python equivalent of R table

Question

I have a list

[[12, 6], [12, 0], [0, 6], [12, 0], [12, 0], [6, 0], [12, 6], [0, 6], [12, 0], [0, 6], [0, 6], [12, 0], [0, 6], [6, 0], [6, 0], [12, 0], [6, 0], [         


        

Answer 1

IMHO, pandas offers a better solution for this "tabulation" problem:

One dimension:

my_tab = pd.crosstab(index = df["feature_you_r_interested_in"],
                              columns="count")

Proportion count:

my_tab/my_tab.sum()

Two-dimensions (with totals):

cross = pd.crosstab(index=df["feat1"], 
                             columns=df["feat2"],
                             margins=True)

cross

Also, as mentioned by other coleagues, pandas value_counts method could be all you need. It is so good that you can have the counts as percentages if you want:

df['your feature'].value_counts(normalize=True)

I'm very grateful for this blog:

http://hamelg.blogspot.com.br/2015/11/python-for-data-analysis-part-19_17.html