plotting - How to make Joined skip missing data points

I have a set of data taken on sequential days, but some points are missing. I'd like to make a joined date list plot, where the points are not joined across the missing point.The following example illustrates the desired result.

data1 = {
{{2013, 7, 1}, 1},
{{2013, 7, 2}, 5},
{{2013, 7, 3}, 2},
{{2013, 7, 4}, 4},
{{2013, 7, 6}, 2},
{{2013, 7, 7}, 6}

};
data2 = {
{{2013, 7, 1}, 6},
{{2013, 7, 2}, 2},
{{2013, 7, 3}, 4},
{{2013, 7, 4}, 1},
{{2013, 7, 5}, 7},
{{2013, 7, 6}, 1},
{{2013, 7, 7}, 4}
};

DateListPlot[{
data1[[1 ;; 4]],
data1[[5 ;; 6]],
data2[[ ;; ]]
}, PlotStyle -> {Blue, Blue, Red}, Joined -> True]

Note that data1 is missing a point on July 5. In practice I'm doing this with multiple data sets, with hundreds of points, so breaking it apart and manually assiging plotstyle like I have here is not viable.

How can I make Joined skip missing points?

Answer

You can do this pretty cleanly with TemporalData. Setting the Method to None ensures no interpolation will be performed. The "Part" property resamples the paths when necessary using the Method setting. Since it was set to None it gives missing at days not present in the data.

td = TemporalData[{data1, data2}, Method -> None];
resample = td["Part", All, {Automatic, Automatic, "Day"}]["Paths"]

DateListPlot[resample, Joined -> True, PlotStyle -> {Blue, Red}]

enter image description here

Comments

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...

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...

How to remap graph properties?

Graph objects support both custom properties, which do not have special meanings, and standard properties, which may be used by some functions. When importing from formats such as GraphML, we usually get a result with custom properties. What is the simplest way to remap one property to another, e.g. to remap a custom property to a standard one so it can be used with various functions? Example: Let's get Zachary's karate club network with edge weights and vertex names from here: http://nexus.igraph.org/api/dataset_info?id=1&format=html g = Import[ "http://nexus.igraph.org/api/dataset?id=1&format=GraphML", {"ZIP", "karate.GraphML"}] I can remap "name" to VertexLabels and "weights" to EdgeWeight like this: sp[prop_][g_] := SetProperty[g, prop] g2 = g // sp[EdgeWeight -> (PropertyValue[{g, #}, "weight"] & /@ EdgeList[g])] // sp[VertexLabels -> (# -> PropertyValue[{g, #}, "name"]...

Blog

Search This Blog