I am trying to merge two csv files with a common id column and write the merge to a new file. I have tried the following but it is giving me an error -
import c
Here is an example using pandas
import sys
from StringIO import StringIO
import pandas as pd
TESTDATA=StringIO("""DOB;First;Last
2016-07-26;John;smith
2016-07-27;Mathew;George
2016-07-28;Aryan;Singh
2016-07-29;Ella;Gayau
""")
list1 = pd.read_csv(TESTDATA, sep=";")
TESTDATA=StringIO("""Date of Birth;Patient First Name;Patient Last Name
2016-07-26;John;smith
2016-07-27;Mathew;XXX
2016-07-28;Aryan;Singh
2016-07-20;Ella;Gayau
""")
list2 = pd.read_csv(TESTDATA, sep=";")
print list2
print list1
common = pd.merge(list1, list2, how='left', left_on=['Last', 'First', 'DOB'], right_on=['Patient Last Name', 'Patient First Name', 'Date of Birth']).dropna()
print common
Thanks Shijo.
This is what worked for me after - merged by the first column in each csv.
import csv
from collections import OrderedDict
with open('stops.csv', 'rb') as f:
r = csv.reader(f)
dict2 = {row[0]: row[1:] for row in r}
with open('stops2.csv', 'rb') as f:
r = csv.reader(f)
dict1 = OrderedDict((row[0], row[1:]) for row in r)
result = OrderedDict()
for d in (dict1, dict2):
for key, value in d.iteritems():
result.setdefault(key, []).extend(value)
with open('ab_combined.csv', 'wb') as f:
w = csv.writer(f)
for key, value in result.iteritems():
w.writerow([key] + value)