df = pd.DataFrame(np.random.randn(10).reshape(5,2), index =['a','b','c','d','e'], columns = ['one', 'two'])
convert_decimal = lambda x: '{:.1f}'.format(x)
df = df.applymap(convert_decimal)
df
Error: TypeError Traceback (most recent call last) in ----> 1 abs(df)
~\Anaconda3\lib\site-packages\pandas\core\generic.py in abs (self) 1498 1499 def abs (self): -> 1500 return self.abs() 1501 1502 def round (self, decimals=0):
~\Anaconda3\lib\site-packages\pandas\core\generic.py in abs(self)
9480 3 7 40 -50 9481 """ -> 9482 return np.abs(self) 9483 9484 def describe(self, percentiles=None, include=None, exclude=None):TypeError: bad operand type for abs(): 'str'
It looks like you could just cast the lambda computation as a float.
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