Try CSVWRITE This is perhaps all that you need: call CSVWRITE ( ‘C:/MyFolder/MyCSV.txt’, ‘SELECT * FROM MYTABLE’ ) You need to just run the call (mentioned above) in the browser based client of H2 that you are most likely using. Further reading: http://www.h2database.com/html/functions.html#csvwrite.
I had this same question because I wanted to follow the standard if there was any. The obvious choice here is .psv considering the naming system of .csv and .tsv – however, I couldn’t find this in use anywhere. The most common extension that I could find associated with a pipe-delimited file is simply .txt. … Read more
As root mentioned in the comments, this is a limitation of Pandas (and Numpy). NaN is a float and the empty values you have in your CSV are NaN. This is listed in the gotchas of pandas as well. You can work around this in a few ways. For the examples below I used the … Read more
Look at #shift from CSV Class: The primary read method for wrapped Strings and IOs, a single row is pulled from the data source, parsed and returned as an Array of fields (if header rows are not used) An Example: require ‘csv’ # CSV FILE # name, surname, location # Mark, Needham, Sydney # David, … Read more
If using pandas.read_csv() or pandas.read_table(), you can provide a list of indices for the header argument, to specify the rows you want to use for column headers. Python will generate the pandas.MultiIndex for you in df.columns: df = pandas.read_csv(‘DollarUnitSales.csv’, header=[0,1]) You can also use more than two rows, or non-consecutive rows, to specify the column … Read more
You are right, something is odd with the name attributes. Seems to me that you can not use both in the same time. Either you set the name for every columns of the CSV file or you don’t set the name at all. So it seems that you can’t set the name when you are … Read more
Apache Commons Lang contains a StringUtils.join() method for precisely this purpose. Note that different flavours exist. And as of March 2014, Java 8 now has a StringJoiner
I don’t think pandas offers a way to do this in read_csv. Perhaps the neatest (in one pass) is to use collections.deque: from collections import deque from StringIO import StringIO with open(fname, ‘r’) as f: q = deque(f, 2) # replace 2 with n (lines read at the end) In [12]: q Out[12]: deque([‘7,8,9\n’, ‘10,11,12’], … Read more
Just add the header text in an array in front of the values. [“Commit Message”,”Committer Name”], (.[].commit | [.message,.committer.name]) | @csv
Open the file in Notepad++ and click Encoding->Convert to UTF-8. (Do not click Encode in UTF-8 because it won’t actually convert the characters.)