plot ( ax = ax ) # Add labels to the plot ax. subplots ( figsize = ( 12, 4 )) births_by_date. Here let's look at an example of drawing text at various locations using these transforms:įig, ax = plt. fig.transFigure: Transform associated with the figure (in units of figure dimensions).ax.transAxes: Transform associated with the axes (in units of axes dimensions).ax.transData: Transform associated with data coordinates.There are three pre-defined transforms that can be useful in this situation: The average user rarely needs to worry about the details of these transforms, but it is helpful knowledge to have when considering the placement of text on a figure. Mathematically, such coordinate transformations are relatively straightforward, and Matplotlib has a well-developed set of tools that it uses internally to perform them (these tools can be explored in the ansforms submodule). In Matplotlib, this is done by modifying the transform.Īny graphics display framework needs some scheme for translating between coordinate systems.įor example, a data point at $(x, y) = (1, 1)$ needs to somehow be represented at a certain location on the figure, which in turn needs to be represented in pixels on the screen. Sometimes it's preferable to anchor the text to a position on the axes or figure, independent of the data. In the previous example, we have anchored our text annotations to data locations. set ( title = 'USA births by day of year (1969-1988)', ylabel = 'average daily births' ) # Format the x axis with centered month labels ax. text ( '', 3850, "Christmas ", ha = 'right', ** style ) # Label the axes ax. text ( '', 4250, "Independence Day", ha = 'center', ** style ) ax. plot ( ax = ax ) # Add labels to the plot style = dict ( size = 10, color = 'gray' ) ax. For example, you could annotate all tasks that slip beyond a particular date or exceed a certain cost with a 'Warning' annotation.Ĭlick this button to view the properties of the selected filter.Ĭlick this button to create a new filter, which will be applied to the annotation automatically.Fig, ax = plt. If you have applied a filter to the annotation, select this check box to make the annotation appear automatically on all bars, tasks and allocations that meet the selected filter criteria. For example, you could display a 'Warning' annotation if a task slips beyond its target finish date (by filtering for tasks finishing after a particular date) or exceeds a certain cost (by filtering for tasks exceeding a specific cost). If you apply a filter to an annotation, the annotation only appears when the task or allocation to which it is attached meets the filter criteria. Click New if you want to create a new filter. You can edit the selected filter by clicking Properties. Select a filter to apply to the annotation. You specify which category to use as the default using the Annotations tab of the Annotations are placed in the default category unless you specify otherwise. For example, you might want to place all your cost annotations in a Costs category and only display that category when discussing the project with your company accountant. You can define any number of annotation categories in Library Explorer and choose which categories are displayed at any one time using the General tab of theįormat Bar Chart dialog. ![]() Select the category in which to place the annotation. You can display annotations in the foreground (on top of any bar chart objects), in the background (behind any bar chart objects but in front of any gridlines), or at the very back (behind all objects and gridlines). Select this check box to display a border around the annotation, or clear the check box to display the annotation without a border.Ĭlick this button to select the font with which to display the annotation.Ĭlick the appropriate radio button to specify the drawing layer on the bar chart in which the annotation is displayed. ![]() Select a background colour to display behind the annotation.
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