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.
In[1]:=
![Click for copyable input](assets.ja/working-with-quantity-valued-time-series/In_91.png)
data = WeatherData[
Entity["City", {"Champaign", "Illinois", "UnitedStates"}],
"Temperature", {{2016, 3, 20}, {2016, 3, 22}}];
In[2]:=
![Click for copyable input](assets.ja/working-with-quantity-valued-time-series/In_92.png)
temps = TimeSeries[data, MissingDataMethod -> "Interpolation"]
Out[2]=
![](assets.ja/working-with-quantity-valued-time-series/O_64.png)
気温の時系列を可視化する.
In[3]:=
![Click for copyable input](assets.ja/working-with-quantity-valued-time-series/In_93.png)
DateListPlot[temps, PlotTheme -> "Detailed"]
Out[3]=
![](assets.ja/working-with-quantity-valued-time-series/O_65.png)
基本の特性.
In[4]:=
![Click for copyable input](assets.ja/working-with-quantity-valued-time-series/In_94.png)
stats = {Min, Max, Mean, Median, StandardDeviation};
TableForm[{Map[#[temps] &, stats]}, TableHeadings -> {None, stats}]
Out[4]//TableForm=
![](assets.ja/working-with-quantity-valued-time-series/O_66.png)
気温を華氏に変換する.
In[5]:=
![Click for copyable input](assets.ja/working-with-quantity-valued-time-series/In_95.png)
tempsF = UnitConvert[temps, "DegreesFahrenheit"];
TableForm[{Map[#[tempsF] &, stats]}, TableHeadings -> {None, stats}]
Out[5]//TableForm=
![](assets.ja/working-with-quantity-valued-time-series/O_67.png)
6時間の移動平均を求める.
In[6]:=
![Click for copyable input](assets.ja/working-with-quantity-valued-time-series/In_96.png)
avg = MovingMap[Mean, temps, {Quantity[6, "Hours"], Center}]
Out[6]=
![](assets.ja/working-with-quantity-valued-time-series/O_68.png)
完全なWolfram言語入力を表示する
Out[7]=
![](assets.ja/working-with-quantity-valued-time-series/O_69.png)