Decimal class rounding in Pandas

Question

i have problems rounding Decimals() inside a Pandas Dataframe. The round() method does not work and using quantize() neither. I\'ve search

Answer 1

Since pandas has no quantize method i used the following to solve the problem:

out.applymap(lambda x: x.quantize(dc.Decimal('1.00')))

Answer 2

To round your decimal to 2 significant figures for example:

round(df['yourSeries'].astype('float'), 2)

Or if you just want an int:

round(df['yourSeries'].astype('float'))

Answer 3

Expanding a bit on the answer by @Juanito

With my data I got an InvalidOperation: [<class 'decimal.InvalidOperation'>]

This seems to be because my input data has more than the default precision of 28:

gdf_temp['latitude'][0]

Decimal('44.5001088968049742788934963755309581756591796875')

This worked:

getcontext().prec = 64

gdf_temp['longitude'] = gdf_temp['longitude'].apply(Decimal)
gdf_temp['latitude'] = gdf_temp['latitude'].apply(Decimal)

gdf_temp['longitude'] = gdf_temp['longitude'].apply((lambda x: x.quantize(Decimal('1.00000'))))
gdf_temp['latitude'] = gdf_temp['latitude'].apply((lambda x: x.quantize(Decimal('1.00000'))))

gdf_temp['latitude'][0]

Decimal('44.50011')