Have a case of quite huge numbers in python pandas, so the dataframe looks like this:
trades
4.536115e+07
3.889124e+07
2.757327e+07
How can these numbers be transformed into "normal" values from exponential in pandas?
Thanks!
You could change the pandas options as such:
>>> data = np.array([4.536115e+07, 3.889124e+07, 2.757327e+07])
>>> pd.set_option('display.float_format', lambda x: '%.f' % x)
>>> pd.DataFrame(data, columns=['trades'])
trades
0 45361150
1 38891240
2 27573270