dictreader

Python CSV DictReader/Writer issues

I'm trying to extract a bunch of lines from a CSV file and write them into another, but I'm having some problems. import csv f = open("my_csv_file.csv", "r") r = csv.DictReader(f, delimiter=',') fieldnames = r.fieldnames target = open("united.csv", 'w') w = csv.DictWriter(united, fieldnames=fieldnames) while True: try: row = r.ne...

How to create probability density function graph using csv dictreader, matplotlib and numpy?

I'm trying to create a simple probability density function(pdf) graph using data from one column of a csv file using csv dictreader, matplotlib and numpy... Is there an easy way to use CSV DictReader combined with numpy arrays? Below is code that doesn't work. The error message is TypeError: len() of unsized object, which I'm guessing ...

Is it possible to keep the column order using the Python csv DictReader

For example, my csv has columns as below: ID, ID2, Date, Job No, Code I need to write the columns back in the same order. The dict jumbles the order immediately, so I believe it's more of a problem with the reader. ...

Problems assigning dict values to variables

I am struggling with something that must be one of those 'it is so obvious I am an idiot' problems. I have a csv file that I want to read in and use to create individual 'tables'. I have a variable (RID) that marks the beginning of a new 'table'. I can't get my indicator variable (currentRow) to advance as I finish manipulating each...

TypeError upon merely opening a file with csv.DictReader?

I've just uploaded this CSV file via a form, POSTing it to my Python CGI script. The upload seems to have completed successfully. Permissions on the folder are 777, on the file are 755. >>> import csv >>> csvHandle = open('files/TestData.csv', "rb") >>> csvRawRecordDicts = csv.DictReader(csvHandle) Traceback (most recent call last): ...

Python DictReader - Skipping rows with missing columns?

heya, I have a Excel .CSV file I'm attempting to read in with DictReader. All seems to be well, except it seems to omit rows, specifically those with missing columns. Our input looks like: mail,givenName,sn,lorem,ipsum,dolor,telephoneNumber [email protected],ian,bay,3424,8403,2535,+65(2)34523534545 [email protected],mike,gibson,342...