On 6/11/2019 1:04 PM, Rob Gaddi wrote:
On 6/11/19 9:52 AM, madhavanbom...@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
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Terry Jan Reedy
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