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parser.py
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parser.py
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import pandas as pd
filepath = './data/data.csv'
def parsefile(filepath):
"""
param: takes the filepath of the data (supports csv only, change pd.read_method for others)
returns: list of email addresses
This function reads through a csv file and captures the email id column into a pd.Series object.
The object is converted into a list and returned.
Change the code of the function to suit the schema of the dataset. Usually done by providing the right column-name.
"""
df = pd.read_csv(filepath)
maillist = df.Email
maillist = list(maillist)
# print(type(maillist)) # type checking to verify is maillist is of type <class.list>
return maillist
def teamsparser(filepath):
"""
param: takes the filepath of the data (supports csv only, change pd.read_method for others)
returns: list of registration numbers
This function reads through a csv file and captures the registration num column into a pd.Series object.
The object is converted into a list and returned.
Change the code of the function to suit the schema of the dataset. Usually done by providing the right column-name.
"""
df = pd.read_csv(filepath)
regnums = df['ParticipantId']
regnums = list(regnums)
# print(type(regnums))
return regnums
if __name__ == '__main__':
parsefile(filepath)
# teamsparser(filepath)