Python 如何计算谷歌股票的高低百分比
如何计算Alphabet股票的高低百分比Python 如何计算谷歌股票的高低百分比,python,pandas,machine-learning,Python,Pandas,Machine Learning,如何计算Alphabet股票的高低百分比 import pandas as pd import quandl df = quandl.get('WIKI/GOOGL') df = df[['Adj. Open','Adj. High','Adj. Low','Adj. Close','Adj. Volume']] df['HL_PCT'] = (df['Adj. High'] - df['Adj. Close']) / df['Adj. Close']*100.00 df['PCT_chang
import pandas as pd
import quandl
df = quandl.get('WIKI/GOOGL')
df = df[['Adj. Open','Adj. High','Adj. Low','Adj. Close','Adj. Volume']]
df['HL_PCT'] = (df['Adj. High'] - df['Adj. Close']) / df['Adj. Close']*100.00
df['PCT_change'] = (df['Adj. Close'] - df['Adj. Open']) / df['Adj. Open ']*100.00
df = df[['Adj. Close','HL_PCT','HL_PCT','PCT_change','Adj. Volume']]
print(df.head())
这个问题有点草率,但我认为这正是你想要的。 但下次请仔细阅读提问内容
import quandl
df = quandl.get('WIKI/GOOGL')
df['HL_PCT'] = (df['Adj. High'] - df['Adj. Close']) / df['Adj. Close'] * 100.00
df['PCT_change'] = (df['Adj. Close'] - df['Adj. Open']) / df['Adj. Open'] * 100.00
print(df.head())
这就是这段视频中所做的:哦,好吧,现在我明白你想做什么了。我编辑了我的答案。如果你看一下除以df[“Adj.Open”]得到PCT_变化的位置,这里有一个空格。这是你要找的代码。当我在jupyter笔记本上再次运行代码时,它会显示一个错误。你会得到什么错误?如果是Quandl导入错误,则表示您没有正确安装Quandl。