返回数据帧中两列的最大值（Pandas）
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Return the maximum value of two columns in a dataframe (Pandas)
提问by Flora
I currently have a dataframe and would like to return the minimum value of two columns (eg. X and Y).
我目前有一个数据框，想返回两列（例如 X 和 Y）的最小值。
I have tried:
我试过了：
print(df.loc[:, ['X', 'Y']].min())
However, it prints out:
但是，它打印出：
Control NSAF -9.851210
Wild NSAF -9.730507
dtype: float64
Whereas I just want -9.851210. Is there a way to just get the single minimum number?
而我只想要-9.851210。有没有办法只获得单个最小数字？
Thank you
谢谢
回答by YOBEN_S
Add one more min
再添加一个 min
print(df.loc[:, ['X', 'Y']].min().min())
回答by Chetan_Vasudevan
The below given example may be useful for you to find
下面给出的示例可能对您有用
maximum and minimum of "X" and "Y" columns
“X”和“Y”列的最大值和最小值
df[["X", "Y"]].max(axis=1)
df[["X", "Y"]].min(axis=1)
回答by piRSquared
use the numpy minmethod on the underlying valuesattribute
min在底层values属性上使用 numpy方法
df.loc[:, ['X', 'Y']].values.min()
You can even find the locations of 'X'and 'Y'ahead of time
你甚至可以找到的地点'X'和'Y'时间提前
j = [df.columns.get_loc(c) for c in ['X', 'Y']]
df.values[:, j].min()
