csv

问题 I'm trying to read this CSV: https://re.jrc.ec.europa.eu/api/tmy?lat=41&lon=22&startyear=2007 And right now I'm doing 3 calls to parse it, since its structure is inconsistent. (they are basically 3 csv concatenated, with 3 indexes in between) url = 'https://re.jrc.ec.europa.eu/api/tmy?lat=41&lon=22&startyear=2007' MetaData = pd.read_csv(url,sep=":", nrows=3,names=['key','value']) # do something with metadata MonthData = pd.read_csv(url,skiprows=3,nrows=12) # do something with the year Data =

问题 This question already has answers here : Closed 7 years ago . Possible Duplicate: mysql_fetch_array() expects parameter 1 to be resource, boolean given in select I can't solve a problem occuring when I try to export an array to a csv file. I have used this function several tumes without problem but here I do not see where my mistake is. I set an array : $mytags= array(); I populate it by a loop. When I print the content through print_r($mytags); it seems to be ok, here some examples of my

问题 This question already has answers here : Closed 7 years ago . Possible Duplicate: mysql_fetch_array() expects parameter 1 to be resource, boolean given in select I can't solve a problem occuring when I try to export an array to a csv file. I have used this function several tumes without problem but here I do not see where my mistake is. I set an array : $mytags= array(); I populate it by a loop. When I print the content through print_r($mytags); it seems to be ok, here some examples of my

问题 I have a CSV dataset that I am exploiting with dc.js (crossfilter). Date, Country 1,Country 2,Country 3,Country 4,Country 5,Country 6,Target country (...) 2014/12/11, USA, France, UAE, (...), Iraq The thing I am trying to do is to plot a row chart with one row per country. Here's my solution as of today: var countries = ndx.dimension(function(d) { var list = []; list.push(d["Country 1"]); if (d["Country 2"]) {list.push(d["Country 2"]);}; if (d["Country 3"]) {list.push(d["Country 3"]);}; if (d

问题 I have a CSV dataset that I am exploiting with dc.js (crossfilter). Date, Country 1,Country 2,Country 3,Country 4,Country 5,Country 6,Target country (...) 2014/12/11, USA, France, UAE, (...), Iraq The thing I am trying to do is to plot a row chart with one row per country. Here's my solution as of today: var countries = ndx.dimension(function(d) { var list = []; list.push(d["Country 1"]); if (d["Country 2"]) {list.push(d["Country 2"]);}; if (d["Country 3"]) {list.push(d["Country 3"]);}; if (d

问题 (An adaptation of David Erickson's question here) Given a CSV file with columns A, B, and C and some values: echo 'a,b,c' > file.csv head -c 10000000 /dev/urandom | od -d | awk 'BEGIN{OFS = ","}{print $2, $3, $4}' | head -n 10000 >> file.csv We would like to sort by columns a and b: sort -t ',' -k1,1n -k2,2n file.csv > file_.csv head -n 3 file_.csv >a,b,c 3,50240,18792 7,54871,39438 And then for every unique pair (a, b) create a new CSV titled '{a}_Invoice_{b}.csv' . The main challenge seems

问题 I had a requirement to convert a JSON response into a csv file. I was able to successfully use Tim Yates' excellent code from here: Groovy code to convert json to CSV file I now need to include the JSON's nested submap in the csv as well. The relationship between the map and submap is 1:1. I've been unable to get the correct syntax for a collect statement that will retrieve both the parsed map and submap key/values. Sample JSON {items= [ { created_at=2019-03-27 , entity_id=1 , extension

问题 This question already has answers here : set difference for pandas (11 answers) Closed 2 years ago . I am trying to compare two csv files using pandas dataframes. One is a master sheet that is going to have data appended to it daily (test_master.csv). The second is a daily report (test_daily.csv) that contains the data I want to append to the test_master.csv. I am creating two pandas dataframes from these files: import pandas as pd dfmaster = pd.read_csv(test_master.csv) dfdaily = pd.read_csv

问题 I want to serialize a list of strings in C#? I have previously successfully used an open-source library Cinchoo ETL for similar tasks, but I am stuck in this particular scenario. I do not want to use POCO since my source data structure is dynamic. I would much rather read the data from a csv and serialize it. My source data in csv format: id,name,friends/0,friends/1 1,Tom,Dick,Harry Required output JSON - {"id":1,"name":"Tom","friends":["Dick","Harry"]} 回答1: Here you go, you can do with

问题 I am trying to map a bean to a CSV file with selected columns (not all columns) but the problem that my bean has other nested beans as attributes. Class Student { @CsvBindByName private String s_id; @CsvBindByName private String name; @CsvRecurse private List<Book> books; } Class Book { @CsvBindByName private String bookName; private String bookAuthor; } I want to map this object to csv file with below format s_id;name;bookName I have tried with below code but not getting bookName in csv