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.
Thanks
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.
To find duplicates on a specific column, we can simply call duplicated() method on the column. The result is a boolean Series with the value True denoting duplicate.
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
You 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
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With