value_counts() shows counts from another pandas data frame

Question

I'm brand new with python and I'm playing around with data related to cars. I've copied and reset index for new df

stelvio=pd.DataFrame(cars).copy()
stelvio.drop(stelvio[stelvio["model"]!="Stelvio"].index, inplace=True)
stelvio.reset_index(drop=True, inplace=True)

and wanted to check color count so I've run:

stelvio.color.value_counts()

Red           42
Grey          36
Black         36
White         30
Blue          21
Other          8
Green          5
Silver         3
Brown          3
Yellow         0
Gold           0
Purple         0

and

stelvio.info()

gives

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 184 entries, 0 to 183

There are now yellow or gold color cars in stelvio df, so why I see them on value_counts() result for new df?

Answer 1

Seems like this comes from the fact that your data is seen as 'categorical' instead of strings - Why does pandas value_counts() show a count of zero for some values? - explained here.

If that is the case, then you can do

stelvio.color.astype(str).value_counts()

and your '0 rows' should be gone