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)  

import csv file in python

import pandas as pd

df = pd.read_csv (r'Path where the CSV file is storedFile name.csv')
print (df)

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=',')

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)

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])

python reading csv files from web

import pandas as pd
data = pd.read_csv('https://example.com/passkey=wedsmdjsjmdd')

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 Read the CSV file

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

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)

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