Matlab读取特定格式分隔文本并写入Excel的技术求助

Got it, let's figure out how to write that 1016×5 cell array to Excel smoothly! Since you already have your data structured into the cell array, the hard part is done—now it's just about using the right tool for your environment. Here are two common, easy-to-follow approaches:

Using MATLAB #

MATLAB has built-in functions that handle Excel writing directly, so this is straightforward if you're working in that environment:

• First, double-check that every row in your cell array has exactly 5 elements (matching your transcript data structure from the TXT file).
• Use writecell (available in R2019a and newer) for the simplest method—no extra conversion needed:

% Replace 'myCellArray' with the actual name of your cell array
writecell(myCellArray, 'transcript_output.xlsx');

• If you want to add custom column headers (like "Tag", "Start Time", "End Time", "Confidence", "Transcript"), you can prepend them to your data and use writetable:

headers = {'Tag', 'StartTime', 'EndTime', 'Confidence', 'Transcript'};
full_data = [headers; myCellArray]; % Combine headers with your dataset
writetable(cell2table(full_data), 'transcript_with_headers.xlsx', 'WriteVariableNames', false);

• Need to specify a sheet name or starting cell? Add those parameters:

writecell(myCellArray, 'transcript_output.xlsx', 'Sheet', 'Transcripts', 'Range', 'A1');

• For older MATLAB versions (pre-R2019a), use xlswrite instead:

xlswrite('transcript_output.xlsx', myCellArray);

Using Python (with pandas) #

If you prefer Python, pandas makes this task a breeze. First, make sure you have pandas and openpyxl installed (run pip install pandas openpyxl in your terminal if you don't):

• Treat your cell array as a list of lists (the Python equivalent), convert it to a DataFrame, then write to Excel:

import pandas as pd

# Replace 'my_cell_array' with your actual list of lists
df = pd.DataFrame(my_cell_array)

# Write without headers
df.to_excel('transcript_output.xlsx', index=False, header=False)

# Or add custom headers before writing
headers = ['Tag', 'StartTime', 'EndTime', 'Confidence', 'Transcript']
df.columns = headers
df.to_excel('transcript_with_headers.xlsx', index=False)

• To write to a specific sheet or starting position, use ExcelWriter:

with pd.ExcelWriter('transcript_output.xlsx') as writer:
    df.to_excel(writer, sheet_name='Transcripts', startrow=0, startcol=0, index=False, header=False)

Quick Tips #

• Always verify that every row in your cell array has exactly 5 columns—mismatched lengths will cause errors when writing to Excel.
• 1016 rows is a small dataset for both tools, so you won't run into performance issues here.
• If you run into permission errors, make sure the Excel file isn't open while you're running the code.

内容的提问来源于stack exchange，提问作者user552231