ec9195da42
* LLM: using html to visualize the perf result for Arc * deploy the html file * add python license * reslove some comments
39 lines
No EOL
1.4 KiB
Python
39 lines
No EOL
1.4 KiB
Python
#
|
|
# Copyright 2016 The BigDL Authors.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
#
|
|
|
|
# Python program to convert CSV to HTML Table
|
|
|
|
import os
|
|
import sys
|
|
import argparse
|
|
import pandas as pd
|
|
|
|
def main():
|
|
parser = argparse.ArgumentParser(description="convert .csv file to .html file")
|
|
parser.add_argument("-f", "--folder_path", type=str, dest="folder_path",
|
|
help="The directory which stores the .csv file", default="../../dev/benchmark/all-in-one")
|
|
args = parser.parse_args()
|
|
|
|
csv_files = []
|
|
for file_name in os.listdir(args.folder_path):
|
|
file_path = os.path.join(args.folder_path, file_name)
|
|
if os.path.isfile(file_path) and file_name.endswith(".csv"):
|
|
csv_files.append(file_path)
|
|
|
|
a = pd.read_csv(csv_files[0], index_col=0).to_html(csv_files[0].split("/")[-1].split(".")[0]+".html")
|
|
|
|
if __name__ == "__main__":
|
|
sys.exit(main()) |