Unable to run array using numpy module

[vitalstrike82]

I'm starting to learn python. I have install Anaconda package which includes Juypter.

I'm running Jupyter Notebook for python without turning on the Anaconda navigator (Not sure if this impact the compilation of codes). I tried to Create a 3 x 6-dimensional array, containing only float values, but encounter some errors.

In fact, I cannot comprehend what is the error about and would want some advises.

Thanks

import numpy

array2 = numpy.array([[1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.1, 2.1, 3.1, 4.1, 5.1, 6.1], [1.2, 2.2, 3.2, 4.2, 5.2, 6.2]])

array2

Error:
AttributeError                            Traceback (most recent call last)
~\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
    700                 type_pprinters=self.type_printers,
    701                 deferred_pprinters=self.deferred_printers)
--> 702             printer.pretty(obj)
    703             printer.flush()
    704             return stream.getvalue()

~\Anaconda3\lib\site-packages\IPython\lib\pretty.py in pretty(self, obj)
    400                         if cls is not object \
    401                                 and callable(cls.__dict__.get('__repr__')):
--> 402                             return _repr_pprint(obj, self, cycle)
    403 
    404             return _default_pprint(obj, self, cycle)

~\Anaconda3\lib\site-packages\IPython\lib\pretty.py in _repr_pprint(obj, p, cycle)
    695     """A pprint that just redirects to the normal repr function."""
    696     # Find newlines and replace them with p.break_()
--> 697     output = repr(obj)
    698     for idx,output_line in enumerate(output.splitlines()):
    699         if idx:

~\Anaconda3\lib\site-packages\numpy\core\arrayprint.py in array_repr(arr, max_line_width, precision, suppress_small)
   1429     elif arr.size > 0 or arr.shape == (0,):
   1430         lst = array2string(arr, max_line_width, precision, suppress_small,
-> 1431                            ', ', prefix, suffix=suffix)
   1432     else:  # show zero-length shape unless it is (0,)
   1433         lst = "[], shape=%s" % (repr(arr.shape),)

~\Anaconda3\lib\site-packages\numpy\core\arrayprint.py in array2string(a, max_line_width, precision, suppress_small, separator, prefix, style, formatter, threshold, edgeitems, sign, floatmode, suffix, **kwarg)
    666         return "[]"
    667 
--> 668     return _array2string(a, options, separator, prefix)
    669 
    670 

~\Anaconda3\lib\site-packages\numpy\core\arrayprint.py in wrapper(self, *args, **kwargs)
    458             repr_running.add(key)
    459             try:
--> 460                 return f(self, *args, **kwargs)
    461             finally:
    462                 repr_running.discard(key)

~\Anaconda3\lib\site-packages\numpy\core\arrayprint.py in _array2string(a, options, separator, prefix)
    484 
    485     # find the right formatting function for the array
--> 486     format_function = _get_format_function(data, **options)
    487 
    488     # skip over "["

~\Anaconda3\lib\site-packages\numpy\core\arrayprint.py in _get_format_function(data, **options)
    417             return formatdict['longfloat']()
    418         else:
--> 419             return formatdict['float']()
    420     elif issubclass(dtypeobj, _nt.complexfloating):
    421         if issubclass(dtypeobj, _nt.clongfloat):

~\Anaconda3\lib\site-packages\numpy\core\arrayprint.py in <lambda>()
    356         'int': lambda: IntegerFormat(data),
    357         'float': lambda:
--> 358             FloatingFormat(data, prec, fmode, supp, sign, legacy=legacy),
    359         'longfloat': lambda:
    360             FloatingFormat(data, prec, fmode, supp, sign, legacy=legacy),

~\Anaconda3\lib\site-packages\numpy\core\arrayprint.py in __init__(self, data, precision, floatmode, suppress_small, sign, **kwarg)
    835         self.large_exponent = False
    836 
--> 837         self.fillFormat(data)
    838 
    839     def fillFormat(self, data):

~\Anaconda3\lib\site-packages\numpy\core\arrayprint.py in fillFormat(self, data)
    844         abs_non_zero = absolute(finite_vals[finite_vals != 0])
    845         if len(abs_non_zero) != 0:
--> 846             max_val = np.max(abs_non_zero)
    847             min_val = np.min(abs_non_zero)
    848             with errstate(over='ignore'):  # division can overflow

AttributeError: module 'numpy' has no attribute 'max'

[micseydel]

I just tried

import numpy
numpy.array([[1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.1, 2.1, 3.1, 4.1, 5.1, 6.1], [1.2, 2.2, 3.2, 4.2, 5.2, 6.2]])

in Python 2.7 and 3.2 and couldn't reproduce your issue. What versions of the tools are you running? Can you reproduce this outside of Jupyter?

[perfringo]

I tried in Jupyter Lab and got output:

Output:
array([[1. , 2. , 3. , 4. , 5. , 6. ],
       [1.1, 2.1, 3.1, 4.1, 5.1, 6.1],
       [1.2, 2.2, 3.2, 4.2, 5.2, 6.2]])