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General Tech Bugs & Fixes 2 years ago
Posted on 16 Aug 2022, this text provides information on Bugs & Fixes related to General Tech. Please note that while accuracy is prioritized, the data presented might not be entirely correct or up-to-date. This information is offered for general knowledge and informational purposes only, and should not be considered as a substitute for professional advice.
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Hello guys I know lots of similar questions i'll find here but i have a code which is executing properly which is returning five records also my query is how should i only read the entire file and atlast return with desire rows just supose i have csv file which have size in gb so i don't want to return the entire gb file data for getting only 5 records so please tell me how should i get it....Please if possible explain my code if it is not good why it is not good.. code:
import boto3 from botocore.client import Config import pandas as pd ACCESS_KEY_ID = 'something' ACCESS_SECRET_KEY = 'something' BUCKET_NAME = 'something' Filename='dataRepository/source/MergedSeedData(Parts_skills_Durations).csv' client = boto3.client("s3", aws_access_key_id=ACCESS_KEY_ID, aws_secret_access_key=ACCESS_SECRET_KEY) obj = client.get_object(Bucket=BUCKET_NAME, Key=Filename) Data = pd.read_csv(obj['Body']) # data1 = Data.columns # return data1 Data=Data.head(5) print(Data)
This my code which is running fine also getting the 5 records from s3 bucket but i have explained it what i'm looking for any other query feel free to text me...thnxx in advance
You can use the pandas capability of reading a file in chunks, just loading as much data as you need.
Data_iter = pd.read_csv(obj['Body'], chunksize = 5) Data = Data_iter.get_chunk() print(Data)
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