By default the numerical values in data frame are stored up to 6 decimals only. How do I get the full precision.
For example
34.98774564765 is stored as 34.987746. I do want the full value.
and 0.00000565 is stored as 0.
Apart from applying formats to each data frame is there any global setting that helps preserving the precision.
No, 34.98774564765 is merely being printed by default with six decimal places:
>>> pandas.DataFrame([34.98774564765])
0
0 34.987746
The data itself has more precision:
>>> pandas.DataFrame([34.98774564765])[0].data[0]
34.98774564765
You can change the default used for printing frames by altering pandas.options.display.precision.
For example:
>>> pandas.set_option("display.precision", 8)
>>> pandas.DataFrame([34.98774564765])
0
0 34.98774564765
display.precision option from the other answer if you need uniform outputs
astype is also affected, so that column.astype(str)[0] will be truncatedc.astype(np.float64).astype(str), otherwise a direct conversion from float32 to string seems to do a kind of "display" conversion and truncates the number
float32 then it will only have around 7 significant digits of precision. Upcasting it to float64 won’t have added any real information at allYou can also use the 'display.float_format' option
with pd.option_context('display.float_format', '{:0.20f}'.format):
print(pd.DataFrame([34.98774564765]))
0
0 34.98774564765000150146
Your data is stored with the precision, corresponding to your dtype (np.float16, np.float32, np.float64).
pd.options.display.precision - allows you to change the precision for printing the data
