Removing outlier from time series analysis using pandas





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I have a time series analysis to model NDVI.
I used the following code:



import numpy as np

from pandas import Series

from matplotlib import pyplot

series = Series.from_csv('WSC-10-50.csv', header=0)

pyplot.subplots(figsize=(20, 10))

pyplot.plot(series)

pyplot.show()



print(series.describe())


How do I remove any outliers from the data set and replot?
I would also like to run the best fit line across new plot with the outliers removed



Any help?






python pandas scipy cross-validation







share|improve this question

























  • The question is too broad. Consider asking it on Cross Validated; you may have a better response rate.

    – DYZ
    Nov 25 '18 at 1:42













  • ... or narrowing down to an actual question.

    – Ted Lyngmo
    Nov 25 '18 at 1:43











  • Take a look at this.

    – Ken Dekalb
    Nov 25 '18 at 3:29


















0















I have a time series analysis to model NDVI.
I used the following code:



import numpy as np

from pandas import Series

from matplotlib import pyplot

series = Series.from_csv('WSC-10-50.csv', header=0)

pyplot.subplots(figsize=(20, 10))

pyplot.plot(series)

pyplot.show()



print(series.describe())


How do I remove any outliers from the data set and replot?
I would also like to run the best fit line across new plot with the outliers removed



Any help?






python pandas scipy cross-validation







share|improve this question

























  • The question is too broad. Consider asking it on Cross Validated; you may have a better response rate.

    – DYZ
    Nov 25 '18 at 1:42













  • ... or narrowing down to an actual question.

    – Ted Lyngmo
    Nov 25 '18 at 1:43











  • Take a look at this.

    – Ken Dekalb
    Nov 25 '18 at 3:29














0












0








0








I have a time series analysis to model NDVI.
I used the following code:



import numpy as np

from pandas import Series

from matplotlib import pyplot

series = Series.from_csv('WSC-10-50.csv', header=0)

pyplot.subplots(figsize=(20, 10))

pyplot.plot(series)

pyplot.show()



print(series.describe())


How do I remove any outliers from the data set and replot?
I would also like to run the best fit line across new plot with the outliers removed



Any help?






python pandas scipy cross-validation







share|improve this question
















I have a time series analysis to model NDVI.
I used the following code:



import numpy as np

from pandas import Series

from matplotlib import pyplot

series = Series.from_csv('WSC-10-50.csv', header=0)

pyplot.subplots(figsize=(20, 10))

pyplot.plot(series)

pyplot.show()



print(series.describe())


How do I remove any outliers from the data set and replot?
I would also like to run the best fit line across new plot with the outliers removed



Any help?






python pandas scipy cross-validation




python pandas scipy cross-validation






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 25 '18 at 8:16









Ken Dekalb

317112




317112










asked Nov 25 '18 at 1:34









Selena ChavezSelena Chavez

275




275













  • The question is too broad. Consider asking it on Cross Validated; you may have a better response rate.

    – DYZ
    Nov 25 '18 at 1:42













  • ... or narrowing down to an actual question.

    – Ted Lyngmo
    Nov 25 '18 at 1:43











  • Take a look at this.

    – Ken Dekalb
    Nov 25 '18 at 3:29



















  • The question is too broad. Consider asking it on Cross Validated; you may have a better response rate.

    – DYZ
    Nov 25 '18 at 1:42













  • ... or narrowing down to an actual question.

    – Ted Lyngmo
    Nov 25 '18 at 1:43











  • Take a look at this.

    – Ken Dekalb
    Nov 25 '18 at 3:29

















The question is too broad. Consider asking it on Cross Validated; you may have a better response rate.

– DYZ
Nov 25 '18 at 1:42







The question is too broad. Consider asking it on Cross Validated; you may have a better response rate.

– DYZ
Nov 25 '18 at 1:42















... or narrowing down to an actual question.

– Ted Lyngmo
Nov 25 '18 at 1:43





... or narrowing down to an actual question.

– Ted Lyngmo
Nov 25 '18 at 1:43













Take a look at this.

– Ken Dekalb
Nov 25 '18 at 3:29





Take a look at this.

– Ken Dekalb
Nov 25 '18 at 3:29












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