![]() ![]() Now say we have double quotes in our cells. Reader = csv.reader(file,skipinitialspace=True) Hence,the parameter “skipinitialspace” needs to be utilized in csv.reader():.This kind of result is not expected, and hence we want to skip those whitespaces.One can notice the “whitespaces” before the 2 nd and 3 rd columns. Like here, we quoted all values of the cell with a single inverted comma. This quote char helps in the surrounding values of the file with special values/characters. In order to overcome this issue, we can use one parameter inside the csv.reader, i.e.As one can notice, commas present in “EMP_Address” will make it split into different columns.Now let’s say we have a csv file that looks like this: Delimiter helps to specify the separator of a file. Once the reader object is ready, it is looped around to print the content line by line. Reader = csv.reader(file,delimiter = ' ') Like, if the file is a semi-colon separated file. Here csv.reader() is used to read csv file, however the functionality is customizable. Os.chdir("My Folder/Personnel/EDUCBA/Jan")Įxplanation of the above code: As one can see, “open(‘Emp_Info.csv’)” is opened as the file.”csv.reader()” is used to read the file, which returns an iterable reader object. One needs to set the directory where the csv file is kept. Let’s explore more about csv through some examples: Read the CSV File Example #1 Examples to Implement Python Read CSV File There are many functions of the csv module, which helps in reading, writing and with many other functionalities to deal with csv files. One can notice, commas separate elements in the csv file. Python read file software#Web development, programming languages, Software testing
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