34bb804189
* LLM: check csv and its corresponding yaml file * run PR arc perf test * modify the name of some variables * execute the check results script in right place * use cp to replace mv command * resolve some comments * resolve more comments * revert the llm_performance_test.yaml file
46 lines
1.5 KiB
Python
46 lines
1.5 KiB
Python
#
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# Copyright 2016 The BigDL Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# Python program to concat CSVs
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import os
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import sys
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import argparse
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import pandas as pd
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def main():
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parser = argparse.ArgumentParser(description="concat .csv files")
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parser.add_argument("-f", "--folder_path", type=str, dest="folder_path",
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help="The directory which stores the .csv files", default="./")
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args = parser.parse_args()
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csv_files = []
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for file_name in os.listdir(args.folder_path):
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file_path = os.path.join(args.folder_path, file_name)
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if os.path.isfile(file_path) and file_name.endswith(".csv"):
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csv_files.append(file_path)
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csv_files.sort()
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df1 = pd.read_csv(csv_files[0], index_col=0)
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df2 = pd.read_csv(csv_files[1], index_col=0)
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merged_df = pd.concat([df1, df2], ignore_index=True)
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merged_df.reset_index(drop=True, inplace=True)
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merged_csv=csv_files[0].replace("_test1", "")
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merged_df.to_csv(merged_csv)
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if __name__ == "__main__":
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sys.exit(main())
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