Skip to main content

algorithm - How can I extend BinCounts to work on Times and Dates?


I want to extend BinCounts to work on a list of times or dates, binning them by Day, Week, Hour of the Month, Day of the Year, etc... So given a list of times and a time bin spec, I need to calculate the bin counts.


One example might be if I have list of times I've been on Facebook and I want to to plot these times on a 2D Histogram where the Y axis is "MinuteOfTheDay" and the x axis is "DayOfTheWeek". Alpha can already do this (but not with arbitrary time bins)


enter image description here


To clarify my question I made a prototype:


d = RandomDates[1000];
Timing[TimeBinCounts[d, {"Day", "Week"}]]

gives the proper counts {157, 150, 136, 147, 149, 129, 132}, (e.g. Count[DayOfWeek /@ d, Monday] == 157). And queries like


Timing[TimeBinCounts[d, {"Month", "Year"}]]


work too, but I'm not sure how to handle an arbitrary time bin spec like "HoursOfTheWeek"


Timing[TimeBinCounts[d, {"Hour", "Week"}]]

Will not work...


<TimeBinCounts::badspec = "The time bin spec `1` is not acceptable.";
DaysOfTheWeek = {Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday};
daysNum = Thread[Rule[DaysOfTheWeek, Range[7]]];
RandomDateList[] := {RandomInteger[{1800, 2100}], RandomInteger[{1, 12}], RandomInteger[{1, 28}], RandomInteger[{0, 23}], RandomInteger[{0, 59}], RandomInteger[{0, 59}]};

RandomDates[n_] := Table[RandomDateList[],{n}]

TimeSpecHelper[spec_] := Module[
{types, convert, result},
types = {"Second", "Minute", "Hour", "Day", "Week", "Month", "Year"};
convert = {60, 60, 24, 7, 4.345, 12};
result = Range[Times @@ Part[convert, Most[Range @@ Flatten[
First[Position[types, #]]& /@ spec]]]];
If[MatchQ[spec[[1]], "Second"|"Minute"|"Hour"],
result - 1,

result
]
]

TimeBinCounts[times_List, spec_] := Module[
{dayorder, bins, minDate, maxDate, order},

minDate = Min[times[[All, 1]]];
maxDate = Max[times[[All, 1]]];


order = Thread[Rule[{"Second", "Minute", "Hour", "Day", "Week", "Month", "Year"}, Range[7]]];
If[Greater @@ (spec /. order),
Message[TimeBinCounts::badspec, spec];
Return[$Failed];
];

Switch[spec,
{"Day","Week"} | "Day",
With[{days = DayOfWeek /@ times /. daysNum},
BinCounts[days, {1, 8, 1}]],

{"Hour", "Day"}|"Hour",
BinCounts[times[[All, 4]], {0, 24, 1}],
{"Day", "Month"},
BinCounts[times[[All, 3]], {1, 32, 1}],
{"Month", "Year"}|"Month",
BinCounts[times[[All, 2]], {1, 13, 1}],
"Year",
With[{interval = Range[minDate[[1]], maxDate[[1]]]},
Count[times[[All, 1]], #]& /@ interval
],

_,
order = Thread[Rule[{"Second", "Minute", "Hour", "Day", "Month", "Year"},
Range[6]]];
With[{interval = TimeSpecHelper[spec]},
Count[Mod[times[[All, 6 - (spec[[1]] /. order) + 1]], Length[interval]], #]& /@ TimeSpecHelper[spec]
]
]
]


Comments

Popular posts from this blog

functions - Get leading series expansion term?

Given a function f[x] , I would like to have a function leadingSeries that returns just the leading term in the series around x=0 . For example: leadingSeries[(1/x + 2)/(4 + 1/x^2 + x)] x and leadingSeries[(1/x + 2 + (1 - 1/x^3)/4)/(4 + x)] -(1/(16 x^3)) Is there such a function in Mathematica? Or maybe one can implement it efficiently? EDIT I finally went with the following implementation, based on Carl Woll 's answer: lds[ex_,x_]:=( (ex/.x->(x+O[x]^2))/.SeriesData[U_,Z_,L_List,Mi_,Ma_,De_]:>SeriesData[U,Z,{L[[1]]},Mi,Mi+1,De]//Quiet//Normal) The advantage is, that this one also properly works with functions whose leading term is a constant: lds[Exp[x],x] 1 Answer Update 1 Updated to eliminate SeriesData and to not return additional terms Perhaps you could use: leadingSeries[expr_, x_] := Normal[expr /. x->(x+O[x]^2) /. a_List :> Take[a, 1]] Then for your examples: leadingSeries[(1/x + 2)/(4 + 1/x^2 + x), x] leadingSeries[Exp[x], x] leadingSeries[(1/x + 2 + (1 - 1/x...

mathematical optimization - Minimizing using indices, error: Part::pkspec1: The expression cannot be used as a part specification

I want to use Minimize where the variables to minimize are indices pointing into an array. Here a MWE that hopefully shows what my problem is. vars = u@# & /@ Range[3]; cons = Flatten@ { Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; Minimize[{Total@((vec1[[#]] - vec2[[u[#]]])^2 & /@ Range[1, 3]), cons}, vars, Integers] The error I get: Part::pkspec1: The expression u[1] cannot be used as a part specification. >> Answer Ok, it seems that one can get around Mathematica trying to evaluate vec2[[u[1]]] too early by using the function Indexed[vec2,u[1]] . The working MWE would then look like the following: vars = u@# & /@ Range[3]; cons = Flatten@{ Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; NMinimize[ {Total@((vec1[[#]] - Indexed[vec2, u[#]])^2 & /@ R...

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]