Find most frequent value in an np.array gives back "TypeError: cannot cast array data from dtyp-CodePudding

In my project I'm creating an np.array like this:

values_array = np.array(0.00, dtype=np.float32)

After that I append more value in it during a while loop:

values_array = np.append(values_array, round(value, 2))

And this is how my final array's output looks like:

[0. 0.41 0.41 0.42 0.41 0.43]

But when I try to find the most frequent value in the array like this:

top_value = np.argmax(np.bincount(values_array))

I get this error:


TypeError: cannot cast array data from dtype('float64) to dtype('int64') according to safe rule

How can I avoid it?

CodePudding user response：

This is called mode doc. You can do this in different ways, one using the module scipy and the other using statistics.

from scipy import stats as st
st.mode(values_array)

import statistics as st
print(st.mode(values_array))