matplotlib.backend_tools Abstract base classes define the primitives for Tools. These tools are used by matplotlib.backend_managers.ToolManager ToolBase Simple stateless tool ToolToggleBase Tool that has two states, only one Toggle tool can be active at any given time for the same matplotlib.backend_managers.ToolManager class matplotlib.backend_tools.AxisScaleBase(*args, **kwargs) Bases: matplotlib.backend_tools.ToolToggleBase Base Tool to toggle between linear and logarithmic disa

sankey matplotlib.sankey Module for creating Sankey diagrams using matplotlib class matplotlib.sankey.Sankey(ax=None, scale=1.0, unit='', format='%G', gap=0.25, radius=0.1, shoulder=0.03, offset=0.15, head_angle=100, margin=0.4, tolerance=1e-06, **kwargs) Bases: object Sankey diagram in matplotlib Sankey diagrams are a specific type of flow diagram, in which the width of the arrows is shown proportionally to the flow quantity. They are typically used to visualize energy or material or cost

finance matplotlib.finance A collection of functions for collecting, analyzing and plotting financial data. User contributions welcome! This module is deprecated in 1.4 and will be moved to mpl_toolkits or it?s own project in the future. matplotlib.finance.candlestick2_ochl(ax, opens, closes, highs, lows, width=4, colorup='k', colordown='r', alpha=0.75) Represent the open, close as a bar line and high low range as a vertical line. Preserves the original argument order. Parameters: ax : Axe

afm (Adobe Font Metrics interface) matplotlib.afm This is a python interface to Adobe Font Metrics Files. Although a number of other python implementations exist, and may be more complete than this, it was decided not to go with them because they were either: copyrighted or used a non-BSD compatible license had too many dependencies and a free standing lib was needed Did more than needed and it was easier to write afresh rather than figure out how to get just what was needed. It is pretty e

ticker matplotlib.ticker Tick locating and formatting This module contains classes to support completely configurable tick locating and formatting. Although the locators know nothing about major or minor ticks, they are used by the Axis class to support major and minor tick locating and formatting. Generic tick locators and formatters are provided, as well as domain specific custom ones.. Default Formatter The default formatter identifies when the x-data being plotted is a small range on top

matplotlib.backends.backend_qt4agg Render to qt from agg matplotlib.backends.backend_qt4agg.FigureCanvas alias of FigureCanvasQTAgg class matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg(figure) Bases: matplotlib.backends.backend_qt4agg.FigureCanvasQTAggBase, matplotlib.backends.backend_qt4.FigureCanvasQT, matplotlib.backends.backend_agg.FigureCanvasAgg The canvas the figure renders into. Calls the draw and print fig methods, creates the renderers, etc... Public attribute figure -

style matplotlib.style matplotlib.style.context(style, after_reset=False) Context manager for using style settings temporarily. Parameters: style : str, dict, or list A style specification. Valid options are: str The name of a style or a path/URL to a style file. For a list of available style names, see style.available. dict Dictionary with valid key/value pairs for matplotlib.rcParams. list A list of style specifiers (str or dict) applied from first to last in the list. after_reset : boo

artists matplotlib.artist class matplotlib.artist.Artist Bases: object Abstract base class for someone who renders into a FigureCanvas. add_callback(func) Adds a callback function that will be called whenever one of the Artist?s properties changes. Returns an id that is useful for removing the callback with remove_callback() later. aname = 'Artist' axes The Axes instance the artist resides in, or None. contains(mouseevent) Test whether the artist contains the mouse event. R

patheffects matplotlib.patheffects Defines classes for path effects. The path effects are supported in Text, Line2D and Patch. class matplotlib.patheffects.AbstractPathEffect(offset=(0.0, 0.0)) Bases: object A base class for path effects. Subclasses should override the draw_path method to add effect functionality. Parameters: offset : pair of floats The offset to apply to the path, measured in points. draw_path(renderer, gc, tpath, affine, rgbFace=None) Derived should override this m

dates matplotlib.dates Matplotlib provides sophisticated date plotting capabilities, standing on the shoulders of python datetime, the add-on modules pytz and dateutil. datetime objects are converted to floating point numbers which represent time in days since 0001-01-01 UTC, plus 1. For example, 0001-01-01, 06:00 is 1.25, not 0.25. The helper functions date2num(), num2date() and drange() are used to facilitate easy conversion to and from datetime and numeric ranges. Note Like Python?s dat