this should be a very simple issue but I'm having a tougher time than expected on it. I want to have my floats be turned into strings but only to the 2nd decimal place. what I have works except with a few values that decide to extend more than 2 decimal points . Below is what im currently trying:
for i in range(len(self.monthlyData)):
t = self.monthlyData[i] * 100
'{0:.2}'.format(t)
t = str(t) + " %"
self.monthlyData[i] = t
I would want my values to be the decimals followed by the % sign. so I would want it to look like this "19.58 %" and like I said it works with most values but some values like 29.080000000000002 and stay like that.
The way I would do the task:
for i in range(len(self.monthlyData)):
t = '{0:.2%}'.format(self.monthlyData[i])
self.monthlyData[i] = t
But seriously, you do not have to loop through a pandas
column to revise the values. A nicer approach would be the apply
method with lambda
:
self.monthlyData.apply(lambda x: '{0:.2%}'.format(x))
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