| # |
| # Copyright (c) 2021 Project CHIP 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. |
| # |
| """Collect memory information from csv files.""" |
| |
| import pandas as pd # type: ignore |
| |
| import memdf.name |
| |
| from memdf.util.config import Config, ConfigDescription |
| from memdf.df import DFs |
| |
| CONFIG: ConfigDescription = {} |
| |
| |
| def read_file(config: Config, filename: str, method: str = ',') -> DFs: |
| """Read a csv or tsv file into a data frame.""" |
| delimiter = {'csv': ',', 'tsv': '\t'}.get(method, method) |
| df = pd.read_csv(open(filename, 'r'), sep=delimiter, na_filter=False) |
| if df_class := memdf.df.find_class(df): |
| df_name = df.name |
| df = df.astype(df_class.dtype) |
| else: |
| df_name = memdf.name.UNKNOWN |
| return {df_name: df} |