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fillnan's Introduction

FillNaN

Fill NaN using clustering approach

How to use it ?

fn = FillNaN(filepath).fill()

Results ?

It's just a head of the top 10 dataframe's values.

Index Real Data Missing Data Filled Mean Filled Cluster
0 165349.20 NaN 73419.698372 149305.370000
1 162597.70 162597.700000 162597.700000 162597.700000
2 153441.51 153441.510000 153441.510000 153441.510000
3 144372.41 144372.410000 144372.410000 144372.410000
4 142107.34 NaN 73419.698372 149305.370000
5 131876.90 131876.900000 131876.900000 131876.900000
6 134615.46 NaN 73419.698372 107403.635714
7 130298.13 130298.130000 130298.130000 130298.130000
8 120542.52 120542.520000 120542.520000 120542.520000
9 123334.88 123334.880000 123334.880000 123334.880000

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