csv

问题 Is it possible to start the index from n in a pandas dataframe? I have some datasets saved as csv files, and would like to add the column index with the row number starting from where the last row number ended in the previous file. For example, for the first file I'm using the following code which works fine, so I got an output csv file with rows starting at 1 to 1048574, as expected: yellow_jan['index'] = range(1, len(yellow_jan) + 1) I would like to do same for the yellow_feb file, but

问题 How can I create a .csv file? In this .csv I want to write information of the packets. This is my code: https://www.tcpdump.org/sniffex.c I want to write into my file .csv some prints, for example the ip , tcp , etc. This is my previous question: How can i create a file .csv? #define APP_NAME "sniffex" #define APP_DESC "Sniffer example using libpcap" #define APP_COPYRIGHT "Copyright (c) 2005 The Tcpdump Group" #define APP_DISCLAIMER "THERE IS ABSOLUTELY NO WARRANTY FOR THIS PROGRAM." #include

问题 I m trying to create a zip of 100 csv. I need to write 100,000 lines in a single csv in fastest way possible. I am using openCSV, ZipEntry method to write to csv. Some Code used: ZipEntry zipentry = new ZipEntry(filename); zos.putNextEntry(entry); CSVWriter writer = new CsvWriter(new OutputStreamWriter(zos)); writer.writeNext(entries); //entries is single line of csv Currently its taking 1.5 secs to write a single csv and overall its taking around 120-140secs to create complete zip. I have

问题 I want to export a table or a view from bigQuery, but I do not need to export everything: I need to export only certain columns. How can I configure which ones to export? My current code is something like this: BigQuery bigQuery = BigQueryOptions.getDefaultInstance().getService(); Field fieldToExport = Field.of("column to export", LegacySQLTypeName.STRING); Table table = bigQuery.getTable("mybigqueryid", "mytable", /* here it only accepts tableOptions, not fields*/); String format = "csv";

问题 I want to export a table or a view from bigQuery, but I do not need to export everything: I need to export only certain columns. How can I configure which ones to export? My current code is something like this: BigQuery bigQuery = BigQueryOptions.getDefaultInstance().getService(); Field fieldToExport = Field.of("column to export", LegacySQLTypeName.STRING); Table table = bigQuery.getTable("mybigqueryid", "mytable", /* here it only accepts tableOptions, not fields*/); String format = "csv";

问题 Hello again community, I'm looking for a solution to 32 bit .mdb's conflicting with my 64 bit environment: 64 bit Windows 7, with a 64 bit MS Access Database driver running 64 bit python. I want to write data from these .mdb's into a 64 bit PostgreSQL database and possibly also to .csv files. However, I would like this tool to not only work on my machine but also those of colleagues so it would ideally be able to handle other environments as well. Initially I had a script writing to .csv with

问题 I am having this error code appear on in my project. the strange thing is, the piece of code I am using was working perfectly earlier today. However, since I installed an update for R I am now getting this message when running it. df1 <- df %>% select(Month, Longitude, Latitude, Type) Error in (function (classes, fdef, mtable) : unable to find an inherited method for function ‘select’ for signature ‘"spec_tbl_df"’ The code was used simply to create a new data frame with only the selected

问题 I am having this error code appear on in my project. the strange thing is, the piece of code I am using was working perfectly earlier today. However, since I installed an update for R I am now getting this message when running it. df1 <- df %>% select(Month, Longitude, Latitude, Type) Error in (function (classes, fdef, mtable) : unable to find an inherited method for function ‘select’ for signature ‘"spec_tbl_df"’ The code was used simply to create a new data frame with only the selected

问题 I am using CSV Helper library to produce CSV files for the user to to populate and upload into the system. My issue is that the WriteHeader method just writes the attributes of a class with names like "PropertyValue", which is not user friendly. Is there a method I can use to make the text produced user friendly but is still able to successfully map the class to the files data? My code looks like the following: public ActionResult UploadPropertyCSV(HttpPostedFileBase file) { List

问题 with open('exoplanets.csv') as infile: planets = {} lines = infile.readline() for line in infile: reader = csv.reader(infile) number = [line] methods, number, orbital_period, mass, distance, year = (s.strip(' ') for s in line.split(',')) planets[methods] = (number, orbital_period, mass, distance, year) print(planets) my code currently looks like that with the sample input: and my output looks like this: however, I want it to look like this: { "Radial Velocity" : {"number":[1,1,1], "orbital