由于某种原因,这段代码给了我一个错误,我不知道为什么
Kaggle: Blue Book for Bulldozers - TrainAndValid.csv
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("bluebook-for-bulldozers/TrainAndValid.csv",
low_memory=False,
parse_dates=["saledate"])
fig, ax = plt.subplots()
ax.scatter(df["saledate"][:1000], df["SalePrice"][:1000])
df[“saledate”]的类型为“<;M8[ns]”和df[“SalePrice”]为float64类型,以防有任何关联。我不确定为什么这段代码不起作用,因为我正在学习一个在线教程,并编写了完全相同的代码
以下是df[“saledate”]和df[“SalePrice”]的前十个元素:
# read in with
df = pd.read_clipboard(sep=',')
saledate,SalePrice
2006-11-16,66000.0
2004-03-26,57000.0
2004-02-26,10000.0
2011-05-19,38500.0
2009-07-23,11000.0
2008-12-18,26500.0
2004-08-26,21000.0
2005-11-17,27000.0
2009-08-27,21500.0
2007-08-09,65000.0
2008-08-21,24000.0
2006-08-24,22500.0
2005-10-20,36000.0
2006-01-26,30500.0
2006-01-03,28000.0
2006-11-16,19000.0
2007-06-14,13500.0
2010-01-28,9500.0
2006-03-09,12500.0
2005-11-17,11500.0
目前没有回答
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