类型错误：与numpy的数组prblem：不能按类型的“浮动”非INT繁衍序列 [英] TypeError: can't multiply sequence by non-int of type 'float' : prblem with NumPy arrays

问题描述

我是pretty新Python.I知道，当一个人试图乘以分数即浮动字符串出现此错误。就我而言，我无法弄清楚如何能在numpy的浮点阵列是一个字符串。下面是完成code。

I am pretty new to Python.I know this error occurs when one tries to multiply a string with a fraction i.e float. In my case , I can't figure out how can a numpy floating point array be a string. Here's complete the code.

#!usr/bin/python

import os
import numpy as np
import matplotlib.pyplot as plt
import pylab
from numpy import *

# Declaration of constants

K = 3.14159265359
N= 10
p_za=[]
pv_za_temp=[]
#-----------------------
#Allotment of particles
#-----------------------

p_initial = np.linspace(0,2,num=10)

pv_za_temp.append(np.array(p_initial))

print pv_za_temp

#Displacement of particles using Zeldovich Approximation
def t_range(start, end, step):
  while start <= end:
    yield start
    start += step

for t in t_range(0,1,0.1):
  print t
  p_za=[]
  pv_za=[]
  # Opening file in file_t format
  fname = 'file_' + str(t) + '.dat'
  fo = open(fname,'w')

# p_za.append(p_initial - t*K*np.sin(K*p_initial))
  pv_za.append(K*np.sin(K*pv_za_temp))
  pv_za_temp = []
  pv_za_temp.append(np.array(pv_za))

这是显示错误行是：

pv_za.append(K*np.sin(K*pv_za_temp))

我想不通的问题。当此行显示错误，它上面的线出来的作品非常清楚。错误消息是：

I can't figure out the problem. When this line shows error, the line above it works out perfectly well. The error message is :

Traceback (most recent call last):
  File "ZA.py", line 40, in <module>
    pv_za.append(K*np.sin(K*pv_za_temp))
TypeError: can't multiply sequence by non-int of type 'float'

请帮帮忙！

推荐答案

pv_za_temp 是一个普通的Python列表，它不支持标量乘法。你需要一个numpy的数组，你可以从一个完整的列表通过使用创建

pv_za_temp is an ordinary Python list, which doesn't support scalar multiplication. You need a NumPy array, which you can create from a complete list by using

pv_za_temp = np.array(pv_za_temp)

注意 .array 不支持 .append 。要么完全建立名单提前，或使用 hstack 或 vstack 为宜。

Note that .array doesn't support .append. Either build the list completely in advance, or use hstack or vstack as appropriate.

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