[英]Intrepolating between two data frames
i have two data frames 我有两个数据帧
a= A =
x y
10 10
47 9
58 8
68 7
75 6
80 5
b= b =
x y
45 10
55 9
66 8
69 7
79 6
82 5
I want to interpolate between them and generate new data frame with N sampling rate 我想在它们之间进行插值并生成具有N个采样率的新数据帧
assume N=3 for this example 假设此示例N = 3
output is 输出是
x y
10 10
17.5 10
45 10
47 9
51 9
55 9
68 7
68.5 7
69 7
75 6
77 6
79 6
80 5
81 5
82 5
what funcions of pandas should I use ?? 我应该使用什么功能的熊猫? please help ! 请帮忙 !
First, you could use df.sample to generate new datas for x only after pd.merge data. 首先,您可以使用df.sample仅在pd.merge数据之后为x生成新数据。 Then you should use df.interpolate ... You've got some example on my gist for interpolation... 那么你应该使用df.interpolate ...你已经有了一些例如在我的要点进行插值...
dataset = pd.merge(a, b, left_on ='x', right_on='x', how='outer')
dataset = dataset.interpolate(method='slinear')
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