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我將一些數據轉換爲csv文件,因爲它需要一段時間才能計算。該數據是一個元組列表,短版在這裏:將數據粘貼到csv中並將它們讀回numpy
[(90, 5, '69.1'), (91, 5, '59.8'), (90, 6, '48.1'), (91, 6, '41.8')]
我做這樣說:
# Save results
import csv
with open('results/bake.csv','w') as out:
csv_out=csv.writer(out)
for row in data:
csv_out.writerow(row)
但是當我讀回以這樣的方式
with open('results/bake.csv', 'Ur') as f:
data = list(tuple(rec) for rec in csv.reader(f, delimiter=','))
x, y, z = zip(*data)
z = map(float, z)
grid_x, grid_y = np.mgrid[min(x):max(x):100j, min(y):max(y):100j]
grid_z = griddata((x, y), z, (grid_x, grid_y), method='cubic')
我得到這個錯誤:
grid_x, grid_y = np.mgrid[min(x):max(x):100j, min(y):max(y):100j]
File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/lib/index_tricks.py", line 188, in __getitem__
step = key.step
AttributeError: 'tuple' object has no attribute 'step'
它必須是我在編寫和讀回數據時做錯了,因爲當我直接提供數據而沒有緩存在csv文件中時,它工作得很好。
我在做什麼錯?