Here's my situation. I got two lists:
A list which comes from DF column (OS_names)
A list with the unique values of that column (OS_values)
OS_name = df['OS_name'].tolist()
OS_values = df.OS_name.unique().tolist()
I want to create several lists (one per value in OS_values) like this :
t = []
for i in range(0,len(OS_name)-1):
if OS_values[0] == OS_name[i]:
t.append(1)
else:
t.append(0)
I want to create a list per each value in OS_value, then store them into a dictionary, and at the end creating a df from my dictionary. If you're able to insert the value as the key it would be great, but not necessary. I read the defaultdict may be helpful but I cannot find a way to use it.
thanks for the help and have a great day!
I did it at the very end.
dict_stable_feature = dict()
for col in df_stable:
t1 = df[col].tolist()
t2 = df[col].unique().tolist()
for value in t2:
t = []
for i in range (0, len(t1)-1):
if value == t1[i]:
t.append(1)
else:
t.append(0)
cc = str(col)
vv = "_" + str(value)
cv = cc + vv
dict_stable_feature[cv] = t