# Load the files using pandas
import pandas as pd

df = pd.read_csv("/Users/serafeim/Downloads/Testfile.csv")

# Get the desired elements based on 'Time' column
mask = df['Time'] < 0.1

# Write the new file
df_1 = df[mask] # or directly use: df_1 = df[df['Time'] < 0.1]

# save it
df_1.to_csv("Testfile1.csv")

print(df_1)
    No.      Time  Length
0    1  0.000000     146
1    2  0.006752     116
2    3  0.019767     156
3    4  0.039635     144
4    5  0.060090     147
5    6  0.069165     138
6    7  0.079700     133
7    8  0.099397     135

#For 0.1 to 0.2 applying 2 logical conditions
df_2 = df[(df['Time'] > 0.1) & (df['Time'] < 0.2)]

import pandas as pd

lower = [0,0.1,0.3]
upper = [0.1,0.2,0.4]

df = pd.read_csv("/Users/serafeim/Downloads/Testfile.csv")

for k,(i,j) in enumerate(zip(lower,upper)):
    # i and j will get the lower and upper values
    temp = df[(df['Time'] > i) & (df['Time'] < j)]
    temp.to_csv("/Users/serafeim/Downloads/aaa_{}".format(k))