Wolfram 语言™

处理值为数量的时间序列

分析给定地点的气温变化情况.

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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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可视化温度时间序列.

In[3]:=

DateListPlot[temps, PlotTheme -> "Detailed"]

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基本属性.

In[4]:=

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

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把温度的单位转换成华氏度.

In[5]:=

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

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计算 6-小时的移动平均.

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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