I have a long list of lists of the following form ---
a = [[1.2,'abc',3],[1.2,'werew',4],........,[1.4,'qew',2]] i.e. the values in the list are of different types -- float,int, strings.How do I write it into a csv file so that my output csv file looks like
1.2,abc,3 1.2,werew,4 . . . 1.4,qew,2 12 Answers
Python's built-in CSV module can handle this easily:
import csv with open("output.csv", "wb") as f: writer = csv.writer(f) writer.writerows(a) This assumes your list is defined as a, as it is in your question. You can tweak the exact format of the output CSV via the various optional parameters to csv.writer() as documented in the library reference page linked above.
Update for Python 3
import csv with open("out.csv", "w", newline="") as f: writer = csv.writer(f) writer.writerows(a) You could use pandas:
In [1]: import pandas as pd In [2]: a = [[1.2,'abc',3],[1.2,'werew',4],[1.4,'qew',2]] In [3]: my_df = pd.DataFrame(a) In [4]: my_df.to_csv('my_csv.csv', index=False, header=False) import csv with open(file_path, 'a') as outcsv: #configure writer to write standard csv file writer = csv.writer(outcsv, delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL, lineterminator='\n') writer.writerow(['number', 'text', 'number']) for item in list: #Write item to outcsv writer.writerow([item[0], item[1], item[2]]) Using csv.writer in my very large list took quite a time. I decided to use pandas, it was faster and more easy to control and understand:
import pandas yourlist = [[...],...,[...]] pd = pandas.DataFrame(yourlist) pd.to_csv("mylist.csv") The good part you can change somethings to make a better csv file:
yourlist = [[...],...,[...]] columns = ["abcd","bcde","cdef"] #a csv with 3 columns index = [i[0] for i in yourlist] #first element of every list in yourlist not_index_list = [i[1:] for i in yourlist] pd = pandas.DataFrame(not_index_list, columns = columns, index = index) #Now you have a csv with columns and index: pd.to_csv("mylist.csv") If for whatever reason you wanted to do it manually (without using a module like csv,pandas,numpy etc.):
with open('myfile.csv','w') as f: for sublist in mylist: for item in sublist: f.write(item + ',') f.write('\n') Of course, rolling your own version can be error-prone and inefficient ... that's usually why there's a module for that. But sometimes writing your own can help you understand how they work, and sometimes it's just easier.
If you don't want to import csv module for that, you can write a list of lists to a csv file using only Python built-ins
with open("output.csv", "w") as f: for row in a: f.write("%s\n" % ','.join(str(col) for col in row)) Ambers's solution also works well for numpy arrays:
from pylab import * import csv array_=arange(0,10,1) list_=[array_,array_*2,array_*3] with open("output.csv", "wb") as f: writer = csv.writer(f) writer.writerows(list_) How about dumping the list of list into pickle and restoring it with pickle module? It's quite convenient.
>>> import pickle >>> >>> mylist = [1, 'foo', 'bar', {1, 2, 3}, [ [1,4,2,6], [3,6,0,10]]] >>> with open('mylist', 'wb') as f: ... pickle.dump(mylist, f) >>> with open('mylist', 'rb') as f: ... mylist = pickle.load(f) >>> mylist [1, 'foo', 'bar', {1, 2, 3}, [[1, 4, 2, 6], [3, 6, 0, 10]]] >>> Make sure to indicate lineterinator='\n' when create the writer; otherwise, an extra empty line might be written into file after each data line when data sources are from other csv file...
Here is my solution:
with open('csvfile', 'a') as csvfile: spamwriter = csv.writer(csvfile, delimiter=' ',quotechar='|', quoting=csv.QUOTE_MINIMAL, lineterminator='\n') for i in range(0, len(data)): spamwriter.writerow(data[i]) In case of exporting lll list of lists of lists to .csv, this will work in Python3:
import csv with open("output.csv", "w") as f: writer = csv.writer(f) for element in lll: writer.writerows(element) I got an error message when following the examples with a newline parameter in the csv.writer function. The following code worked for me.
with open(strFileName, "w") as f: writer = csv.writer(f, delimiter=',', quoting=csv.QUOTE_MINIMAL) writer.writerows(result) Didn't see even a single answer on this page that includes how to include header as well to create the file. Here is a method incorporating that as well. Method works great with python 3
csv_filename = 'abc.csv' fieldnames = ['Col_1','Col_2','Col_3','Col_4'] with open(csv_filename, mode='w') as csv_file: writer = csv.DictWriter(csv_file, fieldnames=fieldnames) writer.writeheader() for i in my_list: writer.writerow({fieldnames[0]: i[0], fieldnames[1]: i[1], fieldnames[2]: i[2],fieldnames[3]: i[3]}) 
