Add constraints on each side to pin this view to its parent view, making sure that Constrain to margins is NOT set:.
Set the background color to any color you like. Back in PieChartViewController.
This sets up the plot right after the subviews are laid out. Each method within initPlot represents a stage in setting up the plot. This helps keep the code a bit more organized. This disables pinching scaling on the pie chart, which determines whether the host view responds to pinch gestures. You next need to add a graph to the hostView. Add the following to configureGraph:.
This associates the graph with the host view.
The CPTGraph encompasses everything you see in a standard chart or graph: The title looks great, but you know what would be even better in this Core Plot tutorial? Actually seeing the pie chart! This method determines the number of slices to show on the graph; it will display one pie slice for each symbol. You should note that this value is not a percentage. Rather, this method calculates the currency exchange rate relative to the base currency: CPTPieChart will take care of calculating the percentage value for each slice, which ultimately will determine how big each slice is, using these values.
This method returns a label for the pie slice. The chart looks pretty nice, but adding a legend would make it even better. Here you declare three CPTBarPlot properties, which will correspond to each currency shown on the graph. Note there are also three IBOutlet labels and three IBAction methods already defined, all of which have already been connected for you on the storyboard. This too is similar to a pie chart: Again, just like you did for the pie chart in this Core Plot tutorial, you need to add the host view via Interface Builder.
Add constraints to pin it to all of its neighbors, making sure that Constrain to margins is NOT set.
Lastly, set the background color to any color you like. First, back in BarGraphViewController , you need a couple constant properties. Add the following right below the other properties:. Add the following function right after updateLabels:. You also use an assumed minimum and maximum exchange rate range on the plot space.
- Axis Configuration!
- Getting Started.
- Graphing Environment Setup.
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Add the following code to configureChart:. In order to actually display the data on the bar graph, you need to implement the delegate methods that provide the necessary data to the graph. BarTip value indicates the relative size of the bar chart. You use the retained properties to figure out the exchange rate for which you need to retrieve the data. The idx corresponds to the index of the rate of interest.
The name of the exercise. Hexadecimal color value as string. Read also: Mastering UIKit performance. In this case, the column that displays the number of pull ups will not be noticeable along with the column that displays the push up progress. We will allocate design setup in awakeFromNib method. But in the real project we recommend you to use class-adapter. The second method returns the object which implements the protocol for our data model. Already collected data will be used by the internal dataSource Core Plot during drawing the graph.
For example, the overall progress of each exercise will correspond to the value on X axis. Here we will calculate a maximum height of the column and scale the system of coordinates accordingly.
Working with Core Plot | Keystroke Countdown
We will also calculate a minimum visible size of the column for displaying small values and add plot or, in this case, a section of the table. We can create a separate object that will collect the necessary information for building a graph from the data source and will implement the methods of public dataSource YALBarChartView. Loose coupling using Dependency Injection and Service Locator. Just like in the previous case we need to create a separate view, a protocol for data model and an external dataSource.
The only difference is calculation of the minimum sector of the circle, because we need to know what amount of data corresponds to a single degree of the circle. This diagram is the most complicated, but also the most interesting graph, in our opinion. For example, we need to show the training stats for the last 7 days.
Core Plot Tutorial: Getting Started
In a single column that will correspond to a particular day, there will be a few columns for each exercise done on that particular day. In other words, stacked bar chart is a stack of columns. We can build this graph and work with it the same way as with a table, because we basically have the same table, but with more, than one section.
Each small column is a cell in the section. In our implementation each cell in the column is not a record, but a plot with one record. We need to adapt to work with our model. We can locate a few plots in this section, since a sportsman can do a few different exercises. We need to know how many plots cells there are in every section and provide a concrete set of data for building a plot according to the corresponding index. In order to create a stack of bars when implementing internal dataSource Core Plot, we use the field BarBaseValue, which means that the bar needs to be drawn with certain offset.
For that we need to provide each bar, except the first one, with the total height of all the lower bars. Since we work with the graph in the same way as with the table — through sections and cells — we can set an identifier for each plot with an index. For this reason we adapted the data model by creating separate objects for collecting data by sections and cells. As in the previous case, instead of abusing a controller, we can create a separate object, which will implement the methods of our public dataSource, and provide the needed data.
As a result, we achieved clear and transparent architecture while keeping the main view-controller lightweight. We also encapsulated all the code, responsible for setting up graph display which resulted in achieving reusable and flexible solution, entirely corresponding to MVC pattern. Core Plot offers extensive possibilities for manual setup, which are necessary to go through once you decide to get use of the library.
We also use this information for analytics. The graph, which is built with the help of Core Plot has the following structure: There are two steps you need to take to work with Core Plot: Graph design setup.