parsing

问题 I have a CSV file which is downloaded from database(as it is in CSV) and now I have to parse into JSON Schema. Don't worry this link just github gist Problem I am facing is its Multi line Header check CSV File Here If you take notice in the file: On 1st line of CSV it has 1st line of headers then next line has all the values for those headers. On 3rd line of CSV file it has 2nd line of headers then next line has all the values for those headers. On 5th line of CSV file it has 3rd line of

问题 This question already has an answer here : Multiple return types from a method (1 answer) Closed 4 months ago . I'm writing a program which parses a number of files. These files can fall into a number of different categories and I don't know which in advance. I makes sense to create a type for each type of data the files can contain, but I'm struggling with getting this datatype out of my parser and into my model/main program. In most other programming languages I would probably define a

问题 I am working on the development of a new language and I am using RPLY library for lexing and parsing purposes. Now I am stuck at getting an error when I use more than one line in the code file. here are my files:- mylexer.py from rply import LexerGenerator class Lexer(): def __init__(self): self.lexer = LexerGenerator() def _add_tokens(self): # Print self.lexer.add('PRINT', r'print') # Parenthesis self.lexer.add('OPEN_PAREN', r'\(') self.lexer.add('CLOSE_PAREN', r'\)') # Semi Colon self.lexer

问题 What's the correct way to traverse and modify a JSON string in C? Specifically, I have a string, body_buf. When printed out print("length: %d\n%.*s\n", body_len, body_len, body_buf); It looks like this: length: 113 {"field1":"something","whatever":10,"description":"body","id":"random","__oh__":{"session":"12345678jhgfdrtyui"}} Another more complicated body_buf may look like this: {"status":1,"query":{},"proc":{"memory":{"total":17177939968,"cmax":18363625472,"amax":20000000000},"cpu":{"cores"

问题 My code looks like this, i use pd.DataFrame.from_records to fill data into the dataframe, but it takes Wall time: 1h 40min 30s to process the request and load data from the sql table with 22 mln rows into df. # I skipped some of the code, since there are no problems with the extract of the query, it's fast cur = con.cursor() def db_select(query): # takes the request text and sends it to the data_frame cur.execute(query) col = [column[0].lower() for column in cur.description] # parse headers

问题 I have found that SimpleDateFormat::parse(String source)'s behavior is (unfortunatelly) defaultly set as lenient: setLenient(true). By default, parsing is lenient: If the input is not in the form used by this object's format method but can still be parsed as a date, then the parse succeeds. If I set the leniency to false , the documentation said that with strict parsing, inputs must match this object's format. I have used paring with SimpleDateFormat without the lenient mode and by mistake, I

问题 I am trying to parse a stock api from Alpha Vantage . This is what a response looks like: API Response Demo I set up Four classes to use for decoding and encoding: Stocks Meta Data Time Series Open High Low Close I think the problem lies in the Time Series Classes since i am suppose to be getting an array dates as a Key, which each contain Open, Close, High, Low values. All three classes conform to the Codable protocol.I changed the value of the keys in the enum so that it could match the

问题 I am trying to parse a stock api from Alpha Vantage . This is what a response looks like: API Response Demo I set up Four classes to use for decoding and encoding: Stocks Meta Data Time Series Open High Low Close I think the problem lies in the Time Series Classes since i am suppose to be getting an array dates as a Key, which each contain Open, Close, High, Low values. All three classes conform to the Codable protocol.I changed the value of the keys in the enum so that it could match the

问题 I would like to find specific tags in my XML document and edit their text or attributes. My XML file contains namespaces (and as I understand it correctly, nested namespaces). The tool I'd like to use for this purpose is ElementTree. I managed to read XML file by iterparse , however I don't know how I can save edited XML, because iterparse doesn't have write element. I need a solution to read XML file by parse and strip its namespaces and nested namespaces or a way to save iterparsed file.

问题 I would like to find specific tags in my XML document and edit their text or attributes. My XML file contains namespaces (and as I understand it correctly, nested namespaces). The tool I'd like to use for this purpose is ElementTree. I managed to read XML file by iterparse , however I don't know how I can save edited XML, because iterparse doesn't have write element. I need a solution to read XML file by parse and strip its namespaces and nested namespaces or a way to save iterparsed file.