A list of all of Pyxplot’s built-in object types can be found in the types module, which contains the object prototypes for each type. Its contents are as follows:
pyxplot> print types
module {
boolean : data type: boolean
color : data type: color
date : data type: date
dictionary : data type: dictionary
exception : data type: exception
fileHandle : data type: fileHandle
function : data type: function
instance : data type: instance
list : data type: list
matrix : data type: matrix
module : data type: module
null : data type: null
number : data type: number
string : data type: string
type : data type: type
vector : data type: vector
}
These object prototypes can be called like functions to produce an instance of each data type. Each prototype can take various different kinds of argument; for example, the number prototype can take a number, boolean or a string from which to create a number. For example:
pyxplot> types.number()
0
pyxplot> types.number(true)
1
pyxplot> types.number(27)
27
pyxplot> types.number("1.2e39")
1.2e+39
Full documentation of the types of inputs supported by each prototype are listed in the Reference Manual, in Section 2.11.
In many cases there are much more succinct ways of creating objects of each type. For example, lists can be creating by enclosing a comma-separated list of elements in square brackets:
pyxplot> print [10,colors.green,"bottles"]
[10, cmyk(1,0,1,0), "bottles"]
Dictionaries can be can be creating by enclosing key–value pairs in curly brackets:
pyxplot> s = {"name":"Sophie", "nationality":"British"}
pyxplot> s["hometown"] = "Lode"
pyxplot> s["birthYear"] = 1957