numpy

Question

मैं एक फ़ाइल है कि numpy loadtxt के साथ एक 2 डी मैट्रिक्स का प्रतिनिधित्व करता है लोड करने के लिए कोशिश कर रहा हूँ के साथ वैज्ञानिक संकेतन csv फ़ाइल पढ़ने

cov = np.loadtxt("cov.csv") 

पहला तत्व वैज्ञानिक संकेतन जो एक विफलता का कारण बनता है

--------------------------------------------------------------------------- 
ValueError        Traceback (most recent call last) 
<ipython-input-80-0796abd8c0f7> in <module>() 
----> 1 cov = np.loadtxt("cov.csv") 

C:\home\Anaconda3\lib\site-packages\numpy\lib\npyio.py in loadtxt(fname, dtype, comments, delimiter, converters, skiprows, usecols, unpack, ndmin) 
    858 
    859    # Convert each value according to its column and store 
--> 860    items = [conv(val) for (conv, val) in zip(converters, vals)] 
    861    # Then pack it according to the dtype's nesting 
    862    items = pack_items(items, packing) 

C:\home\Anaconda3\lib\site-packages\numpy\lib\npyio.py in <listcomp>(.0) 
    858 
    859    # Convert each value according to its column and store 
--> 860    items = [conv(val) for (conv, val) in zip(converters, vals)] 
    861    # Then pack it according to the dtype's nesting 
    862    items = pack_items(items, packing) 

ValueError: could not convert string to float: b'5.0e-7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0' 

मुझे यह काम करने के तरीके पर कोई दस्तावेज नहीं मिला।

numpy version: 1.9.2 
python version: 3.4.3 |Anaconda 2.3.0 (32-bit)| (default, Mar 6 2015, 12:08:17) [MSC v.1600 32 bit (Intel)] 

Answer 1

यह वैज्ञानिक संकेत नहीं है कि समस्या है; यह है कि loadtxt डिफ़ॉल्ट डेलीमीटर किसी भी सफेद जगह है। आप एक सीएसवी पढ़ रहे हैं, इसलिए delimiter="," निर्दिष्ट करें:

>>> np.loadtxt("cov.csv") 
Traceback (most recent call last): 
    File "<ipython-input-1-6fdfa7467ef5>", line 1, in <module> 
    np.loadtxt("cov.csv") 
    File "/usr/local/lib/python3.4/dist-packages/numpy/lib/npyio.py", line 928, in loadtxt 
    items = [conv(val) for (conv, val) in zip(converters, vals)] 
    File "/usr/local/lib/python3.4/dist-packages/numpy/lib/npyio.py", line 928, in <listcomp> 
    items = [conv(val) for (conv, val) in zip(converters, vals)] 
    File "/usr/local/lib/python3.4/dist-packages/numpy/lib/npyio.py", line 659, in floatconv 
    return float(x) 
ValueError: could not convert string to float: b'5.0e-7,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0' 

>>> np.loadtxt("cov.csv", delimiter=",") 
array([ 5.00000000e-07, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 
     0.00000000e+00, 0.00000000e+00, 0.00000000e+00])