Reputation: 2766
In[1]:
path='/Users/apple/Downloads/train.csv'
open(path).readline()
Out[1]:
FileNotFoundError Traceback (most recent call
last)
<ipython-input-7-7fad5faebc9b> in <module>()
----> 1 open(path).readline()
FileNotFoundError: [Errno 2] No such file or directory:
'/Users/apple/Downloads/train.csv'
I'm confused a lot.I thought this code is exactly similar with many tutorials, and I'm sure I have this file in the right path, but why does it not works?
Upvotes: 33
Views: 342821
Reputation: 1
I created a folder named Linear Regrassion as visible in the file browser image copy path. Then uploaded the .csv files alongwith the jupyter file (.ipynb) into that folder. Following this, this code allows the file to be read.
import os
import pandas as pd
train_file=os.path.abspath('Property_train (1).csv')
test_file=os.path.abspath('Property_test_share (1).csv')
ld_train=pd.read_csv(train_file)
ld_test=pd.read_csv(test_file)
Then type in the file name in the abspath() as argument. Just the file name, not the folder name. or copy path but then delete the folder name copy path.
Works fine. Hope it helps.
Upvotes: 0
Reputation: 203
From within VSCode, using Jupyter extension. The "cereals.csv" was in the same folder as the notebook.
import os
import pandas as pd
cereals_csv = os.path.abspath("cereals.csv")
with open(cereals_csv) as file:
myDf = pd.read_csv(file)
display(myDf)
Upvotes: 0
Reputation: 21
The simplest way for avoiding confusion is to use a relative path.
You can do so by using ./
to have the current folder of your notebook as a root.
Please note that it will require you to have the .csv ( or other filetypes) located in the same folder or below the folder where the actual notebook is saved.
This is advised as good practice. If it's not possible for you to save your data close to the notebook then please DON'T follow the next steps.
Let's say that your Jupyter notebook is located in 'C:\Users\User123\python_programs\exampyle\exampyle_notebook.ipynb'
You can whether:
path = './mydata.csv'
path = './assests/mydata.csv'
Upvotes: 2
Reputation: 21
In windows , use windows explorer and go to the specified folder that contain your files. press shift + R.click > open windows power shell her > (run) Jupyter-lab (or) Jupyter notebook
in this case all the selected folder files will be in the Jupyter navigation pan. regards.
Upvotes: 0
Reputation: 11
On a windows system:
Note: No space between the double \
Upvotes: 1
Reputation: 1
On Windows you can use this code to read a local file stored in Parquet format: (Note that you might need to install 'pyarrow', if not already installed to be able to read Parquet files)
import pandas as pd
my_parquet = r'C:\Users\User123\Downloads\yellow.parquet'
df = pd.read_parquet(my_parquet)
Upvotes: -1
Reputation: 1
From my experience, In anaconda, create a environment and click on play symbol on that env and click open terminal. That's where you type cd path (if you store the file in C drive, copy the path of the drive and paste beside cd). After clicking enter write jupyter notebook. You'll see a chrome page opened.
Upvotes: -1
Reputation: 313
To start Jupyter Notebook in Windows:
jupyter notebook
You can further navigate from the UI of Jupyter notebook after you launch it (if you are not directly launching the right file.)
OR you can directly drag and drop the file to the cmd, to open the file.
C:\Users\kushalatreya>jupyter notebook "C:\Users\kushalatreya\Downloads\Material\PythonCourseFolder\PythonCourse-DataTypes.ipynb"
Upvotes: 3
Reputation: 1746
Install jupyter. Open terminal. Go to folder where you file is (in terminal ie.cd path/to/folder
). Run jupyter notebook
. And voila: you have something like this:
Notice that to open a notebook in the folder, you can either click on it in the browser or go to address:
http://localhost:8888/notebooks/name_of_your_file.ipynb
Upvotes: 9
Reputation: 627
simple way is to move your files to be read under the same folder of your python file, then you just need to use the name of the file, without calling another path.
Upvotes: 1
Reputation:
Here's a possibile solution (in Python):
Let's say you have a notebook with a file name, call it Notebook.ipynb. You are currently working in that notebook, and want to access other folders and files around it. Here's it's path:
import os
notebook_path = os.path.abspath("Notebook.ipynb")
In other words, just use the os module, and get the absolute path of your notebook (it's a file, too!). From there, use the os module and your path to navigate.
For example, if your train.csv is in a folder called 'Datasets', and the notebook is sitting right next to that folder, you could get the data like this:
train_csv = os.path.join(os.path.dirname(notebook_path), "Datasets/train.csv")
with open(train_csv) as file:
#....etc
The takeaway is that the notebook has a file name, and as long as your language supports pathname manipulations (e.g. the os module in Python) you can likely use the notebook filename.
Lastly, the reason your code fails is probably because you're either trying to access local files (like your Mac's 'Downloads' folder) when you're working in an online Notebook (like Kaggle, which hosts your environment for you, online and away from your Mac), or you moved or deleted something in that path. This is what the os module in Python is meant to do; it will find the file's path whether it's on your Mac or in a Kaggle server.
Upvotes: 19
Reputation: 36662
On osX
, Your path should be:
path = "/Users/name/Downloads/filename"
with name
the current user logged in
Upvotes: 11
Reputation: 37
I do not know if it's what you were looking for, but it sounds to me something like this.
This is for linux (ubuntu) but maybe it also works on mac:
If the file is a pdf called 'book.pdf' and is located in your downloads, then
import subprocess
path='/home/user/Downloads/book.pdf'
subprocess.call(['evince', path])
where evince is the program that open pdfs in ubuntu
Upvotes: 0
Reputation: 2766
Many tutorials said that we should change Jupyter's workflow, but I didn't get it.
Finally, I find an easy way: Just drags file to this part.
Upvotes: 22
Reputation: 7618
I would suggest you to test it firstly:
copy this train.csv
to the same directory as this jupyter script in and then change the path to train.csv
to test whether this can be loaded successfully.
If yes, that means the previous path input is a problem
If not, that means the file it self denied your access to it, or its real filename can be something else like: train.csv.<hidden extension>
Upvotes: 2
Reputation: 99
Are you running this on Windows or Linux? If you're on Windows,then you should be use a path like C:\\Users\\apple\\Downloads\train.csv
. If you're on Linux, then you can follow the same path.
Upvotes: 9