Why I am getting IndexError: tuple index out of range when converting a float value to a string?
Terry Reedy
tjreedy at udel.edu
Tue Jun 11 16:11:55 EDT 2019
On 6/11/2019 1:04 PM, Rob Gaddi wrote:
> On 6/11/19 9:52 AM, madhavanbomidi at gmail.com wrote:
>> I wrote the following lines of code:
>>
>> xm = np.nanmean(x[indx],axis=None,dtype=float)
>> xsd = np.nanstd(x[indx],axis=None,dtype=float)
>>
>> type(xm) # np.float64
>> type(xsd # np.float64
>>
>> print(xm) # 0.5414720812182742
>> print(xsd) # 0.15748041033663002
>>
>> print(str("{6.5f}".format(xm)))
>>
>> I get the following error:
>>
>> IndexError: tuple index out of range
>>
>> Can someone suggest me why I am getting this error and how to overcome
>> this?
Show us the full traceback after expanding and reducing the example to
the minimum needed to exhibit the problem.
> print(str("{:6.5f}".format(xm)))
>
> You want to apply the format 6.5f to the autoindexed element.
Which works fine as it is.
>>> xm = 3.0
>>> print(str("{:6.5f}".format(xm)))
3.00000
> You could also explicitly index the 1st element (#0) as {0:6.5f}.
He could, but it makes no difference for the print statement above.
Applying str to an str is redundant, as it applying it to a print argument.
>>> print("{0:6.5f}".format(xm))
3.00000
--
Terry Jan Reedy
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