Python 从熊猫数据框中获取最小和最大日期
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Getting min and max Date's from a pandas dataframe
提问by pyCthon
How do I get the min and max Date's from a dataframes major axis?
如何从数据帧主轴获取最小和最大日期？
value
Date
2014-03-13 10000.000
2014-03-21 2000.000
2014-03-27 2000.000
2014-03-17 200.000
2014-03-17 5.000
2014-03-17 70.000
2014-03-21 200.000
2014-03-27 5.000
2014-03-27 25.000
2014-03-31 0.020
2014-03-31 12.000
2014-03-31 0.022
Essentially I want a way to get the min and max dates,i.e. 2014-03-13and 2014-03-31. I tried using numpy.minor df.min(axis=0), I'm able to get the min or max value but thats not what I want
基本上我想要一种方法来获取最小和最大日期，即2014-03-13和2014-03-31. 我尝试使用numpy.minor df.min(axis=0)，我能够获得最小值或最大值，但这不是我想要的
采纳答案by Karl D.
'Date' is your index so you want to do,
“日期”是你的索引，所以你想做，
print (df.index.min())
print (df.index.max())
2014-03-13 00:00:00
2014-03-31 00:00:00
回答by J.Weed
min(df['some_property'])
max(df['some_property'])
The build-in function works fine with dataframe
内置函数适用于数据框
