[英]How to make np.loadtxt return multidimensional arrays even the file has only one dimensional?
[英]How to make python only return valid data using np.loadtxt
我已經編寫了用於加載數據文件的代碼。 我這樣做了,因此如果數據不符合特定要求,則會出現錯誤消息。 但是我需要它也只返回有效數據。 我似乎無法獨自找到一種方法,因此希望有人可以幫助我。 我的代碼如下
import numpy as np
def dataLoad(filename):
initialData = np.loadtxt(filename)
for i in range (len(initialData)):
if initialData[i,0]>60 or initialData[i,0]<10:
print("Temperature must be between 10 and 60. Error in column 1 row {}.".format(initialData.shape[0]))
if initialData[i,1]<0:
print("Bacteria Growth Rate must be higher than, or equal to 0. Error in column 2 row row {}.".format(initialData.shape[0]))
if initialData[i,2] not in [1, 2, 3, 4]:
print("Bacteria Category must be one of the numbers: 1, 2, 3 and 4. Error in column 3 row {}.".format(initialData.shape[0]))
else:
pass
data = initialData.reshape(-1,3)
return data
解決該問題的一種方法是通過將無效行的索引存儲在列表中,然后使用np.delete在返回之前將它們從initialData
刪除來跟蹤無效行的索引。 該函數將一個數組,要刪除的索引列表以及應該刪除數據點的軸作為輸入,在這種情況下,當您刪除行時,該點將為0。
您的代碼將如下所示:
import numpy as np
def dataLoad():
del_indices= []
initialData = np.loadtxt(filename)
for i in range (len(initialData)):
if initialData[i,0]>60 or initialData[i,0]<10:
print("Temperature must be between 10 and 60. Error in column 1 row {}.".format(initialData.shape[0]))
del_indices.append(i)
if initialData[i,1]<0:
print("Bacteria Growth Rate must be higher than, or equal to 0. Error in column 2 row row {}.".format(initialData.shape[0]))
del_indices.append(i)
if initialData[i,2] not in [1, 2, 3, 4]:
print("Bacteria Category must be one of the numbers: 1, 2, 3 and 4. Error in column 3 row {}.".format(initialData.shape[0]))
del_indices.append(i)
initialData = np.delete(initialData,del_indices, axis=0)
data = initialData.reshape(-1,3)
return data
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