csv

问题 I am trying to parse CSV file using Jackson's CSV data format module. I tried sample code given on their project homepage (https://github.com/FasterXML/jackson-dataformat-csv) CsvMapper mapper = new CsvMapper(); mapper.enable(CsvParser.Feature.WRAP_AS_ARRAY); File csvFile = new File("input.csv"); MappingIterator<String[]> it = mapper.reader(String[].class).readValues(csvFile); while (it.hasNext()) { String[] row = it.next(); System.out.println(row) } this small code is giving me error

问题 I am trying to parse CSV file using Jackson's CSV data format module. I tried sample code given on their project homepage (https://github.com/FasterXML/jackson-dataformat-csv) CsvMapper mapper = new CsvMapper(); mapper.enable(CsvParser.Feature.WRAP_AS_ARRAY); File csvFile = new File("input.csv"); MappingIterator<String[]> it = mapper.reader(String[].class).readValues(csvFile); while (it.hasNext()) { String[] row = it.next(); System.out.println(row) } this small code is giving me error

问题 I have gone through many posts but did not found the exact way to do the below. Sorry for attaching screenshot(Just for better visibility) as well , I will write it also. Basically it looks like - Name_of_the_Man Address_of_Man City Jordan NC LMN Input csv looks like Output Needed I have this code with me that picks the csv and attach as sheet in excel. writer = pd.ExcelWriter('final.xlsx'), engine='xlsxwriter') for f in glob.glob(os.path.join(Path, "*.csv")): df = pd.read_csv(f) df.to_excel

问题 I have gone through many posts but did not found the exact way to do the below. Sorry for attaching screenshot(Just for better visibility) as well , I will write it also. Basically it looks like - Name_of_the_Man Address_of_Man City Jordan NC LMN Input csv looks like Output Needed I have this code with me that picks the csv and attach as sheet in excel. writer = pd.ExcelWriter('final.xlsx'), engine='xlsxwriter') for f in glob.glob(os.path.join(Path, "*.csv")): df = pd.read_csv(f) df.to_excel

问题 I have a CSV file with stress data and geometry that I have exported from ANSYS Mechanical that I would like to visualize in Paraview. Each node has a bunch of stress data related to it. I managed import the points as a point cloud in Paraview but I want to recreate the ANSYS mesh as well. I thought that "programable source" in Paraview could be an alternative way and with some googleing I could probably figure out how to read the data in to numpy arrays but the fundamental question is, how

问题 I have a CSV file with stress data and geometry that I have exported from ANSYS Mechanical that I would like to visualize in Paraview. Each node has a bunch of stress data related to it. I managed import the points as a point cloud in Paraview but I want to recreate the ANSYS mesh as well. I thought that "programable source" in Paraview could be an alternative way and with some googleing I could probably figure out how to read the data in to numpy arrays but the fundamental question is, how

问题 I would like to know how I can extract / skip certain rows where, for example, age == 32 or age == None from a CSV file in C++. Does it make more sense to extract the desired information after I loaded the entire csv file (if memory is not a problem)? EDIT : If possible, I would like to have a reading, printing and modification part. If possible, I want to use only the STL. The content of my test csv file looks as follows: *test.csv* name;age;weight;height;test Bla;32;1.2;4.3;True Foo;43;2.2

问题 I wrote a small python program that works with data from a CSV file. I am tracking some numbers in a google sheet and I created the CSV file by downloading the google sheet. I am trying to find a way to have python read in the CSV file directly from google sheets, so that I do not have to download a new CSV when I update the spreadsheet. I see that the requests library may be able to handle this, but I'm having a hard time figuring it out. I've chosen not to try the google APIs because this

问题 I wrote a small python program that works with data from a CSV file. I am tracking some numbers in a google sheet and I created the CSV file by downloading the google sheet. I am trying to find a way to have python read in the CSV file directly from google sheets, so that I do not have to download a new CSV when I update the spreadsheet. I see that the requests library may be able to handle this, but I'm having a hard time figuring it out. I've chosen not to try the google APIs because this

问题 I wrote a small python program that works with data from a CSV file. I am tracking some numbers in a google sheet and I created the CSV file by downloading the google sheet. I am trying to find a way to have python read in the CSV file directly from google sheets, so that I do not have to download a new CSV when I update the spreadsheet. I see that the requests library may be able to handle this, but I'm having a hard time figuring it out. I've chosen not to try the google APIs because this