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I am scraping some data from a website. I have names, and prices lists from different pages. I want to stack two lists first, then an array contains all data in rows for each page. However, np.insert gives the following error:

'ValueError: could not convert string to float'.

Here is the code

import numpy as np

finallist = []
...
for c in range(0, 10)
    narr = np.array(names)
    parr = np.array(prices)

    nparr = np.array(np.column_stack((narr, parr)))

    finallist = np.insert(finallist, c, nparr)

What I want to accomplish is the following.

finallist =  [[[name1, price1], [name2, price3], ...] # from page one
               [name1, price1], [name2, price3], ...] # from page two
               ...                                  ] # from page x

So that I will be able reach all data.

Improve this question
7
  • Try setting dtype implicitly when creating arrays Commented Feb 17, 2017 at 10:11
  • How exactly can I do that? Commented Feb 17, 2017 at 10:16
  • If it is as following. Then it does not work. narr = np.array(names, dtype=str) Commented Feb 17, 2017 at 10:22
  • Possible duplicate of NumPy array/matrix of mixed types Commented Feb 17, 2017 at 10:26
  • If you want to work with data like that you might want to try using pandas. Commented Feb 17, 2017 at 10:28
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