I'm trying to create a dataframe using a csv file for an assignment however, every time I would run my program it would show me an error that the file couldn't be found. My code is the following:
import pandas as pd
df = pd.read_csv('thefile')
The code returns an error no matter where I place my file. When I checked for the path using the code below:
import os
print(os.getcwd())
It showed me that the path is correct and it is looking inside the folder where my csv file is located but it still returns me the same error.
When reading in files, the 'thefile' must be followed by a .csv extension in the reference, as follows; 'thefile.csv'.
You need to add .csv behind the thefile,
without it, it doesn't know which file to look for it could be thefile.txt, thefile.conf, thefile.csv, thefile.....
So your code should look like this.
import pandas as pd
df = pd.read_csv('thefile.csv')
Related
(Very new coder, first time here, apologies if there are errors in writing)
I have a csv file I made from Excel called SouthKoreaRoads.csv and I'm supposed to read that csv file using Pandas. Below is what I used:
import pandas as pd
import os
SouthKoreaRoads = pd.read_csv("SouthKoreaRoads.csv")
I get a FileNotFoundError, and I'm really new and unsure how to approach this. Could anyone help, give advice, or anything? Many thanks in advance
just some explanation aside. Before you can use pd.read_csv to import your data, you need to locate your data in your filesystem.
Asuming you use a jupyter notebook or pyton file and the csv-file is in the same directory you are currently working in, you just can use:
import pandas as pd SouthKoreaRoads_df = pd.read_csv('SouthKoreaRoads.csv')
If the file is located in another directy, you need to specify this directory. For example if the csv is in a subdirectry (in respect to the python / jupyter you are working on) you need to add the directories name. If its in folder "data" then add data in front of the file seperated with a "/"
import pandas as pd SouthKoreaRoads_df = pd.read_csv('data/SouthKoreaRoads.csv')
Pandas accepts every valid string path and URLs, thereby you could also give a full path.
import pandas as pd SouthKoreaRoads_df = pd.read_csv('C:\Users\Ron\Desktop\Clients.csv')
so until now no OS-package needed. Pandas read_csv can also pass OS-Path-like-Objects but the use of OS is only needed if you want specify a path in a variable before accessing it or if you do complex path handling, maybe because the code you are working on needs to run in a nother environment like a webapp where the path is relative and could change if deployed differently.
please see also:
https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html
https://docs.python.org/3/library/os.path.html
BR
SouthKoreaRoads = pd.read_csv("./SouthKoreaRoads.csv")
Try this and see whether it could help!
Try to put the full path, like "C:/users/....".
I am doing something very simple, converting an excel spreadsheet to a pandas dataframe, but for some reason I keep getting this error: No such file or directory....
I have the file downloaded and saved to my computer and restarted my program, so I don't know what could be wrong. Any clue what's up?
Here is my code...
import pandas as pd
file_name ="file.xlsx"
dataframe = pd.read_excel(file_name)
print(dataframe)
You should have your "file.xlsx" in the same directory from where you call 'python' or specify full path to it (e.g. 'C:\file.xlsx' or '/home/user/file.xlsx')
I just want to import this csv file. It can read it but somehow it doesn't create columns. Does anyone know why?
This is my code:
import pandas as pd
songs_data = pd.read_csv('../datasets/spotify-top50.csv', encoding='latin-1')
songs_data.head(n=10)
Result that I see in Jupyter:
P.S.: I'm kinda new to Jupyter and programming, but after all I found it should work properly. I don't know why it doesn't do it.
To properly load a csv file you should specify some parameters. for example in you case you need to specify quotechar:
df = pd.read_csv('../datasets/spotify-top50.csv',quotechar='"',sep=',', encoding='latin-1')
df.head(10)
If you still have a problem you should have a look at your CSV file again and also pandas documentation, so that you can set parameters to match with your CSV file structure.
My first question here.
I have been working with python on jupyter notebook for a personal project. I am using a code to dynamically allow users to select a csv file on which they wish to test my code on. However, I am not sure how to extract the name of this file once I have uploaded this file. The code goes on as follows:
***import numpy as np
import pandas as pd
from pandas import Series, DataFrame
import io
from google.colab import files
from scipy import stats
uploaded = files.upload()
df = pd.read_csv(io.BytesIO(uploaded['TestData.csv']))
df.head()
.
.
.***
As you can see, after the upload when I try to read the file, I have to type its name manually in the code. Is there a way to automatically capture the name of the file in a variable and then I can use the same while calling the pandas read function?
I am trying to read into a pandas dataframe from a csv. The data is in the format:
date,total_bytes
2018-08-27,1.84E+14
2018-08-30,1.90E+14
2018-08-31,1.93E+14
My code looks like:
from pandas import read_csv
from pandas import datetime
from matplotlib import pyplot
series =
read_csv(r'/Users/taylorjewell/Desktop/dataset_size_daily.csv',
header=0)
print(series.head())
series.plot()
pyplot.show()
Despite that path existing (I have checked countless times), I am getting a file not found exception for some reason:FileNotFoundError: File b'/Users/taylorjewell/Desktop/dataset_size_daily' does not exist
I am running this on a mac if that is relevant. Any help you are able to offer would be much appreciated!!
For file paths, I would suggest using pathlib:
from pathlib import Path
data_file = Path("/Users/taylorjewell/Desktop/dataset_size_daily.csv")
series = read_csv(data_file, header=0)
However, it also depends on where you are trying to access the file from.
i dont think you need to use the r bit for mac
try
read_csv('/Users/taylorjewell/Desktop/dataset_size_daily.csv',
header=0)
Just ran into this issue today and wanted to share-
If you download a CSV file to a mac
But then open the file and save it
The file extension changes to .numbers
So make sure you just move the file without opening it, and double-check that the file extension is .csv