Currently I have a csv file in which the last column, which we can refer to as label, is empty. Here is a picture of the data:
I get predictions through a classifier:
[0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 0. 0. 0.]
Thus my question is how to write these predictions into the last column (label)?
Potentially one of the easiest solutions would be to read your data in using pandas.
my_dataframe = pandas.read_csv("filename")
Then assuming your label column is some kind of list/array or even pandas series, you can simply enter
my_dataframe["label"] = my_label_list
subsequently you write back your pandas dataframe using
my_dataframe.to_csv("filename_out")
NOTE: I omitted additional parameter arguments for reading and writing the csv, you can google and read the docs and add them as you see fit.
You should read your data from csv file without the last column
df = pd.DataFrame(data, columns = ['domain_name_length', 'domain_name_enthropy', 'digit_num', 'alpha_num', 'delimiter_num', 'special_num','max_conitous_digit_length','max_conitous_alpha_length','max_length_between_delimeter'])
Than just add your column
df['labels'] = labels
