I want to convert this dictionary to a list of float elements.
I have some code, but I don't know how to achieve this. The .csv
file I have consists of both number and words. The new dictionary that is created only consists of some of the elements from the .csv
file.
import csv
def load_csv(filename):
with open (filename, 'r') as file:
reader = csv.reader(file)
result = {}
for row in reader:
key = row[1]
if key in result:
pass
result[key] = row[3:]
lowercase = {k.lower(): v for k, v in result.items()}
# This last part is just to check which type the elements are
s = lowercase.values()
print(type(s))
for i in lowercase.values():
print (type(i))
print(lowercase)
load_csv('CO2Emissions_filtered.csv')
CodePudding user response:
You're going to have to explain what your input currently looks like and what your desired output should look like.
If I understand the question, you want to create a list of floats from the values in the dictionary? If so, all you need to do is a simple list comprehension using the values of the dictionary.
float_elements = [float(val) for val in dict.values()]
CodePudding user response:
If you want a dict into a list with key and value, this is an option.
import csv
def load_csv (filename):
with open (filename, 'r')as f:
reader = f.readlines()
result = []
for row in enumerate(reader):
result.append(row)
print(result)