You are right, such errors mostly caused by NaN representing empty cells. It is common to filter out such data, before applying your further operations, using this idiom on your dataframe df: Alternatively, it may be more handy to use fillna() method to impute (to replace) null values with something default. E.g. all null or NaN‘s can be replaced with the average … Read more
writer.writerow expects a sequence (a tuple or list) of values to write in a single row, with one value per column in that row. What you have given it instead is a single value. Your code really should look more like: and it looks to me like most of this code should be in a big … Read more
It’s picking up the commas within the comments field as delimiters, because the delimiters are not consistent. The best solution is to insure that all fields are wrapped with double quotes and set FIELDTERMINATOR to ‘”,”‘. Alternately, replace the commas with something unlikely to be in the comments (like ~) and set FIELDTERMINATOR = ‘~’.
Read the file line by line: Pass each line to a istingstream and read the fields: Disclaimer: This is a simplified parsing of a csv-file.
You can use the CSVToArray() function mentioned in this blog entry.
Have you tried char tab = ‘\t’;?
I’m working with some CSV files, with the following code: And one file is throwing this error: What can I do? Google seems to suggest that it may be an Excel file that’s been saved as a .csv improperly. Is there any way I can get round this problem in Python? == UPDATE == Following … Read more
I want to convert a csv file into sparse format file with csv2libsvm.py (https://github.com/zygmuntz/phraug/blob/master/csv2libsvm.py). The CSV file contains 37 attributes + the label (last column). it doesn’t contain header or index. Exp of the 1st row: 63651000000.0,63651000000.0,153.1,0,0,0,0,0,0,5,1,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1 When entring the following command line : python csv2libsvm.py Z.csv data.txt 38 1 I got the following error: … Read more
The DictWriter doesn’t work the way you expect. To read it back: which is quite compact, but it assumes you don’t need to do any type conversion when reading
Now you have 7 fields. You need to map those 6 fields from the CSV into 6 fields into the table. You cannot map only 3 fields from csv when you have it 6 like you do in: All fields from the csv file need to to be mapped in the copy from command. And … Read more