问题描述
我点击此链接,以将我所有的numpy文件都放在一个文件中.现在,我需要绘制包含许多数组的文件,每个数组包含一些浮点数:这是将数组附加到一个大数组中的最终代码:
I follow this links How to append many numpy files into one numpy file in python to put all my numpy files in one file.Now, I need to plot my file which contains many arrays, each array contain some float number: this is my final code to append arrays in one big array:
import matplotlib.pyplot as plt
import numpy as np
import glob
import os, sys
fpath ="/home/user/Desktop/OutFileTraces.npy"
npyfilespath="/home/user/Desktop/test"
os.chdir(npyfilespath)
npfiles= glob.glob("*.npy")
npfiles.sort()
all_arrays = []
with open(fpath,'ab') as f_handle:
for npfile in npfiles:
#Find the path of the file and Load file
all_arrays.append(np.load(os.path.join(npyfilespath, npfile)))
np.save(f_handle, all_arrays)
data = np.load(fpath)
print data
这段代码给我这样的结果:
This code gives me results like this:
[[[[-0.00824758 -0.0081808 -0.00811402 ..., -0.0077236 -0.00765425
-0.00762086]]]
[[[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
-0.0082296 ]]]
[[[ 0.01028957 0.01005326 0.0098298 ..., -0.01043341 -0.01050019
-0.01059523]]]
...,
[[[ 0.00614908 0.00581004 0.00549154 ..., -0.00814741 -0.00813457
-0.00809347]]]
[[[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
-0.00784175]]]
[[[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
-0.03575151]]]]
我需要绘制包含最终文件OutFileTraces.npy的图表,该文件包含大数组.为此,我使用以下代码:
I need to plot the plot the final file OutFileTraces.npy which contains the big array. For that I use this code:
import matplotlib.pyplot as plt
import numpy as np
dataArray1= np.load(r'/home/user/Desktop/OutFileTraces.npy')
print(dataArray1)
plt.plot(dataArray1.T )
plt.show()
它给了我这个错误:
所有这些值都表示y_axe,但是我的x轴表示从1到8000的点.因此,据我了解,为了绘制最终的大数组,它必须看起来像这样(区别在于[]
):
All that values represents the y_axe, however my x-axe represents points from 1 to 8000. So, as I understand,in order to plot my final big array, it must looks like this (The difference is on []
):
[[-0.00824758 -0.0081808 -0.00811402 ..., -0.0077236 -0.00765425
-0.00762086]
[-0.00141527 -0.00160791 -0.00176716 ..., -0.00821419 -0.00822446
-0.0082296 ]
[ 0.01028957 0.01005326 0.0098298 ..., -0.01043341 -0.01050019
-0.01059523]
...,
[0.00614908 0.00581004 0.00549154 ..., -0.00814741 -0.00813457
-0.00809347]
[-0.00291786 -0.00309509 -0.00329287 ..., -0.00809861 -0.00797789
-0.00784175]
[-0.00379887 -0.00410453 -0.00438963 ..., -0.03497837 -0.0353842
-0.03575151]]
我可以轻松地绘制此文件.
I can easily plot this file.
所以我无法真正理解问题.
So I can't really understand the problem.
如果您能帮助我,我将不胜感激.
I would be very grateful if you could help me.
推荐答案
如果将2D数组提供给 plot 函数,它将假定列为行:
if you give a 2D array to the plot function of matplotlib it will assume the columns to be lines:
在您的情况下,您的形状不被接受(100、1、1、8000).因此,您可以使用numpy 挤压来解决问题快速:
In your case your shape is not accepted (100, 1, 1, 8000). As so you can using numpy squeeze to solve the problem quickly:
import numpy as np
import matplotlib.pyplot as plt
data = np.random.randint(3, 7, (10, 1, 1, 80))
newdata = np.squeeze(data) # Shape is now: (10, 80)
plt.plot(newdata) # plotting by columns
plt.show()
但是请注意,对于matplotlib,100套80 000点是很多数据.我建议您寻找替代方案.该代码示例的结果(在 Jupyter 中运行)是:
But notice that 100 sets of 80 000 points is a lot of data for matplotlib. I would recommend that you look for an alternative. The result of the code example (run in Jupyter) is:
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