数量値の時系列を使う

指定の場所における気温の変化を解析する．

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data = WeatherData[ Entity["City", {"Champaign", "Illinois", "UnitedStates"}], "Temperature", {{2016, 3, 20}, {2016, 3, 22}}];

In[2]:=

temps = TimeSeries[data, MissingDataMethod -> "Interpolation"]

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気温の時系列を可視化する．

In[3]:=

DateListPlot[temps, PlotTheme -> "Detailed"]

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基本の特性．

In[4]:=

stats = {Min, Max, Mean, Median, StandardDeviation}; TableForm[{Map[#[temps] &, stats]}, TableHeadings -> {None, stats}]

Out[4]//TableForm=

気温を華氏に変換する．

In[5]:=

tempsF = UnitConvert[temps, "DegreesFahrenheit"]; TableForm[{Map[#[tempsF] &, stats]}, TableHeadings -> {None, stats}]

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6時間の移動平均を求める．

In[6]:=

avg = MovingMap[Mean, temps, {Quantity[6, "Hours"], Center}]

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In[7]:=

DateListPlot[{temps, avg}, PlotLegends -> {"temperatures", "6-hour moving average"}, FrameLabel -> Automatic, PlotTheme -> "Detailed"]

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