闽公网安备 35020302035485号
pip install pandas pip install moviepy
import os import pandas as pd from moviepy.editor import VideoFileClip② 获取指定目录下符合条件的文件
useful_dir = []
for i in os.listdir():
if i.endswith("wmv"):
useful_dir.append(i)
useful_dir
结果如下:
// 堆代码 duidaima.com
def time_convert(seconds):
M,H = 60,3600
if seconds < M:
return f'00:00:0{seconds}' if seconds < 10 else f'00:00:{str(seconds)}'
elif seconds < H:
_M = int(seconds//M)
_S = int(seconds%M)
return f'00:{f"0{_M}" if _M < 10 else str(_M)}:{f"0{_S}" if _S < 10 else str(_S)}'
else:
_H = int(seconds//H)
_M = int(seconds%H//M)
_S = int(seconds%H%M)
return f'{f"0{_H}" if _H < 10 else str(_H)}:{f"0{_M}" if _M < 10 else str(_M)}:{f"0{_S}" if _S < 10 else str(_S)}'
由于下面介绍的VideoFileClip()方法,获取时长的单位是秒。因此,需将秒换成合适的"时分秒"格式。若时间超过一分钟,换算成"分钟:秒",若超过一小时,就换算成"小时:分钟:秒"格式。x = []
y = []
for i in useful_dir:
dir_size = str(round(os.path.getsize(i)/1024/1024,1)) + "M"
clip = VideoFileClip(i)
dir_time = time_convert(clip.duration)
x.append(dir_size)
y.append(dir_time)
df = pd.DataFrame({"文件大小":x,"文件时长":y})
df
结果如下:
df.to_excel("info.xlsx",index=False)
最终效果如图所示: