PYTHON

python read csv

# pip install pandas 
import pandas as pd

# Read the csv file
data = pd.read_csv('data.csv')

# Print it out if you want
print(data)

python read file csv

import csv
with open('file_csv.csv', newline='') as file:
    reader = csv.reader(file)
    for row in reader:
        print(row)

reading a csv file in python

import csv

# open the file
with open('csvfile.csv' , 'r') as csvfile:
    # create the object of csv.reader()
    csv_file_reader = csv.reader(csvfile,delimiter=',')
    for row in csv_file_reader:
        print(row)  

python csv

import csv

with open('data.csv', 'r') as f:
    reader = csv.reader(f)
    # loop through each row and print each value
    for row in reader:
        for e in row:
            print(e)

with open('data.csv', 'r') as f:
    # change the delimiter from the default comma to another delimiter
    reader = csv.reader(f, delimiter="|")

    for row in reader:

        for e in row:
            print(e)

nums = [[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]]

with open('numbers2.csv', 'w') as f:
    writer = csv.writer(f)
    # write arrays as rows to CSV file
    for row in nums:
        writer.writerow(row)


with open('numbers2.csv', 'w') as f:

    writer = csv.writer(f, delimiter="+")
    # write arrays as row to CSV file with + as the delimiter instead of commas
    for row in nums:
        writer.writerow(row)

how to read a csv file in python

import csv
with open('some.csv', newline='') as f:
    reader = csv.reader(f)
    for row in reader:
        print(row)

open csv file in python

import csv
with open('filename.csv') as csvfile:
     spamreader = csv.reader(csvfile)
     for row in spamreader:
         print(row)

how to open csv file in python

import csv

with open('example.csv') as csvfile:
    readCSV = csv.reader(csvfile, delimiter=',')

python csv reader

with open(r'c:dlFrameRecentSessions.csv') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    line_count = 0
    for row in csv_reader:
        if line_count == 0:
            print(f'Column names are {", ".join(row)}')
            line_count += 1
        else:
            print(f'	{row[0]} works in the {row[1]} department, and was born in {row[2]}.')
            line_count += 1
    print(f'Processed {line_count} lines.')

how to open csv file in python

import pandas as pd # pip install pandas

#read the CSV file
data_file = =pd.read_csv('some_file.csv')
print(data_file)

python csv

import csv

header = ['name', 'area', 'country_code2', 'country_code3']
data = ['Afghanistan', 652090, 'AF', 'AFG']

with open('countries.csv', 'w', encoding='UTF8', newline='') as f:
    writer = csv.writer(f)
    # write the header
    writer.writerow(header)
    # write the data
    writer.writerow(data)

csv python

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}

how to read a csv file in python

import pandas as pd
df=pd.read_csv('the_file.csv')

read file csv in python

import pandas as pd
import numpy as np
datas = pd.read_csv('data.csv')
a = datas.to_numpy()
print(a[0])

csv python

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}

csv python

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}

read csv python

import pandas as pd 
data = pd.read_csv("filename.csv") 
data.head()

csv read python

# importing Pandas library
import pandas as pd
 
pd.read_csv(filepath_or_buffer = "pokemon.csv")
 
# makes the passed rows header
pd.read_csv("pokemon.csv", header =[1, 2])
 
# make the passed column as index instead of 0, 1, 2, 3....
pd.read_csv("pokemon.csv", index_col ='Type')
 
# uses passed cols only for data frame
pd.read_csv("pokemon.csv", usecols =["Type"])
 
# returns pandas series if there is only one column
pd.read_csv("pokemon.csv", usecols =["Type"],
                              squeeze = True)
                               
# skips the passed rows in new series
pd.read_csv("pokemon.csv",
            skiprows = [1, 2, 3, 4])

python csv

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}

csv python

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}

Python Read the CSV file

dataFrame = pd.read_csv("C:Usersamit_DesktopCarRecords.csv")

csv python

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}

read csv python

import csv

def read_csv(path):
  with open(path, 'r') as csvfile:
    reader = csv.reader(csvfile, delimiter=',')
    for row in reader:
      print("Row is: ",row)
      
read_csv(your_file_path)

read csv

df = pd.read_csv("sample_file.csv", usecols=col_list)

csv python

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}

python csv

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}

csv python

import csv
with open('eggs.csv', 'w', newline='') as csvfile:
    spamwriter = csv.writer(csvfile, delimiter=' ',
                            quotechar='|', quoting=csv.QUOTE_MINIMAL)
    spamwriter.writerow(['Spam'] * 5 + ['Baked Beans'])
    spamwriter.writerow(['Spam', 'Lovely Spam', 'Wonderful Spam'])

pthon read csv is csv file

import csv
with open('some.csv', 'w', newline='') as f:
    writer = csv.writer(f)
    writer.writerows(someiterable)

csv file python

this is for csv file python

csv python

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}

csv python

>>> import csv
>>> with open('names.csv', newline='') as csvfile:
...     reader = csv.DictReader(csvfile)
...     for row in reader:
...         print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese

>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}