Python/api_flask at main · vkalyanram/Python · GitHub

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from flask import Flask
from flask_restful import Api,Resource

app = Flask(__name__)
api = Api(app)

@app.route("/")
def hello_world():
    return "<p>Hello, World!</p>"
@app.route("/sum/<int:a>,<int:b>")
def sum1(a,b):
    return str(a+b)
@app.route("/avg/<int:a>,<int:b>")
def avg1(a,b):
    return str((a+b)/2)
if __name__=="__main__":
    app.run(debug=True)

    https://www.youtube.com/watch?v=GMppyAPbLYk

    *********************************************************
    import pandas as pd

#stat=mean
#col=coloumn_name
col="one"

class CSV_data():


 def __init__(self):
     df = pd.read_csv (r'student.csv')
 def data_col_mean(self):
    m1 = df['col'].mean()
    df['Diff-Mean']=[(x-int(m1)) for x in df.col]
    print ('Mean Marks: ' + str(m1))
    print ('avgMeandiff Marks: ' + str(df['Diff-Mean'].median()))
    print ('Min Meandiff Marks: ' + str(df['Diff-Mean'].min()))
    print ('Max Meandiff Marks: ' + str(df['Diff-Mean'].max()))

 def data_col_median(self):
    m2 = df['col'].median()
    df['Diff-Median']=[(x-int(m2)) for x in df.col]

    print ('avgMediandiff Marks: ' + str(df['Diff-Median'].median()))
    print ('Min Mediandiff Marks: ' + str(df['Diff-Median'].min()))
    print ('Max Mediandiff Marks: ' + str(df['Diff-Median'].max()))


c=CSV_data()
print(c.df(head))

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