How can I get the most frequent item in a pandas series?
Consider the series s
s = pd.Series(\"1 5 3 3 3 5 2 1 8 10 2 3 3 3
Use value_counts and select first value by index:
val = s.value_counts().index[0]
Or Counter.most_common:
from collections import Counter
val = Counter(s).most_common(1)[0][0]
Or numpy solution:
_, idx, counts = np.unique(s, return_index=True, return_counts=True)
index = idx[np.argmax(counts)]
val = s[index]