can't read csv file using pd.read_csv() method in test class-CodePudding

import sys
import numpy as np
import pandas as pd

sys.path.insert(0, sys.argv[2])
sys.path.insert(1, sys.argv[3])

from training import CustomerSegmentation

class TestCustomerSegmentation:

    dataset = pd.read_csv(
    sys.path.pop(1),
    parse_dates=["InvoiceDate"],
    )

then by giving command line arguments:

python3 -m pytest test_training.py "customer-segmentation-v1" "customer-segmentation-v1/customer_data.csv"

it gives an error:

ERROR: not found: /customer-segmentation-v1/customer_data.csv (no name '/customer-segmentation-v1/customer_data.csv' in any of [])

I want my test class to read the csv data file that is present on the path given as command line argument.

CodePudding user response：

How about creating a virtual environment for your project first and running the codes in the Virtual environment.

py -m venv environment
environment\Scripts\activate

Try creating an environment and run your project inside the environment.

CodePudding user response：

you must add the file into the same folder. or maybe this link is useful for you here https://www.machinelearningplus.com/pandas/pandas-read_csv-completed/