I need to calculate frequency of float elements in list. Convert them to int I can't, because I need to manipulate then float values, not int.
My try in the code below:
values = [21.963, 23.4131, 23.7639, 24.3934, 24.5237, 25.2829, 25.394]
df = pd.Series(values).value_counts().sort_index().reset_index().reset_index(drop=True)
df.columns = ['Element', 'Frequency']
frequency = (df['Frequency'].values).tolist()
values = [21.963, 23.4131, 23.7639, 24.3934, 24.5237, 25.2829, 25.394]
frequency = [1, 1, 1, 1, 1, 1, 1]
from collections import Counter
Counter(values)
Output:
Counter({21.963: 1,
23.4131: 1,
23.7639: 1,
24.3934: 1,
24.5237: 1,
25.2829: 1,
25.394: 1})
list2 = list(Counter(values).values())
list2
Output:
[1, 1, 1, 1, 1, 1, 1]