an extension to a stacked bar chart. The explanation is similar to the previous one. How can we modify the height of the cells in each row? This property can have from one to four values. In the above code snippet,Sky blue is the background color and the figure border is set to steel blue. The last two examples are examples of using the 'function' scale by supplying forward and inverse functions for the scale transformation. Each area is defined by apostrophes. You can name grid items by using the grid-area property, and then reference to the name in the grid-template-areas property. Showing your image with matplotlib.pyplot.imshow is generally a fast way to display 2D data. Default value is 0px. Refer to this article for any queries related to tables. import matplotlib.pyplot as plt from matplotlib.collections import LineCollection from matplotlib import colors as mcolors import numpy as np # In order to efficiently plot many lines in a single set of axes, # Matplotlib has the ability to add the lines all at once. Lets discuss some concepts: Matplotlib: Matplotlib is an amazing visualization library in Python for 2D plots of arrays. pi * t) fig, ax = plt. Bootstrap Grid Example: Stacked-to-horizontal We will create a basic grid system that starts out stacked on extra small devices, before becoming horizontal on larger devices. Please use ide.geeksforgeeks.org, In the following example, well use the data of mobile phone usage in 2010, 2012, 2014, and 2016 years. Definition and Usage. Line graphs are better to get an idea of trends in a dataset. The available titles are positioned above the Axes in the center, flush Before we move on with various examples and formatting of tables, let me just brief you about the syntax and return type of the Matplotlib table function. Installation of matplotlib library Delf Stack is a learning website of different programming languages. The available titles (This is a design bug / common gotcha.) arguments in which case those colors are used). import matplotlib.pyplot as plt from matplotlib.collections import LineCollection from matplotlib import colors as mcolors import numpy as np # In order to efficiently plot many lines in a single set of axes, # Matplotlib has the ability to add the lines all at once. You can name grid items by using the grid-area property, and then reference to the name in the grid-template-areas property. The label text. The matplotlib.pylot.table() method returns the table created passing the required data as parameters. and/or edgecolor are specified via kwargs. In the above example, matplotlib.pyplot.table() accepts the 2-d list as the parameter. The numbers in the table specify the first browser version that fully supports the property. pi * t) fig, ax = plt. Scales#. Here we will use two list as data with two dimensions (x and y) and at last plot the line with respect to the dimensions. plot (t, s) ax. Python Pool is a platform where you can learn and become an expert in every aspect of Python programming language as well as in AI, ML, and Data Science. Dont worry about these terms we will study them in detail in the below section but lets take a brief about these terms. Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. Plot a pie chart in Python using Matplotlib. More refined control can be achieved by providing a dash tuple (offset, (on_off_seq)).For example, (0, (3, 10, 1, 15)) means (3pt line, 10pt space, 1pt line, 15pt space) with no offset, while (5, (10, 3)), means (10pt line, 3pt space), but skip the first 5pt line. Next, we create a table object by passing appropriate parameters. Lets discuss some concepts: Matplotlib: Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Key/value pairs to store in the image metadata. Line charts are used to represent the relation between two data X and Y on a different axis.Here we will see some of the examples of a line chart in Python : Simple line plots. Here we will use different line styles which are as follows: Writing code in comment? This example demonstrates the "dark_background" style, which uses white for edgecolor. The offset of the title from the top of the Axes, in points. Lets have a look at the syntax and full explanation of code . set (xlabel = 'time (s)', ylabel = 'voltage (mV)', title = 'About as simple as it gets, But at the time when the release of 1.0 occurred, the 3d utilities were developed upon the 2d and thus, we have 3d implementation of data available today! background:url(smiley.gif) 10px 20px/50px 50px; will result in a background image, positioned 10 pixels from the left, 20 pixels from the top, and the size of the image will be 50 pixels wide and 50 pixels high. See Demo transparent: Specifies that the background color should be transparent. In this example, we will learn how to draw a horizontal line and a vertical line both in one graph with the help of matplotlib. This is useful, for example, for displaying PdfPages. Matplotlib is a comprehensive library for static, animated and interactive visualizations. Tip: This property allows you to add rounded corners to elements! Inherits this property from its parent element. The table have rows of Make Calls, Take Photos, Texting, Internet and Playing Games. Get certifiedby completinga course today! How to create a Scatter Plot with several colors in Matplotlib? If 'auto', use the current figure Matplotlib.pyplot.grid() in Python >>> More Functions on Pyplot class. for: It does not matter if one of the values above are missing, e.g. matplotlib.axes.Axes.set_title# Axes. Figure patches are unchanged (unless the Figure patch Read about initial: inherit: Inherits this property from its parent element. Free but high-quality portal to learn about languages like Python, Javascript, C++, GIT, and more. Spacing in points from the Axes bounding box including ticks and tick labels. If you do not want to apply opacity to child elements, use RGBA color values instead (See "More Examples" below). Any other dimensional data will not be accepted by the function. If you do not want to apply opacity to child elements, use RGBA color values instead (See "More Examples" below). Dont worry about these terms we will study them in detail in the below section but lets take a brief about these terms. We can explicitly declare the figure to get easy control of its border and background color. The last two examples are examples of using the 'function' scale by supplying forward and inverse functions for the scale transformation. How to set border for wedges in Matplotlib pie chart? Scales#. Illustrate the scale transformations applied to axes, e.g. How to set the spacing between subplots in Matplotlib in Python? Animated image using a precomputed list of images, matplotlib.animation.ImageMagickFileWriter, matplotlib.artist.Artist.format_cursor_data, matplotlib.artist.Artist.set_sketch_params, matplotlib.artist.Artist.get_sketch_params, matplotlib.artist.Artist.set_path_effects, matplotlib.artist.Artist.get_path_effects, matplotlib.artist.Artist.get_window_extent, matplotlib.artist.Artist.get_transformed_clip_path_and_affine, matplotlib.artist.Artist.is_transform_set, matplotlib.axes.Axes.get_legend_handles_labels, matplotlib.axes.Axes.get_xmajorticklabels, matplotlib.axes.Axes.get_xminorticklabels, matplotlib.axes.Axes.get_ymajorticklabels, matplotlib.axes.Axes.get_yminorticklabels, matplotlib.axes.Axes.get_rasterization_zorder, matplotlib.axes.Axes.set_rasterization_zorder, matplotlib.axes.Axes.get_xaxis_text1_transform, matplotlib.axes.Axes.get_xaxis_text2_transform, matplotlib.axes.Axes.get_yaxis_text1_transform, matplotlib.axes.Axes.get_yaxis_text2_transform, matplotlib.axes.Axes.get_default_bbox_extra_artists, matplotlib.axes.Axes.get_transformed_clip_path_and_affine, matplotlib.axis.Axis.remove_overlapping_locs, matplotlib.axis.Axis.get_remove_overlapping_locs, matplotlib.axis.Axis.set_remove_overlapping_locs, matplotlib.axis.Axis.get_ticklabel_extents, matplotlib.axis.YAxis.set_offset_position, matplotlib.axis.Axis.limit_range_for_scale, matplotlib.axis.Axis.set_default_intervals, matplotlib.colors.LinearSegmentedColormap, matplotlib.colors.get_named_colors_mapping, matplotlib.gridspec.GridSpecFromSubplotSpec, matplotlib.pyplot.install_repl_displayhook, matplotlib.pyplot.uninstall_repl_displayhook, matplotlib.pyplot.get_current_fig_manager, mpl_toolkits.mplot3d.art3d.Line3DCollection, mpl_toolkits.mplot3d.art3d.Patch3DCollection, mpl_toolkits.mplot3d.art3d.Path3DCollection, mpl_toolkits.mplot3d.art3d.Poly3DCollection, mpl_toolkits.mplot3d.art3d.get_dir_vector, mpl_toolkits.mplot3d.art3d.line_collection_2d_to_3d, mpl_toolkits.mplot3d.art3d.patch_2d_to_3d, mpl_toolkits.mplot3d.art3d.patch_collection_2d_to_3d, mpl_toolkits.mplot3d.art3d.pathpatch_2d_to_3d, mpl_toolkits.mplot3d.art3d.poly_collection_2d_to_3d, mpl_toolkits.mplot3d.proj3d.inv_transform, mpl_toolkits.mplot3d.proj3d.persp_transformation, mpl_toolkits.mplot3d.proj3d.proj_trans_points, mpl_toolkits.mplot3d.proj3d.proj_transform, mpl_toolkits.mplot3d.proj3d.proj_transform_clip, mpl_toolkits.mplot3d.proj3d.view_transformation, mpl_toolkits.mplot3d.proj3d.world_transformation, mpl_toolkits.axes_grid1.anchored_artists.AnchoredAuxTransformBox, mpl_toolkits.axes_grid1.anchored_artists.AnchoredDirectionArrows, mpl_toolkits.axes_grid1.anchored_artists.AnchoredDrawingArea, mpl_toolkits.axes_grid1.anchored_artists.AnchoredEllipse, mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar, mpl_toolkits.axes_grid1.axes_divider.AxesDivider, mpl_toolkits.axes_grid1.axes_divider.AxesLocator, mpl_toolkits.axes_grid1.axes_divider.Divider, mpl_toolkits.axes_grid1.axes_divider.HBoxDivider, mpl_toolkits.axes_grid1.axes_divider.SubplotDivider, mpl_toolkits.axes_grid1.axes_divider.VBoxDivider, mpl_toolkits.axes_grid1.axes_divider.make_axes_area_auto_adjustable, mpl_toolkits.axes_grid1.axes_divider.make_axes_locatable, mpl_toolkits.axes_grid1.axes_grid.AxesGrid, mpl_toolkits.axes_grid1.axes_grid.CbarAxes, mpl_toolkits.axes_grid1.axes_grid.CbarAxesBase, mpl_toolkits.axes_grid1.axes_grid.ImageGrid, mpl_toolkits.axes_grid1.axes_rgb.make_rgb_axes, mpl_toolkits.axes_grid1.axes_size.AddList, mpl_toolkits.axes_grid1.axes_size.Fraction, mpl_toolkits.axes_grid1.axes_size.GetExtentHelper, mpl_toolkits.axes_grid1.axes_size.MaxExtent, mpl_toolkits.axes_grid1.axes_size.MaxHeight, mpl_toolkits.axes_grid1.axes_size.MaxWidth, mpl_toolkits.axes_grid1.axes_size.Scalable, mpl_toolkits.axes_grid1.axes_size.SizeFromFunc, mpl_toolkits.axes_grid1.axes_size.from_any, mpl_toolkits.axes_grid1.inset_locator.AnchoredLocatorBase, mpl_toolkits.axes_grid1.inset_locator.AnchoredSizeLocator, mpl_toolkits.axes_grid1.inset_locator.AnchoredZoomLocator, mpl_toolkits.axes_grid1.inset_locator.BboxConnector, mpl_toolkits.axes_grid1.inset_locator.BboxConnectorPatch, mpl_toolkits.axes_grid1.inset_locator.BboxPatch, mpl_toolkits.axes_grid1.inset_locator.InsetPosition, mpl_toolkits.axes_grid1.inset_locator.inset_axes, mpl_toolkits.axes_grid1.inset_locator.mark_inset, mpl_toolkits.axes_grid1.inset_locator.zoomed_inset_axes, mpl_toolkits.axes_grid1.mpl_axes.SimpleAxisArtist, mpl_toolkits.axes_grid1.mpl_axes.SimpleChainedObjects, mpl_toolkits.axes_grid1.parasite_axes.HostAxes, mpl_toolkits.axes_grid1.parasite_axes.HostAxesBase, mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxes, mpl_toolkits.axes_grid1.parasite_axes.ParasiteAxesBase, mpl_toolkits.axes_grid1.parasite_axes.host_axes, mpl_toolkits.axes_grid1.parasite_axes.host_axes_class_factory, mpl_toolkits.axes_grid1.parasite_axes.host_subplot, mpl_toolkits.axes_grid1.parasite_axes.host_subplot_class_factory, mpl_toolkits.axes_grid1.parasite_axes.parasite_axes_class_factory, mpl_toolkits.axisartist.angle_helper.ExtremeFinderCycle, mpl_toolkits.axisartist.angle_helper.FormatterDMS, mpl_toolkits.axisartist.angle_helper.FormatterHMS, mpl_toolkits.axisartist.angle_helper.LocatorBase, mpl_toolkits.axisartist.angle_helper.LocatorD, mpl_toolkits.axisartist.angle_helper.LocatorDM, mpl_toolkits.axisartist.angle_helper.LocatorDMS, mpl_toolkits.axisartist.angle_helper.LocatorH, mpl_toolkits.axisartist.angle_helper.LocatorHM, mpl_toolkits.axisartist.angle_helper.LocatorHMS, mpl_toolkits.axisartist.angle_helper.select_step, mpl_toolkits.axisartist.angle_helper.select_step24, mpl_toolkits.axisartist.angle_helper.select_step360, mpl_toolkits.axisartist.angle_helper.select_step_degree, mpl_toolkits.axisartist.angle_helper.select_step_hour, mpl_toolkits.axisartist.angle_helper.select_step_sub, mpl_toolkits.axisartist.axes_grid.AxesGrid, mpl_toolkits.axisartist.axes_grid.CbarAxes, mpl_toolkits.axisartist.axes_grid.ImageGrid, mpl_toolkits.axisartist.axis_artist.AttributeCopier, mpl_toolkits.axisartist.axis_artist.AxisArtist, mpl_toolkits.axisartist.axis_artist.AxisLabel, mpl_toolkits.axisartist.axis_artist.GridlinesCollection, mpl_toolkits.axisartist.axis_artist.LabelBase, mpl_toolkits.axisartist.axis_artist.TickLabels, mpl_toolkits.axisartist.axis_artist.Ticks, mpl_toolkits.axisartist.axisline_style.AxislineStyle, mpl_toolkits.axisartist.axislines.AxesZero, mpl_toolkits.axisartist.axislines.AxisArtistHelper, mpl_toolkits.axisartist.axislines.AxisArtistHelperRectlinear, mpl_toolkits.axisartist.axislines.GridHelperBase, mpl_toolkits.axisartist.axislines.GridHelperRectlinear, mpl_toolkits.axisartist.clip_path.clip_line_to_rect, mpl_toolkits.axisartist.floating_axes.ExtremeFinderFixed, mpl_toolkits.axisartist.floating_axes.FixedAxisArtistHelper, mpl_toolkits.axisartist.floating_axes.FloatingAxes, mpl_toolkits.axisartist.floating_axes.FloatingAxesBase, mpl_toolkits.axisartist.floating_axes.FloatingAxisArtistHelper, mpl_toolkits.axisartist.floating_axes.GridHelperCurveLinear, mpl_toolkits.axisartist.floating_axes.floatingaxes_class_factory, mpl_toolkits.axisartist.grid_finder.DictFormatter, mpl_toolkits.axisartist.grid_finder.ExtremeFinderSimple, mpl_toolkits.axisartist.grid_finder.FixedLocator, mpl_toolkits.axisartist.grid_finder.FormatterPrettyPrint, mpl_toolkits.axisartist.grid_finder.GridFinder, mpl_toolkits.axisartist.grid_finder.MaxNLocator, mpl_toolkits.axisartist.grid_helper_curvelinear, mpl_toolkits.axisartist.grid_helper_curvelinear.FixedAxisArtistHelper, mpl_toolkits.axisartist.grid_helper_curvelinear.FloatingAxisArtistHelper, mpl_toolkits.axisartist.grid_helper_curvelinear.GridHelperCurveLinear.