Save Results to Csv File with Python
Import Csv with Open('Test. Csv', 'Rb') as F: Data = List(Csv. Reader(F)) Import Collections Counter = Collections. Defaultdict(Int) for Row in Data...
import csv
with open('test.csv', 'rb') as f:
data = list(csv.reader(f))
import collections
counter = collections.defaultdict(int)
for row in data:
counter[row[1]] += 1
for row in data:
if counter[row[1]] >= 4:
writer = csv.writer(open("test1.csv", "wb"))
writer.writerows(row)
I am getting strange output! What is wrong with this code?
7 Answers
I know the question is asking about your "csv" package implementation, but for your information, there are options that are much simpler — numpy, for instance.
import numpy as np
np.savetxt('data.csv', (col1_array, col2_array, col3_array), delimiter=',')
(This answer posted 6 years later, for posterity's sake.)
In a different case similar to what you're asking about, say you have two columns like this:
names = ['Player Name', 'Foo', 'Bar']
scores = ['Score', 250, 500]
You could save it like this:
np.savetxt('scores.csv', [p for p in zip(names, scores)], delimiter=',', fmt='%s')
scores.csv would look like this:
Player Name,Score
Foo,250
Bar,500
Use csv.writer:
import csv
with open('thefile.csv', 'rb') as f:
data = list(csv.reader(f))
import collections
counter = collections.defaultdict(int)
for row in data:
counter[row[0]] += 1
writer = csv.writer(open("/path/to/my/csv/file", 'w'))
for row in data:
if counter[row[0]] >= 4:
writer.writerow(row)
You can close files not csv.writer object, it should be:
f = open(fileName, "wb")
writer = csv.writer(f)
String[] entries = "first*second*third".split("*");
writer.writerows(entries)
f.close()
You can save it as follow if you have Pandas Dataframe
df.to_csv(r'/dir/filename.csv')
An easy example would be something like:
writer = csv.writer(open("filename.csv", "wb"))
String[] entries = "first#second#third".split("#");
writer.writerows(entries)
writer.close()
This is how I do it
import csv
file = open('???.csv', 'r')
read = csv.reader(file)
for column in read:
file = open('???.csv', 'r')
read = csv.reader(file)
file.close()
file = open('????.csv', 'a', newline='')
write = csv.writer(file, delimiter = ",")
write.writerow((, ))
file.close()
this will provide exact output
import csv
import collections
with open('file.csv', 'rb') as f:
data = list(csv.reader(f))
counter = collections.defaultdict(int)
for row in data:
counter[row[0]] += 1
writer = csv.writer(open("file1.csv", 'w'))
for row in data:
if counter[row[0]] >= 1:
writer.writerow(row)
Sarah Jenkins is a veteran tech journalist with over 12 years of experience covering artificial intelligence, mobile innovations, and digital ethics. Her insights have appeared in leading technology publications worldwide.
