用实现数据透视表、音频文件格式转换

1.用实现数据透视表

import pandas as pd
if __name__ == '__main__':
    # df = pd.read_excel('广告-资源位变现效率监测看板-1.xlsx', sheet_name='各业务在该资源位的明细数据')
    df = pd.read_excel('填充率分析-Q3.xlsx', sheet_name='库存底表')
    df = df.loc[df['dt'].str.startswith('2023-09-21')]
    # df = df.loc[df['dt'].str.startswith('2023-09-')]
    df = df.loc[df['资源位'] == '亮屏贴片']
    # df = df.loc[df['业务类型'] == '品牌广告']
    total = df['库存'].sum()
    print(total)

2.用实现音频文件格式转换

from pydub import AudioSegment
import os
def add_path():
    path = os.environ.get('PATH')
    path = path[:-1]
    # new_path = 'C:\\Program Files\\gs\\gs10.01.2\\bin;.'
    new_path = 'C:\\myPC\\tools\\ffmpeg\\bin;.'
    updated_path = path + new_path
    os.environ['PATH'] = updated_path
def convert_m4a_to_wav(input_file, output_file):
    audio = AudioSegment.from_file(input_file, format="m4a")
    audio.export(output_file, format="wav", parameters=["-ar", "16000"])
    print(f"Duration of {output_file}: {audio.duration_seconds} seconds")
    return audio.duration_seconds
if __name__ == '__main__':
    add_path()
    directory = "./M4A/"
    files = os.listdir(directory)
    total_seconds = 0.0
    for file in files:
        print("Processing ", file)
        file = file.replace(".m4a", "")
        total_seconds = total_seconds + convert_m4a_to_wav("./M4A/" + file + ".m4a", "./WAV/" + file + ".WAV")
    total_minutes = total_seconds / 60.0
    total_hours = total_minutes / 60.0
    print("Total: " + str(total_seconds) + " sec; ")
    print("Total: " + str(total_minutes) + " min; ")
    print("Total: " + str(total_hours) + " hour; ")

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