csv

问题 I'm using spark 2.4.1 and scala, and trying to write DF to csv file. it seems that in case of null values ,the csv contains "". Is it possible to remove those empty quotes? val data = Seq( Row(1, "a"), Row(5, "z"), Row(5, null) ) val schema = StructType( List( StructField("num", IntegerType, true), StructField("letter", StringType, true) ) ) var df = spark.createDataFrame( spark.sparkContext.parallelize(data), schema ) df.write.csv("location/") The output seems like: 1,a 5,z 5,"" And I want

问题 I am doing a python project.I opened a new csv files and its contents are A | B ------------- 1. 200 | 201 2. 200 | 202 3. 200 | 201 4. 200 | 203 5. 201 | 201 6. 201 | 202 ........... And what I am doing is... def csvvalidation(readers): for row in readers: print row def checkduplicationcsv(reader): datalist = [] for row in reader: print row content = list(row[i] for i in range(0,3)) datalist.append(content) with open("new.csv", "rb") as infile: reader = csv.reader(infile) first_row = next

问题 I am doing a python project.I opened a new csv files and its contents are A | B ------------- 1. 200 | 201 2. 200 | 202 3. 200 | 201 4. 200 | 203 5. 201 | 201 6. 201 | 202 ........... And what I am doing is... def csvvalidation(readers): for row in readers: print row def checkduplicationcsv(reader): datalist = [] for row in reader: print row content = list(row[i] for i in range(0,3)) datalist.append(content) with open("new.csv", "rb") as infile: reader = csv.reader(infile) first_row = next

问题 I am doing a python project.I opened a new csv files and its contents are A | B ------------- 1. 200 | 201 2. 200 | 202 3. 200 | 201 4. 200 | 203 5. 201 | 201 6. 201 | 202 ........... And what I am doing is... def csvvalidation(readers): for row in readers: print row def checkduplicationcsv(reader): datalist = [] for row in reader: print row content = list(row[i] for i in range(0,3)) datalist.append(content) with open("new.csv", "rb") as infile: reader = csv.reader(infile) first_row = next

问题 In WordCloud on Python I would like to merge two languages ​​into one picture (English, Arabic) but I was unable to add the Arabic language as you see a squares instead of words and when I call the Arabic_reshaper library and make it read the csv file It shows me the Arabic language and make the English language as a squares wordcloud = WordCloud( collocations = False, width=1600, height=800, background_color='white', stopwords=stopwords, max_words=150, random_state=42, #font_path='/Users/mac

问题 I have a dataset which contains only header (id,name,age) and 0 rows. I want to write it into an hdfs location as a csv file using DataFrameWriter dataFrameWriter = dataset.write(); Map<String, String> csvOptions = new HashMap<>(); csvOptions.put("header", "true"); dataFrameWriter = dataFrameWriter.options(csvOptions); dataFrameWriter.mode(SaveMode.Overwrite).csv(location); In the hdfs location , the files are: 1. _SUCCESS 2. tempFile.csv If I go to that location and download the file

问题 I have a dataset which contains only header (id,name,age) and 0 rows. I want to write it into an hdfs location as a csv file using DataFrameWriter dataFrameWriter = dataset.write(); Map<String, String> csvOptions = new HashMap<>(); csvOptions.put("header", "true"); dataFrameWriter = dataFrameWriter.options(csvOptions); dataFrameWriter.mode(SaveMode.Overwrite).csv(location); In the hdfs location , the files are: 1. _SUCCESS 2. tempFile.csv If I go to that location and download the file

问题 I have a dataset which contains only header (id,name,age) and 0 rows. I want to write it into an hdfs location as a csv file using DataFrameWriter dataFrameWriter = dataset.write(); Map<String, String> csvOptions = new HashMap<>(); csvOptions.put("header", "true"); dataFrameWriter = dataFrameWriter.options(csvOptions); dataFrameWriter.mode(SaveMode.Overwrite).csv(location); In the hdfs location , the files are: 1. _SUCCESS 2. tempFile.csv If I go to that location and download the file

问题 This question already has an answer here : Reading file opened with Python Paramiko SFTPClient.open method is slow (1 answer) Closed 25 days ago . So I have an SFTP server that hosts a single CSV file that contains data about multiple courses. The data is in the following format (4 columns): Activity Name,Activity Code,Completion Status,Full Name Safety with Lasers, 3XX1, 10-Jul-20, "Person, Name" Safety with Lasers, 3XX1, NaN, "OtherP, OtherName" How to use wrench, 7NPA, 10-Aug-19,

问题 I'm having trouble downloading a csv.gz file from a url I have no problem downloading a tar.gz file. For the csv.gz file I'm able to extract the .gz file and read my csv file it would just be handy if I could use an URL instead of having the csv-1.0.csv.gz before hand This works: import urllib.request urllib.request.urlretrieve('http://www.mywebsite.com/csv-1-0.tar.gz','csv-1-0.tar.gz') This does not work: import urllib.request urllib.request.urlretrieve('http://www.mywebsite.com/csv-1-0.csv