Sage Reference Manual: Quantitative Finance - Mirrors

Sage Reference Manual: Quantitative Finance, Release 6.1.1
•normalize – (default: True) whether to normalize so the total area in the bars of the histogram is
1.
OUTPUT:
A histogram plot.
EXAMPLES:
sage: v = finance.TimeSeries([1..50])
sage: v.plot_histogram(bins=10)
sage: v.plot_histogram(bins=3,normalize=False,aspect_ratio=1)
pow(k)
Return a new time series with every elements of self raised to the k-th power.
INPUT:
•k – a float.
OUTPUT:
A time series.
EXAMPLES:
sage: v = finance.TimeSeries([1,1,1,2,3]); v
[1.0000, 1.0000, 1.0000, 2.0000, 3.0000]
sage: v.pow(2)
[1.0000, 1.0000, 1.0000, 4.0000, 9.0000]
prod()
Return the product of all the entries of self. If self has length 0, returns 1.
OUTPUT:
A double.
EXAMPLES:
sage: v = finance.TimeSeries([1,1,1,2,3]); v
[1.0000, 1.0000, 1.0000, 2.0000, 3.0000]
sage: v.prod()
6.0
randomize(distribution=’uniform’, loc=0, scale=1, **kwds)
Randomize the entries in this time series, and return a reference to self. Thus this function both changes
self in place, and returns a copy of self, for convenience.
INPUT:
•distribution – (default: "uniform"); supported values are:
–’uniform’ – from loc to loc + scale
–’normal’ – mean loc and standard deviation scale
–’semicircle’ – with center at loc (scale is ignored)
–’lognormal’ – mean loc and standard deviation scale
•loc – float (default: 0)
•scale – float (default: 1)
14 Chapter 1. Time Series