How to read a Time-series data in Python 3.7

Question

So today, I started with time-series data using Python. First, I tried reading the time series data from a CSV file by using the panda library pd

Unfortunately, I keep getting this error? Any help on this would be highly appreciated.

PS: I am using Python 3.73

address = 'C:/Users/Anih John/Desktop/Python-workstation/ff/Superstore-Sales.csv'
Superstore = pd.read_csv(address, index_col='Order Date',parse_dates=True)
print(Superstore)

Then I get the following error:

Unable to open 'parsers.pyx': Unable to read file (Error: File not found (c:\users\anih john\desktop\python-workstation\ff\pandas\_libs\parsers.pyx)).

Answer 1

I would try with the following commands:

import pandas as pd
address = 'C:\\Users\\Anih John\\Desktop\\Python-workstation\\ff\\Superstore-Sales.csv'
Superstore = pd.read_csv(address, index_col='Order Date',parse_dates=True, engine='python',sep=',')
print(Superstore)

EDIT: Or simply using the file in the read_csv function.

import pandas as pd
Superstore = pd.read_csv('C:\\Users\\Anih John\\Desktop\\Python-workstation\\ff\\Superstore-Sales.csv', index_col='Order Date',parse_dates=True, engine='python',sep=',')
print(Superstore)