csv

问题 I am looking for a sample code which can convert .h5 files to csv or tsv. I have to read .h5 and output should be csv or tsv. Sample code would be much appreciated,please help as i have stuck on it for last few days.I followed wrapper classes but don't know how to use that.I am not a good programmer so facing lot of problem. please help thanks a lot in advance 回答1: You can also use h5dump -o dset.asci -y -w 400 dset.h5 -o dset.asci specifies the output file -y -w 400 specifies the dimension

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . Basically I need to create a program that will add numbers read from a text file separated by commas. ie in file.txt 1,2,3 4,5,6 7,8,9 So far I have the simple code x = 1 y = 2 z = 3 sum=x+y+z print(sum) I'm not sure how I would assign each number in the text file to x,y,z. What I

问题 Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 6 years ago . Basically I need to create a program that will add numbers read from a text file separated by commas. ie in file.txt 1,2,3 4,5,6 7,8,9 So far I have the simple code x = 1 y = 2 z = 3 sum=x+y+z print(sum) I'm not sure how I would assign each number in the text file to x,y,z. What I

问题 I have problem where I need to download, unzip, and then process line by line a very large CSV file. I think it's useful to give you an idea how large the file is: big_file.zip ~700mb big_file.csv ~23gb Here's some things I'd like to happen: Don't have to download the whole file before unzipping Don't have to unzip whole file before parsing csv lines Don't use up very much memory/disk while doing all this I don't know if that's possible or not. Here's what I was thinking: require 'open-uri'

问题 I have problem where I need to download, unzip, and then process line by line a very large CSV file. I think it's useful to give you an idea how large the file is: big_file.zip ~700mb big_file.csv ~23gb Here's some things I'd like to happen: Don't have to download the whole file before unzipping Don't have to unzip whole file before parsing csv lines Don't use up very much memory/disk while doing all this I don't know if that's possible or not. Here's what I was thinking: require 'open-uri'

问题 I have a huge dataset and I am trying to read it line by line. For now, I am reading the dataset using pandas: df = pd.read_csv("mydata.csv", sep =',', nrows = 1) This function allows me to read only the first line, but how can I read the second, the third one and so on? (I would like to use pandas.) EDIT: To make it more clear, I need to read one line at a time as the dataset is 20 GB and I cannot keep all the stuff in memory. 回答1: Looking in the pandas documentation, there is a parameter

问题 This question already has answers here : Fastest way of deleting a value in a comma separated list (4 answers) Closed 9 days ago . Let's say I have a string: cat,mouse,dog,horse Is there a regex or a function that will work as follows? 1)"cat" return string ->"mouse,dog,horse" 2)"mouse" return string ->"cat,dog,horse" 3)"dog" return string ->"cat,mouse,horse" 4)"horse" return string ->"cat,mouse,dog" I need to eliminate the selected item from the string and return the remaining parts of the

问题 This question already has answers here : Fastest way of deleting a value in a comma separated list (4 answers) Closed 9 days ago . Let's say I have a string: cat,mouse,dog,horse Is there a regex or a function that will work as follows? 1)"cat" return string ->"mouse,dog,horse" 2)"mouse" return string ->"cat,dog,horse" 3)"dog" return string ->"cat,mouse,horse" 4)"horse" return string ->"cat,mouse,dog" I need to eliminate the selected item from the string and return the remaining parts of the

问题 I'm using the Jackson CSV lib to read CSV files. We've got the streaming example from the documentation : CsvMapper mapper = new CsvMapper(); mapper.enable(CsvParser.Feature.WRAP_AS_ARRAY); ObjectReader reader = mapper.readerFor(String[].class); MappingIterator<String[]> values = reader.readValues("/path/to/file") This works fine for CSV files. However I can't see how I can configure it to use tab instead of comma as the field delimiter, in order to read TSV files. The only config I can find

问题 When appending to csv, my first line is starting on the existing last line rather than a new line. I keep searching SO, but I am just finding the basic use of opening a csv in append mode or using append mode when writing to csv. I could not make sense of the accepted answer here (to_csv append mode is not appending to next new line) since it appears to require the existing file to be open before writing the ("/n") with f.write("/n") . This answer (How to add pandas data to an existing csv