Removing outlier from time series analysis using pandas
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
edited Nov 25 '18 at 8:16
Ken Dekalb
317112
asked Nov 25 '18 at 1:34
Selena ChavezSelena Chavez
275
add a comment |
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
edited Nov 25 '18 at 8:16
Ken Dekalb
317112
asked Nov 25 '18 at 1:34
Selena ChavezSelena Chavez
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
add a comment |
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
edited Nov 25 '18 at 8:16
Ken Dekalb
317112
asked Nov 25 '18 at 1:34
Selena ChavezSelena Chavez
275
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
edited Nov 25 '18 at 8:16
Ken Dekalb
317112
asked Nov 25 '18 at 1:34
Selena ChavezSelena Chavez
275
edited Nov 25 '18 at 8:16
Ken Dekalb
317112
asked Nov 25 '18 at 1:34
Selena ChavezSelena Chavez
275
edited Nov 25 '18 at 8:16
Ken Dekalb
317112
edited Nov 25 '18 at 8:16
Ken Dekalb
317112
edited Nov 25 '18 at 8:16
Ken Dekalb
317112
317112
asked Nov 25 '18 at 1:34
Selena ChavezSelena Chavez
275
asked Nov 25 '18 at 1:34
Selena ChavezSelena Chavez
275
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
add a comment |
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
add a comment |
0
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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