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mindyyy-hsu revised this gist
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -10,13 +10,19 @@ aws_access_key_id=AWS_ACCESS_KEY_ID, aws_secret_access_key=AWS_SECRET_ACCESS_KEY, ) listOfObject = [] resp = s3.list_objects_v2(Bucket='your-bucket-name') for obj in resp['Contents']: # list key of object listOfObject.append(obj['Key']) print(obj['Key']) print(listOfObject) # list to DataFrame listDataFrame = pandas.DataFrame(listOfObject) # export to csv listDataFrame.to_csv('list.csv') -
mindyyy-hsu revised this gist
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mindyyy-hsu renamed this gist
Jul 26, 2018 . 1 changed file with 4 additions and 3 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -1,5 +1,6 @@ import boto3 import pandas AWS_ACCESS_KEY_ID = 'YOUR_AWS_ACCESS_KEY_ID' AWS_SECRET_ACCESS_KEY = 'YOUR_AWS_SECRET_ACCESS_KEY' @@ -16,6 +17,6 @@ print(obj['Key']) print(listOfObject) listDataFrame = pandas.DataFrame(listOfObject) listDataFrame.to_csv('list.csv') -
mindyyy-hsu created this gist
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,21 @@ import boto3 import pandas AWS_ACCESS_KEY_ID = 'YOUR_AWS_ACCESS_KEY_ID' AWS_SECRET_ACCESS_KEY = 'YOUR_AWS_SECRET_ACCESS_KEY' # connect to s3 s3 = boto3.client( 's3', aws_access_key_id=AWS_ACCESS_KEY_ID, aws_secret_access_key=AWS_SECRET_ACCESS_KEY, ) listOfObject = [] resp = s3.list_objects_v2(Bucket='your-bucket-name') for obj in resp['Contents']: listOfObject.append(obj['Key']) print(obj['Key']) #print(listOfObject) #listDataFrame = pandas.DataFrame(listOfObject) #listDataFrame.to_csv('list.csv')