python get specefic value from HDF table

Question

I have two tables, the first one contains 300 rows, each row presents a case with 3 columns in which we find 2 constant values presenting the case,
the second table is my data table collected from sensors contains the same indicators as the first except the case column, the idea is to detect to which case belongs each line of the second table knowing that the data are not the same as the first but in the range, example:

First table :
[[1500, 22, 0], [1100, 40, 1], [2400, 19, 2]]
columns=[‘analog’, ‘temperature’, ‘case’])

second table :
[[1420, 20], [1000, 39], [2300, 29]]
columns=[‘analog’, ‘temperature’]

so the thing is i want for exemple to detect my first row (1420 20) belong to wich case ?

Asked By: Brell

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Source

Answer 1

What do you mean by belong? [1420, 20] belongs to [?,?,?]?

Answered By: SDA LS

Answer 2

You can simply use a classifier; K-NN for instance…

import pandas as pd
df = pd.DataFrame([[1500, 22, 0], [1100, 40, 1], [2400, 19, 2]],columns=['analog', 'temperature', 'case'])
df1 = pd.DataFrame([[1420, 10], [1000, 39], [2300, 29]],columns=['analog', 'temperature'])

from sklearn.neighbors import KNeighborsClassifier
classifier = KNeighborsClassifier(n_neighbors = 1, metric = 'minkowski', p = 2)
classifier.fit(df[['analog', 'temperature']], df["case"])
df1["case"] = classifier.predict(df1)

Output of df1;

   analog  temperature  case
0    1420           10     0
1    1000           39     1
2    2300           29     2

so, first row (1420 20) in df1 (2nd table) belongs to case 0…

Answered By: Sachin Kohli

python get specefic value from HDF table

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