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marks10th.head() | |
marks12th.head() | |
IDandName.head() |
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allMarks=marks10th.append(marks12th) | |
marks10th.shape, marks12th.shape, allMarks.shape |
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allMarks['Exam Points'].mean() #Average Marks |
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allMarks['Exam Points'].max() # Maximum Marks |
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mergedData=allMarks.merge(IDandName, on='student id') | |
mergedData.head() |
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mergedData.loc[mergedData['Exam Points']==100] |
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import pandas as pd | |
marks10th=pd.read_csv('10thClassMarks.csv') | |
marks12th=pd.read_csv('12thClassMarks.csv') | |
IDandName=pd.read_csv('StudentIDandName.csv') |
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import pymongo | |
import pprint | |
mongo_uri = "mongodb://localhost:27017/" | |
client = pymongo.MongoClient(mongo_uri) |
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client.list_database_names() |
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