I have a dictionary that looks like this...
cla_1results= {"Tom":[1,7,4],"Dunc":[3,9,4],"Jack":[1,3,5]}
I want to write this dictionary to a csv so that it is in the following format
Don't have the rep to post images but it would be something like this...
Tom, 1, 7, 4
Dunc 3, 9, 4
Jack 1, 3, 5
Nothing I've tried has worked. My recent effort is below but I'm a real beginner with Python and programming in general.
import csv
cla_1results= {"Tom":[1,7,4],"Dunc":[3,9,4],"Jack":[1,3,5]}
cla_2results = {"Jane":[1,7,4],"Lynda":[3,9,4],"Dave":[1,3,5]}
cla_3results = {"Gemma":[1,7,4],"Steve":[3,9,4],"Jay":[1,3,5]}
b = open ('test.csv','w')
a = csv.writer(b)
data = cla_1results= {"Tom":[1,7,4],"Dunc":[3,9,4],"Jack":[1,3,5]}
a.writerows(data)
b.close()
which unfortunately only gives me:
T, o, m
D, u, n, c
J, a, c, k
etc
This should work, you just needed a list to generate csv file, so it can be generated on the fly as well.
import csv
cla_1results= {"Tom":[1,7,4],"Dunc":[3,9,4],"Jack":[1,3,5]}
with open('test.csv', 'wb') as csvfile:
writer = csv.writer(csvfile, delimiter=',')
for key,value in cla_1results.iteritems():
writer.writerow([key]+value)
You can use the DataFrame.from_dict()
classmethod to convert dict
to DataFrame and then can use to_csv
to convert the dataframe to csv. I have used header=False
to strip off the headers.
from pandas import DataFrame
cla_1results = {"Tom": [1, 7, 4], "Dunc": [3, 9, 4], "Jack": [1, 3, 5]}
df = DataFrame.from_dict(cla_1results, orient='index')
print(df.to_csv(header=False))
Dunc,3,9,4
Jack,1,3,5
Tom,1,7,4
Try:
import csv
with open('test.csv', 'wb') as csvfile:
c = csv.writer(csvfile)
line = []
for key, value in cla.iteritems():
line.append(key)
for i in value:
line.append(i)
c.writerow(line)
data = {"Tom":[1,7,4],"Dunc":[3,9,4],"Jack":[1,3,5]}
with open('test.csv', 'w') as f:
for k, vals in data.items():
line = ','.join([k] + map(str, vals)) + '\n'
f.write(line)
One of many ways to do it:
import csv
cla_1results = {
"Tom": [1, 7, 4],
"Dunc": [3, 9, 4],
"Jack": [1, 3, 5]
}
with open("test.csv", 'w+') as file:
writer = csv.writer(file)
for name in cla_1results:
writer.writerow([name, ] + [i for i in cla_1results[name]])
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