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本帖最后由 AIDENJIAN 于 2018-10-27 14:47 编辑
import numpy as np
from sklearn.cluster import DBSCAN
from sklearn import metrics
from sklearn.datasets.samples_generator import make_blobs
from sklearn.preprocessing import StandardScaler
import warnings
import itertools
import pandas as pd
import numpy as np
import datetime as dt
import statsmodels.api as sm
import matplotlib.pyplot as plt
plt.style.use('fivethirtyeight')
fpath = "../input/"
fname = "iap.csv"
fpath = "../realAWSCloudwatch/"
fname = "ec2_cpu_utilization_825cc2.csv"
# fname = "grok_asg_anomaly.csv"
fullPath = fpath + fname
def parser(x):
return dt.datetime.strptime(x, "%Y-%m")
# return dt.datetime.strptime(x, "%Y-%m-%d %H:%M:%S")
data = pd.read_csv(fullPath)
data.plot()
小弟的ec2_cpu_utilization_825cc2数据摆在电脑的C:\Users\YEN-YU\input\realAWSCloudwatch\ec2_cpu_utilization_825cc2.csv 路径
请问这组程式码如何修改才能正确读取?
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