predict-coin/testcase2.py

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2021-03-19 09:14:35 +00:00
# load and plot dataset
from pandas import read_csv
from pandas import datetime
from matplotlib import pyplot
from pandas import DataFrame
from pandas import concat
from pandas import read_csv
from pandas import datetime
import pandas as pd
from math import sqrt
import sklearn
from sklearn.metrics import mean_squared_error
# load dataset
def parser(x):
return datetime.strptime('190'+x, '%Y-%m')
series = read_csv('case2.csv', header=0, parse_dates=[0], index_col=0, squeeze=True, date_parser=parser)
# summarize first few rows
print(series.head())
# line plot
series.plot()
pyplot.show()