2

I have values from submission that I appended into a data frame that look like the following:

df['SalePrice'] = submission

0       [381659.34]
1       [639894.75]
2       [189159.39]
3       [203588.45]
4       [609621.25]

I tried to remove the brackets from each side of the float with this code:

df['SalePrice'] = df.SalePrice.replace("[","").replace("]","")  
print(df['SalePrice'])

I am not able to remove the brackets. Is there any way to clean-up this float in Python?

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2 Answers 2

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4

Try str and strip:

df.SalePrice.str.strip('[]')
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7 Comments

When I ran df.SalePrice.str.strip('[]'), the whole content is erased and I get NaN as an answer
That is odd. I tried with the data you provided and it worked. can you try if df.SalePrice.str.replace('[','') works?
This is my code block: submission = []; for ele in regressor.predict(input_fn=lambda: input_fn(df_test, shuffle=False, batch_size=32)): submission.append(np.expm1(ele['predictions'])) df = pd.DataFrame(columns = ['Id', 'SalePrice']); df['Id'] = df_test['Id']; df['SalePrice'] = submission; df['SalePrice'] = df.SalePrice.str.replace('[',''); print(df['SalePrice']); I get NaN as an answer
can you try type(df['SalePrice'][0])
here is the result: <class 'numpy.ndarray'>
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2

Try flattening the list before you put it into the dataframe:

submission_flat = [item for sublist in submission for item in sublist]
df['SalePrice'] = submission_flat
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1 Comment

That worked: submission_flat = [item for sublist in submission for item in sublist] df['SalePrice'] = submission_flat df['SalePrice'] = round(df['SalePrice'],2)

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