{"id":6032,"date":"2025-08-03T16:18:56","date_gmt":"2025-08-03T08:18:56","guid":{"rendered":"http:\/\/192.168.1.29\/?p=6032"},"modified":"2025-08-03T16:18:56","modified_gmt":"2025-08-03T08:18:56","slug":"python-code-example-of-tsfresh%e5%ba%93","status":"publish","type":"post","link":"http:\/\/cnliutz.wicp.vip\/?p=6032","title":{"rendered":"python code example of tsfresh\u5e93"},"content":{"rendered":"\n

\u4ee3\u7801\u529f\u80fd\u89e3\u91ca<\/h3>\n\n\n\n

1. \u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h4>\n\n\n\n
test_tsfresh.pyApply
import pandas as pd
from tsfresh import extract_features, select_features
from tsfresh.utilities.dataframe_functions import impute
from sktime.datasets import load_arrow_head
import warnings
<\/code><\/pre>\n\n\n\n
    \n
  • pandas<\/code>\uff1a\u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u5206\u6790\uff0c\u63d0\u4f9b\u00a0DataFrame<\/code>\u00a0\u548c\u00a0Series<\/code>\u00a0\u7b49\u6570\u636e\u7ed3\u6784\u3002<\/li>\n\n\n\n
  • tsfresh<\/code>\uff1a\u7528\u4e8e\u4ece\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u63d0\u53d6\u548c\u9009\u62e9\u7279\u5f81\u3002extract_features<\/code>\u00a0\u7528\u4e8e\u63d0\u53d6\u7279\u5f81\uff0cselect_features<\/code>\u00a0\u7528\u4e8e\u9009\u62e9\u6709\u610f\u4e49\u7684\u7279\u5f81\uff0cimpute<\/code>\u00a0\u7528\u4e8e\u5904\u7406\u7f3a\u5931\u503c\u3002<\/li>\n\n\n\n
  • sktime.datasets.load_arrow_head<\/code>\uff1a\u7528\u4e8e\u52a0\u8f7d\u00a0Arrow Head<\/code>\u00a0\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u96c6\u3002<\/li>\n\n\n\n
  • warnings<\/code>\uff1a\u7528\u4e8e\u63a7\u5236\u8b66\u544a\u4fe1\u606f\u7684\u663e\u793a\u3002<\/li>\n<\/ul>\n\n\n\n
    2. \u5ffd\u7565\u8b66\u544a\u4fe1\u606f<\/h4>\n\n\n\n
    test_tsfresh.pyApply
    # \u5ffd\u7565 tsfresh \u53ef\u80fd\u51fa\u73b0\u7684\u8b66\u544a
    warnings.filterwarnings(\"ignore\", category=RuntimeWarning)
    warnings.filterwarnings(\"ignore\", category=UserWarning)
    <\/code><\/pre>\n\n\n\n
    \u8fd9\u4e24\u884c\u4ee3\u7801\u7684\u4f5c\u7528\u662f\u5ffd\u7565 RuntimeWarning<\/code> \u548c UserWarning<\/code> \u7c7b\u578b\u7684\u8b66\u544a\uff0c\u907f\u514d\u8fd9\u4e9b\u8b66\u544a\u4fe1\u606f\u5e72\u6270\u7a0b\u5e8f\u7684\u8fd0\u884c\u548c\u8f93\u51fa\u3002<\/p>\n\n\n\n
    3. \u6570\u636e\u683c\u5f0f\u8f6c\u6362\u51fd\u6570<\/h4>\n\n\n\n
    test_tsfresh.pyApply
    def convert_sktime_to_tsfresh(df_sktime, y):
        \"\"\"
        Convert the dataset format from sktime to tsfresh.

        :param df_sktime: The dataset loaded by sktime.
        :param y: The target labels.
        :return: A DataFrame in the format required by tsfresh and a Series of target labels.
        \"\"\"
        df_tsfresh = []
        for idx, row in df_sktime.iterrows():
            # \u5047\u8bbe\u7b2c\u4e00\u5217\u5305\u542b\u65f6\u95f4\u5e8f\u5217\u6570\u636e
            series = row.iloc[0]
            for time, value in series.items():
                df_tsfresh.append([idx, time, value])
        df_tsfresh = pd.DataFrame(df_tsfresh, columns=['id', 'time', 'value'])
        y = pd.Series(y)
        return df_tsfresh, y
    <\/code><\/pre>\n\n\n\n