frequency
How to find most common elements of a list? [duplicate]
In Python 2.7 and above there is a class called Counter which can help you: from collections import Counter words_to_count = (word for word in word_list if word[:1].isupper()) c = Counter(words_to_count) print c.most_common(3) Result: [(‘Jellicle’, 6), (‘Cats’, 5), (‘And’, 2)] I am quite new to programming so please try and do it in the most … Read more
How to get the number of the most frequent value in a column?
It looks like you may have some nulls in the column. You can drop them with df = df.dropna(subset=[‘item’]). Then df[‘item’].value_counts().max() should give you the max counts, and df[‘item’].value_counts().idxmax() should give you the most frequent value.
Item frequency count in Python
The Counter class in the collections module is purpose built to solve this type of problem: from collections import Counter words = “apple banana apple strawberry banana lemon” Counter(words.split()) # Counter({‘apple’: 2, ‘banana’: 2, ‘strawberry’: 1, ‘lemon’: 1})
Count frequency of words in a list and sort by frequency
use this from collections import Counter list1=[‘apple’,’egg’,’apple’,’banana’,’egg’,’apple’] counts = Counter(list1) print(counts) # Counter({‘apple’: 3, ‘egg’: 2, ‘banana’: 1})
python equivalent of R table
Pandas has a built-in function called value_counts(). Example: if your DataFrame has a column with values as 0’s and 1’s, and you want to count the total frequencies for each of them, then simply use this: df.colName.value_counts()
Frequency table for a single variable
Maybe .value_counts()? >>> import pandas >>> my_series = pandas.Series([1,2,2,3,3,3, “fred”, 1.8, 1.8]) >>> my_series 0 1 1 2 2 2 3 3 4 3 5 3 6 fred 7 1.8 8 1.8 >>> counts = my_series.value_counts() >>> counts 3 3 2 2 1.8 2 fred 1 1 1 >>> len(counts) 5 >>> sum(counts) 9 >>> … Read more
Getting the count of unique values in a column in bash
To see a frequency count for column two (for example): awk -F ‘\t’ ‘{print $2}’ * | sort | uniq -c | sort -nr fileA.txt z z a a b c w d e fileB.txt t r e z d a a g c fileC.txt z r a v d c a m c Result: … Read more
What values are valid in Pandas ‘Freq’ tags?
You can find it called Offset Aliases: A number of string aliases are given to useful common time series frequencies. We will refer to these aliases as offset aliases. Alias Description B business day frequency C custom business day frequency D calendar day frequency W weekly frequency M month end frequency SM semi-month end frequency … Read more