Wolfram Data Drop 快速参考

数据处理

通过移动平均数平滑数据:

In[1]:=
Out[1]= {{This creates a new key-value association, the keys of the databin point to an EventSeries of the moving averages.}}
In[2]:=
Out[2]= {{This maps (/@) the previous output (%) onto DateListPlot, which plots the EventSeries.}

累加值获取移动总数:

In[1]:=
Out[1]= {{This returns a running total of the data in the databin, expressed as an EventSeries.}}
In[2]:=
Out[2]= {{This maps (/@) the previous output (%) onto DateListPlot, which plots the EventSeries.}

求一组值的平均数:

In[1]:=
Out[1]= {{This computes the mean value of the data in the databin over non-overlapping windows of width 10.}}

在各时间序列中重新调节各值:

In[1]:=
Out[1]= {{This scales all of the data to fit between 0.0 and 1.0, and plots it.}}

Rescale Normalize Standardize Threshold Clip

应用函数于特定时间序列中的值:

In[2]:=
Out[2]= {{This returns a TimeSeries of distance values, converted to km.}}

获取不含时间戳的纯值列表:

In[1]:=
Out[1]= {{This returns a list of just the values, without timestamps.}}
In[2]:=
Out[2]= {{This plots the list of successive differences between values of the previous output.}

Differences LowpassFilter MaxFilter Fourier PowerSpectralDensity

快速参考: 线性和非线性滤波器 »

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