How to write values of dictionary in numpy array to csv file instead of the full dictionary?

Question

I'm trying to write a multidimensional numpy array to a .csv file. This array includes words, numbers, and a dictionary. When writing the file, my code prints the keys and values to the array. However, I need only the values to be written.

My code can be seen as follows:

import numpy as np

lowercase_letters = 'abcdefghijklmnopqrstuvwxyz'

words_array = np.genfromtxt('words_file.txt', dtype=str).reshape(300, 1)

lowercase_words = np.array([word[0].lower() for word in words_array])
words_array = np.append(words_array, lowercase_words.reshape(300, 1), axis=1)

def letter_frequency(word):
  letter_frequency = {}
for letter in lowercase_letters:
  letter_frequency[letter] = 0
for letter in word:
  letter_frequency[letter] += 1
return letter_frequency

vectorized_frequencies = np.vectorize(letter_frequency)
frequencies = vectorized_frequencies(lowercase_words)
words_array = np.append(words_array, frequencies.reshape(300, 1), axis=1)

word_length = np.vectorize(len)
word_lengths = word_length(words_array[:, :1])
words_array = np.append(words_array, word_lengths.reshape(300, 1), axis=1)

np.savetxt('rocko_bishop_project2.csv', words_array, delimiter=',', fmt='%s',
       header="original, lower, a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,x,y,z,length")

After writing the finalized array to the csv file (also required, I can't export as a different file type), it prints the full dictionary, with keys and values:

Abject,abject,{'a': 1, 'b': 1, 'c': 1, 'd': 0, 'e': 1, 'f': 0, 'g': 0, 'h': 0, 'i': 0, 'j': 1, 'k': 0, 'l': 0, 'm': 0, 'n': 0, 'o': 0, 'p': 0, 'q': 0, 'r': 0, 's': 0, 't': 1, 'u': 0, 'v': 0, 'w': 0, 'x': 0, 'y': 0, 'z': 0},6

However, I would like to to just have the values printed instead.

Abject,abject,1,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0

The parameters of the project prevent me from importing pandas , or any other library other than numpy .

What is the best course of action?

Answer 1

Assume, for lack of further information, that your array is really a list like:

In [338]: alist = ['Abjure','abjure',{'a': 1, 'b': 1, 'c': 0, 'd': 0, 'e': 1, 'f
     ...: ': 0, 'g': 0, 'h': 0, 'i': 0, 'j': 1, 'k': 0, 'l': 0, 'm': 0, 'n': 0, 
     ...: 'o': 0, 'p': 0, 'q': 0, 'r': 1, 's': 0, 't': 0, 'u': 1, 'v': 0, 'w': 0
     ...: , 'x': 0, 'y': 0, 'z': 0}]   

If it isn't a list, it must be a object dtype array, in which case arr.tolist() should produce the same list.

As first try, just print (with possible redirect to file), the elements:

In [341]: print(alist[:2], list(alist[2].values()))                             
['Abjure', 'abjure'] [1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0]

Here I use values() to get the dictionary values.

Now we can clean up the print (or file write). This is plain Python. No need to invoke numpy or any other package.

Expanding the sub lists:

In [343]: print(*alist[:2], *list(alist[2].values()))                           
Abjure abjure 1 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0