concat

问题 I have a script at present that results in several audio-only and video-only files. My goal is to take these and then concat each video clip whilst merging in the audio-clips. I thought this would be easy but I have not been able to find a good example to work from. FFMPEG.org suggests that the movie/amovie input syntax could be the best option.. but am craving more doco. FFMPEG's information on the topic is @ https://www.ffmpeg.org/ffmpeg-filters.html#Examples-124. It suggests that to "..

问题 Summary Ffmpeg concat demuxer shifts video stream start time when invoked with -c copy option. Reproduction Given an before.mp4 containing video and audio streams both with start_time=0 and start_pts=0 . Given concat demuxer input file concat.txt with contents: file before.mp4 Run command ffmpeg -f concat -i concat.txt -c copy concat.mp4 Run command ffprobe concat.mp4 -show_streams and observe that video stream start_time and start_pts are now non-zero (in my tests, the magnitude of this

问题 I'm new in XSL programming and I guess it is a simple question: How can I get the filename without the path? At the moment my code looks like this and I get the whole path: Result.xml: <?xml version="1.0" encoding="UTF-8" ?> <All_Results> <Result> <id>1</id> <workid>144</workid> <rank>100000000</rank> <title>Test Dokument</title> <author_multival>Test</author_multival> <author>Test</author> <size>34185</size> <url>https://test.test.com/docs/globalit/Lists/Documents/Datumtest/Test.docx</url>

问题 I'm new in XSL programming and I guess it is a simple question: How can I get the filename without the path? At the moment my code looks like this and I get the whole path: Result.xml: <?xml version="1.0" encoding="UTF-8" ?> <All_Results> <Result> <id>1</id> <workid>144</workid> <rank>100000000</rank> <title>Test Dokument</title> <author_multival>Test</author_multival> <author>Test</author> <size>34185</size> <url>https://test.test.com/docs/globalit/Lists/Documents/Datumtest/Test.docx</url>

问题 I have a HashSet of Persons. A person has a firstName, lastName and age like: Person("Hans", "Man", 36) My task is to get a list of the persons who are older than 17, sort them by age and concat the firstName with the lastName like: ["Hans Man","another name", "another name"] Im just allowed to import: import java.util.stream.Stream; import java.util.stream.Collectors; import java.util.List; import java.util.ArrayList; My idea was to sort them first, map the names in separate Streams and to

问题 I have two dataframes: df1 = value 0 a 1 b 2 c df2 = value 0 d 1 e I need to concatenate them across index, but I have to preserve the index of the first dataframe and continue it in the second dataframe, like this: result = value 0 a 1 b 2 c 3 d 4 e My guess is that pd.concat([df1, df2], ignore_index=True) will do the job. However, I'm worried that for large dataframes the order of the rows may be changed and I'll end up with something like this (first two rows changed indices): result =

问题 I have two dataframes: df1 = value 0 a 1 b 2 c df2 = value 0 d 1 e I need to concatenate them across index, but I have to preserve the index of the first dataframe and continue it in the second dataframe, like this: result = value 0 a 1 b 2 c 3 d 4 e My guess is that pd.concat([df1, df2], ignore_index=True) will do the job. However, I'm worried that for large dataframes the order of the rows may be changed and I'll end up with something like this (first two rows changed indices): result =

问题 I have a dataframe called 'running_tally' list jan_to jan_from 0 LA True False 1 NY False True I am trying to append new data to it in the form of a single column dataframe called 'new_data' list 0 HOU 1 LA I concat these two dfs based on their 'list' column for further processing, but immediately after I do that all the boolean values unexpectedly flip. running_tally = pd.concat([running_tally,new_data]).groupby('list',as_index=False).first() the above statement will produce: list jan_to jan

问题 I have a dataframe called 'running_tally' list jan_to jan_from 0 LA True False 1 NY False True I am trying to append new data to it in the form of a single column dataframe called 'new_data' list 0 HOU 1 LA I concat these two dfs based on their 'list' column for further processing, but immediately after I do that all the boolean values unexpectedly flip. running_tally = pd.concat([running_tally,new_data]).groupby('list',as_index=False).first() the above statement will produce: list jan_to jan

问题 I have the following problem concerning my Access Database: I have 3 tables which are tblComponents, tblErrors, and linkComponentsErrors. This is a many to many relationships which means one component can have many errors and one error can have many components. These a are linked with their primaryKey (tblComponents.componentID and tblErrors.errorID) in the linkComponentsErrors. Both tables also have a field for their name tblComponents / tblErrors / linkComponentsErrors |compID|compname|