![]() ![]() We have already used axis labels and titles for this purpose, but these are 'annotations' for the whole plot. To this purpose we use texts, labels and arrows. This means we draw the readers attentions to important points and areas of the plot. The visualizations of function plots often makes annotations necessary. We will use the Polynomial class which we have defined in our chapter Polynomials.Įnjoying this page? We offer live Python training courses covering the content of this site. For a change we want to use now polynomials. We have mainly used trigonometric functions in our previous chapter. ![]() Every entry consists of a key and a label.Īll we have to do to create a legend for lines, which already exist on the axes, is to simply call the function "legend" with an iterable of strings, one for each legend item. We will demonstrate in the following simple example how we can place a legend on a graph. Legends are used in line graphs to explain the function or the values underlying the different lines of the graph. Legends - as they are found in maps - describe the pictorial language or symbology of the map. It gives us valuable information about the visualized data.īefore legends have been used in mathematical graphs, they have been used in maps. So we can say legends are the things in a graph or plot which have to be read to understand the plot. The word legend stems from Latin and it means in Latin "to be read". They have to read it and this is where the original meaning comes from. Legends are the classical stories from ancient Greece or other places which are usually devoured by adolescents. This chapter of our tutorial is about legends. Estimation of Corona cases with Python and Pandas.Net Income Method Example with Numpy, Matplotlib and Scipy.Expenses and income example with Pandas and Python.Accessing and Changing values of DataFrames.Creating Videos from One or More Images.Image Processing Techniques with Python and Matplotlib.Image Processing in Python with Matplotlib.Adding Legends and Annotations in Matplotlib.Reading and Writing Data Files: ndarrays.Matrix Arithmetics under NumPy and Python.Numpy Arrays: Concatenating, Flattening and Adding Dimensions.Instructor-led training courses by Bernd Klein See also: Autogenerated API documentation and FreeCAD Scripting Basics.Live Python classes by highly experienced instructors: View Line Visible: Whether the balloon line is visible.View Fontsize: Dimension text size in mm.View Font: The name of the font to use for the balloon bubble.Data Y: Vertical position of the balloon bubble relative to the View.Data X: Horizontal position of the balloon bubble relative to the View.Data Kink Length: Distance from the Shape to the leader line kink.Data Text Wrap: Text wrap length -1 means the text will never be wrapped and the result is in every case a single line.Data Shape Scale: Scale factor for the Shape.Options: Circular, None, Triangle, Inspection, Hexagon, Square, Rectangle Data Bubble Shape: Shape of the balloon bubble.Data End Type Scale: Scale factor for the End Type.Options: None, Filled Arrow, Open Arrow, Tick, Dot, Open Circle, Fork, Filled Triangle Data End Type: End symbol for the balloon line.Data Origin Y: Balloon origin y-position relative to the View.Data Origin X: Balloon origin x-position relative to the View.Data Source View: Source View for the balloon.When using a rectangle shape, separators can be added using "|" in the text. Note: The position of a Balloon is relative to its Source View and uses the same scale factor. To change the properties of a Balloon double-click it on the page or in the Tree view. To move the bubble of a Balloon, press and hold the left mouse button on its center and drag the mouse. Click a point on the page for the origin of the Balloon.Select the TechDraw → Annotations → Insert Balloon Annotation option from the menu.There are several ways to invoke the tool:.A View (on the page or in the Tree view).The TechDraw Balloon tool can add balloons with leader line in a drawing.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |