Panda: read csv datetime: Difference between revisions
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x = pandas.read_csv('/home/onno/TensorFlow/TEMP-train.csv', parse_dates=True, index_col='DateTime', | x = pandas.read_csv('/home/onno/TensorFlow/TEMP-train.csv', parse_dates=True, index_col='DateTime', | ||
names=['DateTime', 'X'], header=None, sep=',') | names=['DateTime', 'X'], header=None, sep=',') | ||
x | print(x) | ||
x.info() | |||
==Cara 2== | ==Cara 2== | ||
Revision as of 02:01, 7 August 2019
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()
Cara 2
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)
