I'm trying to get the counts of unique items in a csv column using Python.
Sample CSV file (has no header):
AB,asd
AB,poi
AB,asd
BG,put
BG,asd
I've tried this so far.
import csv
from collections import defaultdict, Counter
input_file = open('Results/1_sample.csv')
csv_reader = csv.reader(input_file, delimiter=',')
data = defaultdict(list)
for row in csv_reader:
data[row[0]].append(row[1])
for k, v in data.items():
print k
print Counter(v)
This gives output in this format:
AB
Counter({'asd': 2, 'poi': 1})
BG
Counter({'asd': 1, 'put': 1})
But I want my output to be like:
AB:2
BG:2
total_unique_count:3 #unique count of column[1], irrespective of the data in column[0]
You're looking for the SeriesGroupby method nunique
:
In [11]: df
Out[11]:
0 1
0 AB asd
1 AB poi
2 AB asd
3 BG put
4 BG asd
In [12]: g = df.groupby(0)
In [13]: g[1].nunique()
Out[13]:
0
AB 2
BG 2
Name: 1, dtype: int64
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