I have written code to read a CSV into a python dictionary, which works fine. I'm trying to get the dictionary back to a CSV. I have written the following:
import csv itemDict={} listReader = csv.reader(open('/Users/broberts/Desktop/Sum_CSP1.csv','rU'), delimiter = ',', quotechar='|') for row in listReader: fID = row[0] fClassRange = row[1] fArea = row[2] if itemDict.has_key(fID): itemDict[fID][fClassRange]=fArea else: itemDict[fID] = {'5.0 to 5.25':'','5.25 to 5.5':'','5.5 to 5.75':'','5.75 to 6.0':'','6.0 to 6.25':'','6.25 to 6.5':'','6.5 to 6.75':'','6.75 to 7.0':'','7.0 to 7.25':'','7.25 to 7.5':'','7.5 to 7.75':'','7.75 to 8.0':'','8.0 to 8.25':'',} itemDict[fID][fClassRange]=fArea listWriter = csv.writer(open('/Users/broberts/Desktop/Sum_CSP1_output.csv', 'wb'), delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL) for a in itemDict: print a listWriter.writerow(a)
In the last block, listWriter will not write anything to the CSV though it will print a. I believe this has something to do with a dictionary being unordered. I really need to write out the fID and each of the keys associated with each fID (fClassRange ex. "5.0 to 5.25") and then the value fArea associated with each fClassRange to the CSV, but I haven't even gotten that far in my code since I can't figure out how to write out even the fID.
I looked into using DictWriter
, but I can't figure out how to tell it what the required fieldnames are.
In Python to convert a dictionary to CSV use the dictwriter() method. This method is used to insert data into the CSV file. In Python, the CSV module stores the dictwriter() method. It creates an object and works like the dictwriter().
Easiest way is to open a csv file in 'w' mode with the help of open() function and write key value pair in comma separated form. The csv module contains DictWriter method that requires name of csv file to write and a list object containing field names.
The default writer expects a list, which is why it won't work for you. To use the dictwriter, just change your listwriter =
line to this:
with open('/Users/broberts/Desktop/Sum_CSP1_output.csv', 'wb') as outfile: listWriter = csv.DictWriter( outfile, fieldnames=itemDict[itemDict.keys()[0]].keys(), delimiter=',', quotechar='|', quoting=csv.QUOTE_MINIMAL )
Or, you can just set fieldnames
to be fieldnames=['arbitrary','list','of','keys']
if you know what the fields are supposed to be.
Sample data:
mydict = [{"col1": 1000, "col2": 2000}, {"col1": 3000, "col2": 4000}]
One-liner for converting a list of dicts to CSV, using pandas:
import pandas as pd pd.DataFrame(mydict).to_csv('out.csv', index=False)
Results:
col1,col2 1000,2000 3000,4000
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With