Anaconda 4.3 pandas amount

Question

Anaconda 4.3 pandas amount

I recently installed anaconda 4.3, and when I try to make a sum using df ["x"]. sum () or np.sum (df ["x"]) with pandas frame read from excel, I get the wrong answer. I also get the wrong answer when trying to use np.sum (x) or x.sum () in a random row, but when I np.sum (x) is a random numpy array, it gets the correct answer. This only happens after installing a new version of anaconda and databases with more than 50,000 rows. My current setup is anaconda 4.3, pandas 0.19.2, numpy 1.11.3

Invalid pandas amount:

import numpy as np
import pandas as pd


a = np.random.randint(35000, high = 80000, size = 100000, dtype = np.int64) 
b = np.random.randint(1, high = 100, size = 100000)
c = np.sum(a)

d = pd.DataFrame({"a": a, "b": b})

e = d["a"].sum()

f = np.sum(d["a"])

print(c,e,f)

5752269581 1457302285 1457302285

Invalid data amount:

import numpy as np
import pandas as pd

w = pd.read_excel("C:\\Users\\asistentecrm\\Downloads\\Prueba2.xlsx")

x = w["Vlr. Neto"].sum()

y = w["Vlr. Neto"].values

z = np.sum(y)

print (x, z)