如何从python中另一列（连续数据）的范围数据中提取一列的平均值，最大值和最小值

Question

I have a dataframe with two columns Distance(m) and height(m) . I want to calculate the max , min and average height values from an interval of 0.04439 m of distance.

Distance is a continuous series from 0 to 0.81m each 0.00222m with a total of 403 values length .

The aim is to extract 18 values (max min average) of Height from 18 intervals each 0.0439m distance (the continuous distance series between 0 and 0.81m)

Then, create a dataframe (2 columns) of each distance interval and its respectively max min and avg value of height

this is an example:

Interval distance     Height_max(m)     Height_min(m)     Height_average(m)

1                       0.35            0.15           0.25  

2                       0.55            0.22           0.35  

3                       0.25            0.10           0.15

I have only 2 columns in my dataframe:

Distance(m) = [0, 0.0022, 0.0044, .... 0.81 ]
Height(m) = [ 0, 0.1, 0.5, 0.4, 0.9, .... 0.1]

Does anyone have any suggestions that can help me?

Thanks!

Answer 1

I believe you need cut for bining column by intervals and then aggregate by GroupBy.agg with list of aggregation functions:

d = pd.cut(df['Distance'], [0, 0.0022, 0.0044, .... 0.81 ])
h = pd.cut(df['Height'],  [0, 0.1, 0.5, 0.4, 0.9, .... 0.1])

df.groupby([d, h])['Height'].agg(['min','max','mean'])