[PYSTOCK] DataFrame 생성 방법에 따른 속도 차이

import time
import numpy as np
from pandas import DataFrame

data = np.random.rand(5000, 5000)

# Method1
start_time = time.time()
df = DataFrame(data)
elapsed_time = time.time() - start_time
print(elapsed_time)

# Method2
start_time = time.time()
df1 = DataFrame()
for row in data:
    df2 = DataFrame(row)
    df1.append(df2)

elapsed_time = time.time() - start_time
print(elapsed_time)

del data