I have uploaded a simple python package in https://test.pypi.org. When I download this with pip and try yo run I get FileNotFoundError: [Errno 2] File b'data/spam_collection.csv' does not exist: b'data/spam_collection.csv'
. Earlier I had issues with uploading the csv file when packaging. See my question in Could not upload csv file to test.pypi.org. Now after installing the package with pip I run pip show -f bigramspamclassifier
. I get the csv file listed. Therefore, I believe the file has been uploaded. I think the issue is with reading the file in my python file in the package. What should be the path to the csv file in SpamClassifier.py?
pip show -f bigramspamclassifier
Version: 0.0.3
Summary: A bigram approach for classifying Spam and Ham messages
Home-page: ######
Author: #####
Author-email: #######
Location: /home/kabilesh/PycharmProjects/TestPypl3/venv/lib/python3.6/site-packages
Requires: nltk, pandas
Required-by:
Files:
bigramspamclassifier-0.0.3.dist-info/INSTALLER
bigramspamclassifier-0.0.3.dist-info/LICENSE
bigramspamclassifier-0.0.3.dist-info/METADATA
bigramspamclassifier-0.0.3.dist-info/RECORD
bigramspamclassifier-0.0.3.dist-info/WHEEL
bigramspamclassifier-0.0.3.dist-info/top_level.txt
bigramspamclassifier/SpamClassifier.py
bigramspamclassifier/__init__.py
bigramspamclassifier/__pycache__/SpamClassifier.cpython-36.pyc
bigramspamclassifier/__pycache__/__init__.cpython-36.pyc
bigramspamclassifier/data/spam_collection.csv
My project file structure
Path to csv in SpamClassifier.py file #This what I want to know
def classify(self):
fullCorpus = pd.read_csv("data/spam_collection.csv", sep="\t", header=None)
fullCorpus.columns = ["lable", "body_text"]
Your script is attempting to load the spam_collection.csv
file from a relative path. Relative paths are loaded relative to where python
is being invoked, not where the source file is.
This means that when you're running your module from the bigramspamclassifier
directory, this will work. However, once your module is pip
-installed, file will no longer be relative to where you're running your code from (it will be buried somewhere in your installed libraries).
You can instead load relative to the source file by doing something like:
import os
this_dir, this_filename = os.path.split(__file__)
DATA_PATH = os.path.join(this_dir, "data", "spam_collection.csv")
fullCorpus = pd.read_csv(DATA_PATH, sep="\t", header=None)
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