Removing outlier from time series analysis using pandas
Multi tool use
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
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53463947%2fremoving-outlier-from-time-series-analysis-using-pandas%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
draft saved
draft discarded
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53463947%2fremoving-outlier-from-time-series-analysis-using-pandas%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Y,u4Cr9IZ7y u,nVuUp7f2GzJCHREnosqPQMgDdVHfrXb6buB8Wylcbt4r9MP,T7c238f89JM 28vAKz31FxTeL
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