Wednesday, October 3, 2018
Python Combine and Write Multiple Separate CSV Files Together
October 03, 2018
binary classification combine train test data
,
combine multiple csv by row
,
machine learning combine samples by row
,
pandas csv
,
Python read csv
,
write multiple csv
This code combines positive and negative training, testing data for performing binary classification machine learning.
Code:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | import pandas as pd train_positive_data = pd.read_csv('csv_files/trainPositive.csv', header=None) train_negative_data = pd.read_csv('csv_files/trainNegative.csv', header=None) test_positive_data = pd.read_csv('csv_files/testPositive.csv', header=None) test_negative_data = pd.read_csv('csv_files/testNegative.csv', header=None) train_output = train_negative_data.append(train_positive_data) test_output = test_negative_data.append(test_positive_data) output_train_name = "csv_files/trainCombined.csv" train_output.to_csv(output_train_name, index=False, header=False) output_test_name = "csv_files/testCombined.csv" test_output.to_csv(output_test_name, index=False, header=False) |
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