I have this piece of code in python
data = np.empty(temp.shape) maxlat = temp.shape[0] maxlon = temp.shape[1] print(maxlat,maxlon) for i in range(0,maxlat) : for j in range(0,maxlon): data[i][j] = p_temperature(pr,temp[i][j])
When I run this code in Python 3.5, I get this error
ValueError : setting an array element with a sequence
The value of maxlat is 181 and the value of maxlon is 360.
The shape of temp array is (181,360)
I also tried the suggestion in the comments:
for i in range(0,maxlat) : for j in range(0,maxlon): data[i][j] = temp[i][j]
But I get the same error.
Based on the exception you get it seems likely that temp is an object array containing sequences. You could simply use numpy.empty_like:
data = np.empty_like(temp) # instead of "data = np.empty(temp.shape)"
This creates a new empty array with the same shape and dtype - like your original array.
For example:
import numpy as np temp = np.empty((181, 360), dtype=object) for i in range(maxlat) : for j in range(maxlon): temp[i][j] = [1, 2, 3]
With the new approach it works:
data = np.empty_like(temp) maxlat = temp.shape[0] maxlon = temp.shape[1] print(maxlat, maxlon) for i in range(maxlat) : for j in range(maxlon): data[i][j] = temp[i][j]
And this temp array also reproduces the exception on your original code sample:
data = np.empty(temp.shape) # your approach maxlat = temp.shape[0] maxlon = temp.shape[1] print(maxlat, maxlon) for i in range(maxlat) : for j in range(maxlon): data[i][j] = temp[i][j]
throws the exception:
ValueError: setting an array element with a sequence.
