I am creating the list as follows:
myList = []
for i in range(0,10):
val0 = 1 # some formula for obtaining values
val1 = 2.5
val2 = 1.8
myList.append([val0,val1,val2])
How can I do the same loop for pandas DataFrame (i.e. myList must be a DataFrame).
Ideally you want to create your DataFrame once you have all the data in place. Slightly modifying your example:
my_df = []
for i in range(0,10):
d = {
'val0' : 1, # some formula for obtaining values
'val1' : 2.5,
'val2' : 1.8
}
my_df.append(d)
my_df = pd.DataFrame(my_df)
So now my_df is a DataFrame with val0, val1 and val2 as columns
d = { 'val0' : 1, 'val1' : 2.5, 'val2' : 1.8 }.
if i got your question right:
import pandas as pd
myList = []
for i in range(0,10):
val0 = 1 # some formula for obtaining values
val1 = 2.5
val2 = 1.8
myList.append([val0,val1,val2])
df = pd.DataFrame(myList, columns=['val0','val1','val2'])
print(df)
PS you don't want to do append data to the DataFrame in the loop - it won't be very efficient.
Output:
val0 val1 val2
0 1 2.5 1.8
1 1 2.5 1.8
2 1 2.5 1.8
3 1 2.5 1.8
4 1 2.5 1.8
5 1 2.5 1.8
6 1 2.5 1.8
7 1 2.5 1.8
8 1 2.5 1.8
9 1 2.5 1.8
