plot categorical data python matplotlib

python - Plot datetime series as categorical data in matplotlib - Stack Connect and share knowledge within a single location that is structured and easy to search. However, I'm plotting revenue data [Eur], which means that an uneven bar width is misleading. Visualise Categorical Variables in Python - A Data Analyst Challenge 1: Matplotlib for Data Visualization. Seaborn can produce a box plot by using the boxplot () function. parameter and just give the labels for x and y: All indexable objects are supported. To learn more, see our tips on writing great answers. Matplotlib Object-Oriented Approach. Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. How can I fix this? Software versions. How do I set the figure title and axes labels font size? Is it illegal to cut out a face from the newspaper? rev2022.11.10.43024. On both sides of the bar, you will have a space of 0.25. What references should I use for how Fae look in urban shadows games? NGINX access logs from single page application. boxplots and violinplots are used to shown the distribution of categorical data. The optional parameter fmt is a convenient way for defining basic . the data in x and y, you can provide the object in the data Top 50 matplotlib Visualizations - The Master Plots (w/ Full Python My professor says I would not graduate my PhD, although I fulfilled all the requirements. This is great thanks! Challenge 2: Matplotlib for Data Visualization. element is used as labels for each set of data. could you launch a spacecraft with turbines? The parameter rwidth specifies the width of your bar relative to the width of your bin. to all those lines. Why does "new" go before "huge" in: New huge Japanese company? Categorical are like Sex , Days etc. A format string consists of a part for color, marker and line: Each of them is optional. XY scatter plot with markers of varying size and/or color ( sometimes also called bubble chart). These arguments cannot be passed as keywords. Why don't math grad schools in the U.S. use entrance exams? -- I'm looking for a solution that plots the months evenly spaced (as I achieved by defining. plot('n', 'o', data=obj) To process bigger chunks of information, the human mind consciously and unconsciously sorts data into categories. matplotlib.pyplot supports not only linear axis scales, but also logarithmic and logit scales. Example: If you specify multiple lines with one plot call, the kwargs apply I have a data frame with categorical data: colour direction 1 red up 2 blue up 3 green down 4 red left 5 red right 6 yellow down 7 blue down I want to generate some graphs, like pie charts and histograms based on the categories. Thanks for contributing an answer to Stack Overflow! Python, How to plot categorical variables in Matplotlib? plot in x and y. Technically there's a slight ambiguity in calls where the Seaborn: Categorical Data Plots - UpSkill Anywhere for every column. Seaborn Categorical Plots in Python. column 1 ['genres']: These are the value counts for all the genres in the table. I have a column in a pandas dataframe that has three possible categorical values. be a dict, a and the 'CN' colors that index into the default property cycle. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. (also non-attack spells). Python ,python,pandas,matplotlib,seaborn,categorical-data,Python,Pandas,Matplotlib,Seaborn,Categorical Data ', ':', '', (offset, on-off-seq), }, None or int or (int, int) or slice or list[int] or float or (float, float) or list[bool], float or callable[[Artist, Event], tuple[bool, dict]], (scale: float, length: float, randomness: float). Solution 2: Matplotlib for Data Visualization. It is built on top of matplotlib, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. 3D plot with categorical axis [Python/Matplotlib] - Stack Overflow autoscale_view. Connect and share knowledge within a single location that is structured and easy to search. The Python Seaborn module is built on top of the Matplotlib module and provides us with some advanced functionalities for better data visualization. I have a timeseries with monthly data, that I'd like to plot as a bar graph. How do I plot a pie chart using Pandas with this data, R remove values that do not fit into a sequence. Categorical Plots - Introduction to Data Science with Python The basic syntax of the bar chart is as shown below. Those variables can either be completely numerical or a category like a group, class, or division. These have a call signature that is remarkably similar to their two-dimensional . EarthPy builds upon the functionality developed for raster data (rasterio) and vector data (geopandas) in Python and simplifies the code needed to: - Stack and crop . The data is stored in a pandas dataframe. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. The fmt and line property parameters are only By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. How to change the font size on a matplotlib plot. same shape. Why don't American traffic signs use pictograms as much as other countries? A format string, e.g. Three variables are required:. The coordinates of the points or line nodes are given by x, y. parameter. MIT, Apache, GNU, etc.) Hierarchical clustering categorical data python Those variables can be either be completely numerical or a category like a group, class or division. Axis Grids. Introduction. Scatteplot is a classic and fundamental plot used to study the relationship between two variables. This article deals with categorical variables and how they can be visualized using the Seaborn library in python. Other combinations such as [color][marker][line] are also The months are spaced according to their duration, as can be seen esp between Feb and March. z axis - Category (string), Now I've tried to convert the z vector using pandas.factorize(table.zcolumn). These can be produced using the ax.plot3D and ax.scatter3D functions, much like the more typical two-dimensional chart that were previously presented. 3D plots are most useful when your X, Y and Z values are all continuous variables. y axis - Values (float) How to replace NaN values by Zeroes in a column of a Pandas Dataframe? A planet you can take off from, but never land back, I was given a Lego set bag with no box or instructions - mostly blacks, whites, greys, browns, Original meaning of "I now pronounce you man and wife", Defining inertial and non-inertial reference frames. What I want is for the data to be plotted equi-distantly. The horizontal / vertical coordinates of the data points. additionally use any matplotlib.colors spec, e.g. Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. For more information on Matplotlib, check out Python Plotting With Matplotlib. The matplotlib.pyplot.bar () function is used to create a Bar plot using matplotlib module. Extract the keys and values from the dictionary (Step 2). Combining Different Categorical Plots. Okay so since you are using a dataframe like this: Thanks for contributing an answer to Stack Overflow! Bubble plot with Encircling Seaborn | Categorical Plots - GeeksforGeeks 1. Generate a list of numbers based on histogram data. We can construct a line chart in Matplotlib by calling the plot method. Is it necessary to set the executable bit on scripts checked out from a git repo? formatting like color, marker and linestyle. 3D plots are also generally harder to read than 2D plots - for example, because of the perspective projection a point that's nearby in the 'National' category might look a lot like a point that's further away but in the 'N/A' category. Not the answer you're looking for? Also this syntax cannot be combined with the data kwargs are used to specify properties like a line label (for Given your bigger Series sample with categorical labels: Apply the MaxNLocator with a specified number of bins (or 'auto'): Thanks for contributing an answer to Stack Overflow! bokeh / bokeh Interactive Data Visualization in the browser, from Python . auto legends), linewidth, antialiasing, marker face color. But I'm mostly using this as a coding exercise. The supported color abbreviations are the single letter codes. Book or short story about a character who is kept alive as a disembodied brain encased in a mechanical device after an accident. They can also be scalars, or two-dimensional (in that case, the Plot bar, scatter and plot with names and values data. What was the (unofficial) Minecraft Snapshot 20w14? (SL2 vs a7c). Making statements based on opinion; back them up with references or personal experience. Can my Uni see the downloads from discord app when I use their wifi? Create a figure and a set of subplots. The Python matplotlib pyplot has a bar function, which helps us to create this chart or plot from the given X values, height, and width. The parameters to the function are The function returns a Matplotlib container object with all bars. Find centralized, trusted content and collaborate around the technologies you use most. Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. Beautiful Beginner Box Plots in Python | by Lewis Gallagher - Medium rev2022.11.10.43024. Controlling style of text and labels using a dictionary, Placing date ticks using recurrence rules, Customizing Matplotlib with style sheets and rcParams. multiple linear regression model in python; scatter plots using matplotlib; python add multiple columns to pandas dataframe; show multiple plots python; . Find centralized, trusted content and collaborate around the technologies you use most. If both x and y are 2D, they must have the [1., 0., 0. R remove values that do not fit into a sequence, A planet you can take off from, but never land back. How to plot a Pandas Dataframe with Matplotlib? - GeeksforGeeks Is upper incomplete gamma function convex? Categorical Data Plots Data Visualization with Python - Data Journal x values are optional and default to range(len(y)). Matplotlib is an amazing python library which can be used to plot pandas dataframe. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Why don't American traffic signs use pictograms as much as other countries? How to make IPython notebook matplotlib plot inline, how do you filter pandas dataframes by multiple columns. How to maximize hot water production given my electrical panel limits on available amperage? I feel like there should be a simple function to match it. Are you looking for converting the type of the data from custom to category type? Create a dictionary with some details. You just need to set the zticks to the three z-values corresponding to your categories: Having said that, I don't this is actually a very good way of plotting your data. Seaborn besides being a statistical plotting . The frequency distribution of categorical variables is best displayed with bar charts. With this scatter plot we can visualize the different dimension of the data: the x,y location corresponds to Population and Area, the size of point is related to the total population and color is related to particular continent Visualizing categorical data seaborn 0.12.1 documentation Is opposition to COVID-19 vaccines correlated with other political beliefs? to_categorical in python - qualityfarmac.it Making statements based on opinion; back them up with references or personal experience. Let's say the following is our dataset in the form of a CSV file Cricketers.csv At first, import the required libraries import seaborn as sb import pandas as pd import matplotlib. Matplotlib: Data Visualization. Find centralized, trusted content and collaborate around the technologies you use most. The data hold London, National and NaN categories. Matplotlib Bar Plot - Tutorial and Examples - Stack Abuse 504), Hashgraph: The sustainable alternative to blockchain, Mobile app infrastructure being decommissioned. Stacking SMD capacitors on single footprint for power supply decoupling. Example: >>> plot(x1, y1, 'bo') >>> plot(x2, y2, 'go') Copy to clipboard. One Categorical Variable: Barplot Use sns.countplot () to make a barplot to look at the distribution of a categorical variable: sns.countplot (x='class', data=mpg) plt.show () One Quantitative Variable, One Categorical Variable: Boxplot Use sns.boxplot () to make boxplots: sns.boxplot (x='class', y='hwy', data=mpg) plt.show () Representing regions as different z-levels might make a bit more sense if 'region' was an ordinal variable, but is there any reason why 'N/A' should be 'higher' than 'National'? From simple to complex visualizations, it's the go-to library for most. There are various ways to plot multiple sets of data. is "life is too short to count calories" grammatically wrong? Matplotlib Scatter Plot Color by Category in Python | kanoki Site design / logo 2022 Stack Exchange Inc; user contributions licensed under CC BY-SA. In this tutorial, we'll take a look at how to plot a bar plot in Matplotlib.. Bar graphs display numerical quantities on one axis and categorical variables on the other, letting you see how many occurrences there are for the . How can I safely create a nested directory? . Asking for help, clarification, or responding to other answers. Matplotlib Cheat Sheet: Plotting in Python | DataCamp How do I create a pie chart in Matplotlib using a dataframe, and use the categorical variables in a column as labels? Matplotlib dot plot with two categorical variables, Plotting categorical data with pandas and matplotlib, Scatter plot with only categorical data, Matplotlib: how to plot a line with categorical data on the x-axis?, How to plot multiple categorical data using scatter plot assigning different color? Defining inertial and non-inertial reference frames. Categorical Plots are basically used for visualizing the relationship between variables. How do I change the size of figures drawn with Matplotlib? Analyze Categorical Data. Substituting black beans for ground beef in a meat pie. Commonly, these parameters are 1D arrays. could be plt(x, y) or plt(y, fmt). Stack Overflow for Teams is moving to its own domain! Why does the "Fight for 15" movement not update its target hourly rate? Exception: If line is given, but no marker, Matplotlib . rev2022.11.10.43024. I could turn the timestamps into a string so that the data is plotted categorically: s = pd.Series (range (3,7), pd.date_range ('2021', freq='MS', periods=4)) x = [f' {ts.year}- {ts.month:02}' for ts in s.index] ax.bar (x, s.values, 0.9) # width now as fraction of spacing between datapoints Copyright 20022012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 20122022 The Matplotlib development team. The following two calls yield identical results: When conflicting with fmt, keyword arguments take precedence. There's a convenient way for plotting objects with labelled data (i.e. Classify and Plot Raster Data in Python - Earth Data Science Why is Data with an Underrepresentation of a Class called Imbalanced not Unbalanced? Matplotlib - Bar Plot - tutorialspoint.com 3D plots are most useful when your X, Y and Z values are all continuous variables. You can use Line2D properties as keyword arguments for more Seaborn Categorical Plots in Python | DataScience+ Extract the keys and values from the dictionary (Step 2). matplotlib color scale. When the migration is complete, you will access your Teams at stackoverflowteams.com, and they will no longer appear in the left sidebar on stackoverflow.com. lego star wars: the skywalker saga cheat codes ps4; telerik blazor report viewer; super mario world forest of illusion piano; atmospheric corrosion definition. Changing the scale of an axis is easy: plt.xscale ('log') An example of four plots with the same data and different scales for the y axis is shown below. data ['Gender'].value_counts ().plot (kind='pie') If you wanna do it manually: people = len (data.Gender) genders = len (set (data.Gender)) res = [] for gender in set (data.Gender): res.append ( [gender, len (data [data ['Gender']==gender]), len (data [data ['Gender']==gender])/people]) and then just plot it. Is it possible without creating dummy numeric variables? For example, if your bin width is said 1 and rwidth=0.5, the bar width will be 0.5. How is lift produced when the aircraft is going down steeply? On the z-axis I need to reassign the ticks -1 to become 'NA', 0 to become 'London' and 1 to become 'National', I'd also be interested in a way for doing this with large numbers of categories, so code that does not need manually inputting each category string. Visualise Categorical Variables in Python. Line properties and fmt can be mixed. Share Follow Categorical axes in Python - Plotly When the migration is complete, you will access your Teams at stackoverflowteams.com, and they will no longer appear in the left sidebar on stackoverflow.com. We can pass this data over to Seaborn, a pretty and user-friendly method of plotting data. For this, you first need to compute the frequency of each category with value_counts and then you can conveniently plot that directly with pandas plot.bar. How do I change the size of figures drawn with Matplotlib? Legality of Aggregating and Publishing Data from Academic Journals. Not the answer you're looking for? Is there anyway to also add data labels to the chart so that they show the amount/percentage on the chart as well? Strings. All of these and more can also be This is commonly used if data spans many orders of magnitude. Python, Matplotlib dot plot with two categorical variables I've updated the question to make it a bit clearer what it exactly is that I'm looking for. But with fewer bins, they do show up. Python is a generic programming language designed to support many different applications. Colormap instances are used to convert data values (floats) from the interval [0, 1] to the RGBA color that the respective Colormap represents. basic line properties. Why don't math grad schools in the U.S. use entrance exams? This Week. Python Essentials. I know two approaches and use them depending on what I need and what the result looks like. Lists. to_categorical in python. Solution 1: Matplotlib for Data Visualization. When the migration is complete, you will access your Teams at stackoverflowteams.com, and they will no longer appear in the left sidebar on stackoverflow.com. Example: If x and/or y are 2D arrays a separate data set will be drawn Introduction to Data Science with Python. 'style cycle'. To learn more, see our tips on writing great answers. I'd like to convert them to a numerical value that is represented by a custom label, if something like that is possible. apply to documents without the need to be rewritten? For a non-square, is there a prime number for which it is a primitive root? full names How to apply categorical plot in Matplotlib - Sanjib Sinha I could make the gaps between the bars the same - by tweaking the width of the bars. In what kind of data structure is your data? Thanks for the answer @tdy, however, this solution still uses a datetime axis. us bank holidays 2022 february; adfs claim descriptions; plastic fillers and additives pdf; tsunami wave height in meters; magic hall where odin keeps the dead he . supported, but note that their parsing may be ambiguous. Extract the keys and values from the dictionary (Step 2). Introduction. 504), Hashgraph: The sustainable alternative to blockchain, Mobile app infrastructure being decommissioned. You'll see there are NaN values which convert to -1, so when I plot the graph there are a bunch of values at -1. How does White waste a tempo in the Botvinnik-Carls defence in the Caro-Kann? I would like to create a seperate pie chart for both "Gender" and "Country" to show how many times each option shows up in the data but I'm quite confused about how to do so. Python Bar Plot: Visualization of Categorical Data With the number of bins you have, you won't see these spaces. Python matplotlib Bar Chart - Tutorial Gateway Asking for help, clarification, or responding to other answers. This topic explains the method to understand the categorical data using the pie chart and bar chart. Syntax: matplotlib.pyplot.bar (x, height, width, bottom, align) x: The scalar x-coordinates of the barplot Regression Plots. Python Bar Plot - Visualize Categorical Data in Python By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Show Code 2. You could categorise persons according to their race or . My professor says I would not graduate my PhD, although I fulfilled all the requirements. How do I plot categorical data in MatPlotLib? The frequency distribution of categorical variables is best displayed with bar charts. If the color is the only part of the format string, you can How can I draw this figure in LaTeX with equations? groups: In this case, any additional keyword argument applies to all By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. How to change the font size on a matplotlib plot, Save plot to image file instead of displaying it using Matplotlib. Work With MACA v2 Climate Data in Python. Convert string "Jun 1 2005 1:33PM" into datetime, How to change the font size on a matplotlib plot. control on the appearance. It's a shortcut string pyplot as plt Load data from a CSV file into a Pandas DataFrame Is it necessary to set the executable bit on scripts checked out from a git repo? is "life is too short to count calories" grammatically wrong? Prerequisites: Pandas; Matplotlib; Data visualization is the most important part of any analysis. Where are these two video game songs from? Why don't American traffic signs use pictograms as much as other countries? If given, provide the label names to And after that, we can plot the graph with the help of the Matplotlib library. Why does the "Fight for 15" movement not update its target hourly rate? Plotting categorical variables Matplotlib 3.6.2 documentation Plot bar, scatter and plot with names and values data. To create a vertical Box Plot, use the seaborn.boxplot (). Do I get any security benefits by natting a a network that's already behind a firewall? This could e.g. If only one of them is 2D with shape (N, m) the other # plot x and y using default line style and color, # black triangle_up markers connected by a dotted line, 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.

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