Could someone help me out to understand how python sum values from a row and also from a column, the second I believe that I have figured out still I have not grasp the concept so far, once I will be able to assign values, sum, filter to a variable I can move forward to visualisation.
File
Year Jan Fev Mar ... Annual
1948 4.0 4.7 4.5 ... 3.8
1949 5.0 5.8 5.6 ... 5.9
...
with open('unemployment1948.csv', 'r') as unFile:
unReader = csv.DictReader(unFile, delimiter = ',')
unHeads = unReader.fieldnames
print(unHeads)
u = defaultdict(float)
for r in unReader:
for v in r['Year']:
try:
d[r['1948']] += float(v)
except ValueError:
pass
print(d)
pandas
seems to be the 'go to' tool for work like this in Python.
Looks like you have a DataFrame so with pandas
you should be able to do something like:
df.sum(axis = 0)
where axis=0
will return values for months and
df.sum(axis = 1)
will return values for the years.
This answer also has some examples as well as the pandas docs themselves.