delimiter

问题 It appears that the pandas to_csv function only allows single character delimiters/separators. Is there some way to allow for a string of characters to be used like, "::" or "%%" instead? I tried: df.to_csv(local_file, sep = '::', header=None, index=False) and getting: TypeError: "delimiter" must be a 1-character string 回答1: Use numpy-savetxt Ex: np.savetxt(file.csv, np.char.decode(chunk_data.values.astype(np.bytes_), 'UTF-8'), delimiter='~|', fmt='%s',encoding=None) np.savetxt(file.dat,

问题 It appears that the pandas to_csv function only allows single character delimiters/separators. Is there some way to allow for a string of characters to be used like, "::" or "%%" instead? I tried: df.to_csv(local_file, sep = '::', header=None, index=False) and getting: TypeError: "delimiter" must be a 1-character string 回答1: Use numpy-savetxt Ex: np.savetxt(file.csv, np.char.decode(chunk_data.values.astype(np.bytes_), 'UTF-8'), delimiter='~|', fmt='%s',encoding=None) np.savetxt(file.dat,

问题 It appears that the pandas to_csv function only allows single character delimiters/separators. Is there some way to allow for a string of characters to be used like, "::" or "%%" instead? I tried: df.to_csv(local_file, sep = '::', header=None, index=False) and getting: TypeError: "delimiter" must be a 1-character string 回答1: Use numpy-savetxt Ex: np.savetxt(file.csv, np.char.decode(chunk_data.values.astype(np.bytes_), 'UTF-8'), delimiter='~|', fmt='%s',encoding=None) np.savetxt(file.dat,

问题 I am trying to read a csv file in SAP BODS the file delimiter is ,(comma) and text delimiter is "(double quotes) the text withing the "" AND COMMAS also have double quotes in them due to which the column is being split into new column Is there any way i can only use header columns as a reference for the column definition? 来源： https://stackoverflow.com/questions/61456032/reading-csv-file-with-double-quote-delimiter-in-sap-bods

问题 In my case the delimiter string is ' ' (3 consecutive spaces, but the answer should work for any multi-character delimiter), and an edge case text to search in could be this: 'Coord="GLOB"AL Axis=X Type="Y ZR" Color="Gray Dark" Alt="Q Z"qz Loc=End' The solution should return the following strings: Coord="GLOB"AL Axis=X Type="Y ZR" Color="Gray Dark" Alt="Q Z"qz Loc=End I've looked for regex solutions, evaluating also the inverse problem ( match multi-character delimiter unless inside quotes ),

问题 In my case the delimiter string is ' ' (3 consecutive spaces, but the answer should work for any multi-character delimiter), and an edge case text to search in could be this: 'Coord="GLOB"AL Axis=X Type="Y ZR" Color="Gray Dark" Alt="Q Z"qz Loc=End' The solution should return the following strings: Coord="GLOB"AL Axis=X Type="Y ZR" Color="Gray Dark" Alt="Q Z"qz Loc=End I've looked for regex solutions, evaluating also the inverse problem ( match multi-character delimiter unless inside quotes ),

问题 In my case the delimiter string is ' ' (3 consecutive spaces, but the answer should work for any multi-character delimiter), and an edge case text to search in could be this: 'Coord="GLOB"AL Axis=X Type="Y ZR" Color="Gray Dark" Alt="Q Z"qz Loc=End' The solution should return the following strings: Coord="GLOB"AL Axis=X Type="Y ZR" Color="Gray Dark" Alt="Q Z"qz Loc=End I've looked for regex solutions, evaluating also the inverse problem ( match multi-character delimiter unless inside quotes ),

问题 preg_split has an optional PREG_SPLIT_DELIM_CAPTURE flag, which also returns all delimiters in the returned array. mb_split does not. Is there any way to split a multibyte string (not just UTF-8, but all kinds) and capture the delimiters? I'm trying to make a multibyte-safe linebreak splitter, keeping the linebreaks, but would prefer a more genericaly usable solution. Solution Thanks to user Casimir et Hippolyte, I built a solution and posted it on github (https://github.com/vanderlee/PHP

问题 This question already has answers here : How to determine the delimiter in CSV file (5 answers) Closed 1 year ago . I saw that this question was already asked several times but they're on other language and I can't get a grasp on the answers. I am receiving a .csv or .txt file through a socket. Is there any way I can detect the delimiter or "splitter" of a line in the CSV or TXT file? This is the server code that handles the file writing, try{ final ServerSocket server = new ServerSocket(8998

问题 Hi I have a dataframe that follows this format: df = pd.DataFrame(np.array([[1, 2, 'Apples 20pk ABC123', 4, 5], [6, 7, 'Oranges 40pk XYZ123', 9, 0], [5, 6, 'Bananas 20pk ABC123', 8, 9]]), columns= ['Serial #', 'Branch ID', 'Info', 'Value1', 'Value2']) Serial# Branch ID Info Value1 Value2 0 1 2 Apples 20pk ABC123 4 5 1 6 7 Bananas 20pk ABC123 9 0 2 5 6 Oranges 40pk XYZ123 8 9 I want to split the "Info" column's values based on the "pk" character. Essentially, I want to create two new columns,