# How to turn character cells into double in MATLAB?

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Armando MAROZZI el 14 de Feb. de 2021
Editada: Stephen23 el 14 de Feb. de 2021
I have the following cell array:
blocks
%100×1 cell array
% {'mpta'}
% {'mpta'}
% {'mpta'}
%{'p' }
%{'s0' }
%{'s' }
%...
I am trying to turn it into double so that I can perform horzcat operations with double objects. Yet, whenever I try to use str2double I get NaNs. Nothing of what I found online works in my case. Can anyone help me with this?
Thanks!
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Walter Roberson el 14 de Feb. de 2021
What numeric values would you like 'mpta' and 's0' to be converted into?
Armando MAROZZI el 14 de Feb. de 2021
I would like them to remain as they are, but in a format that allows me to use horzcat

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### Respuestas (1)

Walter Roberson el 14 de Feb. de 2021
blocks_numeric = double(char(blocks));
You can now horzcat() blocks_numeric and numeric data. The entries will appear as things like
109 112 116 97
112 32 32 32
115 48 32 32
The number of columns will be the same as the maximum length of character vector in blocks, which is 4 in this case.
You can later turn back into text by using
cellstr(char(TheNumericBlock(:,1:4)))
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Walter Roberson el 14 de Feb. de 2021
Python dataframes do not convert the text to numeric form in able to do the equivalent of horzat() them !!
MATLAB has tables, but in tables the text is not horzcat() with the numeric data.
B = {'mpta'; 'p'; 's0'}
B = 3x1 cell array
{'mpta'} {'p' } {'s0' }
v = randi(9, 3, 4)
v = 3×4
8 9 3 2 7 8 1 8 5 1 1 8
table(B, v)
ans = 3x2 table
B v ________ ________________ {'mpta'} 8 9 3 2 {'p' } 7 8 1 8 {'s0' } 5 1 1 8
Bc = categorical(B);
table(Bc, v)
ans = 3x2 table
Bc v ____ ________________ mpta 8 9 3 2 p 7 8 1 8 s0 5 1 1 8
Stephen23 el 14 de Feb. de 2021
Editada: Stephen23 el 14 de Feb. de 2021
"You can easily do it in R or Python, creating dataframes with characters and numbers in different columns."
Not at all, you are comparing apples with oranges.
R's dataframes are more like MATLAB's tables, they are nothing like a contiguous array of numeric data.
Native Python does not have contiguous arrays of numeric data, for that you need numpy or some similar module.

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