“CSV Leer Python” Código de respuesta

Python Leer 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)
Random boi

Leer un archivo CSV en 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)  
Pythonist

Python Leer Archivo CSV

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

CSV Python Write

import csv

with open('names.csv', 'w') as csvfile:
    fieldnames = ['first_name', 'last_name']
    writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

    writer.writeheader()
    writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'})
    writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'})
    writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'})
Arrogant Addax

Cómo leer un archivo CSV en Python

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

CSV Leer 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])
Altaf Sammad Jogilkar

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