May 15, 2016 · def read_csv(csv_file): data = [] with open(csv_file, 'r') as f: # create a list of rows in the CSV file rows = f.readlines() # strip white-space and newlines rows = list(map(lambda x:x.strip(), rows)) for row in rows: # further split each row into columns assuming delimiter is comma row = row.split(',') # append to data-frame our new row ...

Essentially we have a object type which we will put the data into, each user's data will go into one object containing 'name, age, startdate'. then we will populate each object and store them to a list in the order they were read from the file. import csv # We need a default object for each person class Person: def __init__(self, Name, Age ...

I have a CSV file, here is a sample of what it looks like: Year: Dec: Jan: 1 50 60 2 25 50 3 30 30 4 40 20 5 10 10 I know how to read the file in and print each

To read a CSV file as a pandas DataFrame, you'll need to use pd.read_csv, which has sep=',' as the default.. But this isn't where the story ends; data exists in many different formats and is stored in different ways so you will often need to pass additional parameters to read_csv to ensure your data is read in properly.

If pd.read_csv() is first in the try/except block and I upload a .csv file it works. If I attempt to upload a .xlsx file, I get this error: TypeError: expected str, bytes or os.PathLike object, not NoneType If pd.read_excel() is first in the try/except block and I upload an .xlsx file it works. If I attempt to upload a .csv file, I get this error:

Dec 5, 2014 · Read the last N lines of a CSV file in Python with numpy / pandas. 2. Reading large CSV files from nth ...

Dec 21, 2015 · Note that if you're on Python 2, you should see e.g. Python, Encoding output to UTF-8 and Convert UTF-8 with BOM to UTF-8 with no BOM in Python. You'll need to do some shenanigans with codecs or with str.decode for this to work right in Python 2. But in Python 3, all you need to do is set the encoding= parameter when you open the file.

Oct 7, 2017 · You can use pandas library or numpy to read the CSV file. If your file is tab-separated then use '\t' in place of comma in both sep and delimiter arguments below. import pandas as pd myFile = pd.read_csv('filepath', sep=',') Or . import numpy as np myFile = np.genfromtxt('filepath', delimiter=',')

Jun 13, 2015 · def read_file(bucket_name,region, remote_file_name, aws_access_key_id, aws_secret_access_key): # reads a csv from AWS # first you stablish connection with your passwords and region id conn = boto.s3.connect_to_region( region, aws_access_key_id=aws_access_key_id, aws_secret_access_key=aws_secret_access_key) # next you obtain the key of the csv ...

I'm currently trying to read data from .csv files in Python 2.7 with up to 1 million rows, and 200 columns (files range from 100mb to 1.6gb).