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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Dataset with timestamp features.
Creating the DataPot object.
Step1:  Let's call the fit method. It automatically finds appropriate transformers for the fields of jsonlines file. The parameter 'limit' means how many objects will be used to detect the right transformers.
Step2:  Let's remove the SVDOneHotTransformer
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Python Code:
import datapot as dp
datapot = dp.DataPot()
from datapot.utils import csv_to_jsonlines
csv_to_jsonlines('../data/transactions.csv', '../data/transactions.jsonlines')
ftr = open('../data/transactions.jsonlines')
Explanation: Dataset with timestamp features.
Creating the DataPot object.
End of explanation
datapot.detect(ftr, limit=100)
datapot.fit(ftr)
datapot
Explanation: Let's call the fit method. It automatically finds appropriate transformers for the fields of jsonlines file. The parameter 'limit' means how many objects will be used to detect the right transformers.
End of explanation
datapot.remove_transformer('merchant_id', 0)
data = datapot.transform(ftr)
data.head()
data.columns
Explanation: Let's remove the SVDOneHotTransformer
End of explanation
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