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我有一個csv文件,其中包含超過200 000行的氣象數據。當我想將數據與matplotlib
建模,出現此錯誤:Bypass「Array is too big」python error
Traceback (most recent call last):
File "try4.py", line 19, in <module>
X,Y = meshgrid(data_x,data_y)
File "C:\Python27\lib\site-packages\numpy\lib\function_base.py", line 3378, in meshgrid
mult_fact = np.ones(shape, dtype=int)
File "C:\Python27\lib\site-packages\numpy\core\numeric.py", line 148, in ones
a = empty(shape, dtype, order)
ValueError: array is too big.
我發現有5000行最大一個文件進行處理。 如何繞過錯誤以處理200000行的所有文件? 這裏是我的代碼:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.mlab as mlab
from pylab import *
# read CSV as a numpy array
data = mlab.csv2rec('datasets/mix.csv')
# print CSV file headers
print data.dtype.names
# load columns as vectors
data_x = data['longitude']
data_y = data['latitude']
data_u = data['x']
data_v = data['y']
X,Y = meshgrid(data_x,data_y)
U = cos(data_u)
V = sin(data_v)
# plot raw data
Q = quiver(X, Y, U, V, units='width')
qk = quiverkey(Q, 0.5, 0.92, 2, '.', labelpos='W',
fontproperties={'weight': 'bold'})
title('Current Surface')
plt.show()
數組元素看起來像什麼?這個答案:http://stackoverflow.com/questions/13652650/matplotlib-plot-array-size-limit似乎認爲沒有一個明顯的數組限制(如果這樣至少在1m +元素) – ydaetskcoR
@ydaetskcoR在這裏是一個示例 //頭X,Y,經緯度,VOGRD_201304100000 //數據292,1,000000,-50.530000,0和200000其他類似的行 – So4ne
您能否提供更多信息?你正在使用哪種'matplotlib'調用等。 – tiago