What I tried:
column1
33
33
62
59
df.column1.unique().value_counts()
>> 33 2
62 1
59 1
It gives the information, but if I have say 3000 unique values within that column then it's very tedious to find the value I'm looking for. How would I go about finding, say the amount of 33's in column1 if column1 was huge?
