Try
import pandas as pd
pd.read_csv("../data_folder/data.csv")
Pandas will start looking from where your current python file is located. Therefore you can move from your current directory to where your data is located with '..' For example:
pd.read_csv('../../../data_folder/data.csv')
Will go 3 levels up and then into a data_folder (assuming it's there) Or
pd.read_csv('data_folder/data.csv')
assuming your data_folder is in the same directory as your .py file.
For non-Windows users:
import pandas as pd
import os
os.chdir("../data_folder")
df = pd.read_csv("data.csv")
For Windows users:
import pandas as pd
df = pd.read_csv(r"C:\data_folder\data.csv")
The prefix r in location above saves time when giving the location to the pandas Dataframe.
You could use the __file__
attribute:
import os
import pandas as pd
df = pd.read_csv(os.path.join(os.path.dirname(__file__), "../data_folder/data.csv"))
Keeping things tidy with f-strings:
import os
import pandas as pd
data_files = '../data_folder/'
csv_name = 'data.csv'
pd.read_csv(f"{data_files}{csv_name}")
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