(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/....".
Related
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')
I am newbee to JSON and python programming and I am looking for some help in converting below json data from Spotify related artist information to be able to load into excel or csv file.
Expected output columns:
expected output columns
JSON related artist information
you can use pandas in this case. here's an example
import pandas
pandas.read_json("spotify.json").to_excel("spotify.xlsx")
basically you need to install pandas first with this command
pip install pandas
then you can use it right away as i suggested. remember to put up the file in the same directory if you dont want to use path and change your current working directory like this
import os
path = os.path.abspath(os.path.dirname(sys.argv[0]))
os.chdir(path)
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.
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
This question already exists:
Reading CSV files in Python, using Jupyter Notebook through IntelliJ IDEA
Closed 4 years ago.
Im trying to tackle the Kaggle Titanic challenge. Bear with me, as Im fairly new to data science. I was previously struggling to get the following syntax to work: my previous question(Reading CSV files in Python 3.6, using IntelliJ IDEA)
Reading CSV files in Python, using Jupyter Notebook through IntelliJ IDEA
import numpy as np
import pandas as pd
from pandas import Series,Dataframe
titanic_df = pd.read_csv('train.csv')
titanic.head()
However, using the below code, I am able to open the file and read it/print its contents, but i need to convert the data to a dataframe so that it can be worked with. Any suggestions?
file_path = '/Volumes/LACIE SETUP/Data_Science/Data_Analysis_Viz_InPython/Example_Projects/train.csv'
with open(file_path) as train_fp:
for line in train_fp:
# print(line)
This above code was able to print out the data but when I tried passing
'file_path' to:
titanic_df = pd.read_csv('file_path.csv')
i received the same error as before. Not sure what Im doing wrong. I KNOW the file 'train.csv' exists in that location because 1) i put it there and 2) its contents can be printed when pointed to its location.
So what the heck am I doing wrong??? :/
read_csv will create a Pandas DataFrame. So, as long as your file path is right, this following code should work. Also, make sure to use the file_path variable and not the string "file_path.csv"
import pandas as pd
file_path = '/Volumes/LACIE SETUP/Data_Science/Data_Analysis_Viz_InPython/Example_Projects/train.csv'
titanic_df = pd.read_csv(file_path)
titanic_df.head()