Panda: read csv datetime

Cara 1

import pandas as pd
from datetime import datetime
headers = ['col1', 'col2', 'col3', 'col4'] 
dtypes = [datetime, datetime, str, float] 
pd.read_csv(file, sep='\t', header=None, names=headers, dtype=dtypes)

import pandas as pd
from datetime import datetime
headers = ['Time', 'Value'] 
dtypes = [datetime, float] 
pd.read_csv(file, sep=',', header=None, names=headers, dtype=dtypes)

Cara 1

import pandas
x = pandas.read_csv('/home/onno/TensorFlow/TEMP-train.csv', parse_dates=True, index_col='DateTime', 
                                names=['DateTime', 'X'], header=None, sep=',')
print(x)
x.info()
print(x.head())

Cara 2

df = pd.read_csv(file, sep = ',', parse_dates= [col],encoding='utf-8-sig', usecols= ['Date', 'ids'],)

Cara 3

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

infile = '/home/onno/TensorFlow/TEMP-train.csv'
mydateparser = lambda x: pd.datetime.strptime(x, "%Y-%m-%d %H:%M:%S")
df = pd.read_csv(infile, sep=',', names=['datetime', 'value'], parse_dates=['datetime'], date_parser=mydateparser)