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Showing posts with the label Weighted Average
Calculating Weighted Moving Average Using Pandas Rolling Method

Calculating Weighted Moving Average Using Pandas Rolling Method

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I calculate simple moving average: def sma(data_frame, length=15): # TODO: Be sure about defaul… Read more Calculating Weighted Moving Average Using Pandas Rolling Method
Is There A Way To Get Pandas Ewm To Function On Fixed Windows?

Is There A Way To Get Pandas Ewm To Function On Fixed Windows?

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I am trying to use Pandas ewm function to calculating exponentially weighted moving averages. Howev… Read more Is There A Way To Get Pandas Ewm To Function On Fixed Windows?
Calculating A Mean With More Recent Observations With Greater Importance

Calculating A Mean With More Recent Observations With Greater Importance

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I am building an algorithm to predict the outcomes of sporting events using the performance of prev… Read more Calculating A Mean With More Recent Observations With Greater Importance
Use Numpy.average With Weights For Resampling A Pandas Array

Use Numpy.average With Weights For Resampling A Pandas Array

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I need to resample some data with numpys weighted-average-function - and it just doesn't work..… Read more Use Numpy.average With Weights For Resampling A Pandas Array
Use Numpy.average With Weights For Resampling A Pandas Array

Use Numpy.average With Weights For Resampling A Pandas Array

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I need to resample some data with numpys weighted-average-function - and it just doesn't work..… Read more Use Numpy.average With Weights For Resampling A Pandas Array