Ignore "NA" as missing value (Python)?

I have an excel file with GEO column:

GEO
-------
EMEA
NA
LA
ASAP
EMEA
NA
NA

But when I read it in python:

df.read_excel(path + '\\' + file)

It reads "NA" as missing:

GEO
-------
EMEA

LA
ASAP
EMEA

I know how to tell python to consider something else as missing value, but I haven’t found how to tell to ignore "NA"

>Solution :

Use na_values and keep_default_na according to the documentation of read_excel:

# This list was built from the default na_values, minus NA
NA_VALUES = ['', '#N/A', '#N/A N/A', '#NA', '-1.#IND', '-1.#QNAN', '-NaN', '-nan',
             '1.#IND', '1.#QNAN', '<NA>', 'N/A', 'NULL', 'NaN', 'n/a', 'nan', 'null']

df = pd.read_excelpath + '\\' + file, na_values=NA_VALUES, keep_default_na=False)

Output:

>>> df
    GEO
0  EMEA
1    NA
2    LA
3  ASAP
4  EMEA
5    NA
6    NA