Python las 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
# 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)import pandas as pd # pip install pandas
#read the CSV file
data_file = =pd.read_csv('some_file.csv')
print(data_file)
import pandas as pd
import numpy as np
datas = pd.read_csv('data.csv')
a = datas.to_numpy()
print(a[0])>>> import csv
>>> with open('eggs.csv', newline='') as csvfile:
... spamreader = csv.reader(csvfile, delimiter=' ', quotechar='|')
... for row in spamreader:
... print(', '.join(row))
Spam, Spam, Spam, Spam, Spam, Baked Beans
Spam, Lovely Spam, Wonderful Spam
# 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])