尝试使用一些数据运行此代码,但始终出现错误。你有什么办法解决这个问题吗?提前感谢:
import pandas as pd
import numpy as np
from scipy.signal import argrelextrema
import matplotlib.pyplot as plt
import datetime
#Import our historical data
data = pd.read_csv('Data/EURUSD.csv')
data.columns = [['Date', 'open', 'high', 'low', 'close', 'vol']]
data = data.drop_duplicates(keep=False)
data.Date = pd.to_datetime(data.Date,format='%d.%m.%Y %H:%M:%S.%f')
data = data.set_index(data.Date)
data = data[['open', 'high', 'close', 'vol']]
price = data.close.iloc[:100]
# Find our relative extrema
max_idx = argrelextrema(price.values,np.greater,order=1)
min_idx = argrelextrema(price.values,np.less,order=1)
print(max_idx)
print(min_idx)TypeError:只能将整数标量数组转换为标量索引
发布于 2019-10-07 06:14:35
访问字段的方式不正确。
例如,代替
pd.to_datetime(data.Date,format='%d.%m.%Y %H:%M:%S.%f')你应该
 pd.to_datetime(data.iloc(0)[0].Date, format='%d.%m.%Y %H:%M:%S.%f')附注:您在pastebin中发布的数据是以制表符分隔的。问题中的代码应更改为data = pd.read_csv('Data/EURUSD.csv', sep='\t')
https://stackoverflow.com/questions/58261373
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