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Python numpy 模块-array2string() 实例源码（python numpy.array）

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在本文中，我们将为您详细介绍Pythonnumpy模块-array2string()实例源码的相关知识，并且为您解答关于pythonnumpy.array的疑问，此外，我们还会提供一些关于Jupyte

在本文中，我们将为您详细介绍Python numpy 模块-array2string() 实例源码的相关知识，并且为您解答关于python numpy.array的疑问，此外，我们还会提供一些关于Jupyter 中的 Numpy 在打印时出错（Python 版本 3.8.8）：TypeError: 'numpy.ndarray' object is not callable、List2String 与 Array2String、numpy.random.random & numpy.ndarray.astype & numpy.arange、numpy.ravel()/numpy.flatten()/numpy.squeeze()的有用信息。

本文目录一览：

Python numpy 模块-array2string() 实例源码（python numpy.array）

Python numpy 模块-array2string() 实例源码（python numpy.array）

Python numpy 模块，array2string() 实例源码

我们从Python开源项目中，提取了以下50个代码示例，用于说明如何使用numpy.array2string()。

项目：pyhiro    作者：wanweiwei07    | 项目源码 | 文件源码 
  1. def export_collada(mesh):
  2.     ''''''
  3.     Export a mesh as a COLLADA file.
  4.     ''''''
  5.     from ..templates import get_template
  6.     from string import Template
  7.  
  8.     template_string = get_template(''collada.dae.template'')
  9.     template = Template(template_string)
  10.  
  11.     # we bother setting this because np.array2string uses these printoptions 
  12.     np.set_printoptions(threshold=np.inf, precision=5, linewidth=np.inf)
  13.     replacement = dict()
  14.     replacement[''VERTEX'']   = np.array2string(mesh.vertices.reshape(-1))[1:-1]
  15.     replacement[''FACES'']    = np.array2string(mesh.faces.reshape(-1))[1:-1]
  16.     replacement[''norMALS'']  = np.array2string(mesh.vertex_normals.reshape(-1))[1:-1]
  17.     replacement[''VCOUNT'']   = str(len(mesh.vertices))
  18.     replacement[''VCOUNTX3''] = str(len(mesh.vertices) * 3)
  19.     replacement[''FCOUNT'']   = str(len(mesh.faces))
  20.  
  21.     export = template.substitute(replacement)
  22.     return export
项目：Theano-Deep-learning    作者：GeekLiB    | 项目源码 | 文件源码 
  1. def var_label(var, precision=3):
  2.     """Return label of variable node."""
  3.     if var.name is not None:
  4.         return var.name
  5.     elif isinstance(var, gof.Constant):
  6.         h = np.asarray(var.data)
  7.         is_const = False
  8.         if h.ndim == 0:
  9.             is_const = True
  10.             h = np.array([h])
  11.         dstr = np.array2string(h, precision=precision)
  12.         if ''\\n'' in dstr:
  13.             dstr = dstr[:dstr.index(''\\n'')]
  14.         if is_const:
  15.             dstr = dstr.replace(''['', '''').replace('']'', '''')
  16.         return dstr
  17.     else:
  18.         return type_to_str(var.type)
项目：fold    作者：tensorflow    | 项目源码 | 文件源码 
  1. def _format_items(items):
  2.   formatter = lambda x: ''%.3e'' % x
  3.   last_large_output = None
  4.   for key, value in items:
  5.     value = np.asarray(value)
  6.     large_output = value.ndim >= 1
  7.     # If there was a prevIoUs output,print a separator.
  8.     if last_large_output is not None:
  9.       yield ''\\n'' if large_output or last_large_output else '' ''
  10.     format_string = ''%s:\\n%s'' if large_output else ''%s: %s''
  11.     yield format_string % (key,
  12.                            np.array2string(value, style=formatter,
  13.                                            formatter={''float_kind'': formatter}))
  14.     last_large_output = large_output
项目：fold    作者：tensorflow    | 项目源码 | 文件源码 
  1. def _format_items(items):
  2.   formatter = lambda x: ''%.3e'' % x
  3.   last_large_output = None
  4.   for key,
  5.                                            formatter={''float_kind'': formatter}))
  6.     last_large_output = large_output
项目：radar    作者：amoose136    | 项目源码 | 文件源码 
  1. def test_basic(self):
  2.         """Basic test of array2string."""
  3.         a = np.arange(3)
  4.         assert_(np.array2string(a) == ''[0 1 2]'')
  5.         assert_(np.array2string(a, max_line_width=4) == ''[0 1\\n 2]'')
项目：radar    作者：amoose136    | 项目源码 | 文件源码 
  1. def test_style_keyword(self):
  2.         """This should only apply to 0-D arrays. See #1218."""
  3.         stylestr = np.array2string(np.array(1.5),
  4.                                    style=lambda x: "Value in 0-D array: " + str(x))
  5.         assert_(stylestr == ''Value in 0-D array: 1.5'')
项目：radar    作者：amoose136    | 项目源码 | 文件源码 
  1. def test_format_function(self):
  2.         """Test custom format function for each element in array."""
  3.         def _format_function(x):
  4.             if np.abs(x) < 1:
  5.                 return ''.''
  6.             elif np.abs(x) < 2:
  7.                 return ''o''
  8.             else:
  9.                 return ''O''
  10.  
  11.         x = np.arange(3)
  12.         if sys.version_info[0] >= 3:
  13.             x_hex = "[0x0 0x1 0x2]"
  14.             x_oct = "[0o0 0o1 0o2]"
  15.         else:
  16.             x_hex = "[0x0L 0x1L 0x2L]"
  17.             x_oct = "[0L 01L 02L]"
  18.         assert_(np.array2string(x, formatter={''all'':_format_function}) ==
  19.                 "[. o O]")
  20.         assert_(np.array2string(x, formatter={''int_kind'':_format_function}) ==
  21.                 "[. o O]")
  22.         assert_(np.array2string(x, formatter={''all'':lambda x: "%.4f" % x}) ==
  23.                 "[0.0000 1.0000 2.0000]")
  24.         assert_equal(np.array2string(x, formatter={''int'':lambda x: hex(x)}),
  25.                 x_hex)
  26.         assert_equal(np.array2string(x, formatter={''int'':lambda x: oct(x)}),
  27.                 x_oct)
  28.  
  29.         x = np.arange(3.)
  30.         assert_(np.array2string(x, formatter={''float_kind'':lambda x: "%.2f" % x}) ==
  31.                 "[0.00 1.00 2.00]")
  32.         assert_(np.array2string(x, formatter={''float'':lambda x: "%.2f" % x}) ==
  33.                 "[0.00 1.00 2.00]")
  34.  
  35.         s = np.array([''abc'', ''def''])
  36.         assert_(np.array2string(s, formatter={''numpystr'':lambda s: s*2}) ==
  37.                 ''[abcabc defdef]'')
项目：radar    作者：amoose136    | 项目源码 | 文件源码 
  1. def test_datetime_array_str(self):
  2.         a = np.array([''2011-03-16'', ''1920-01-01'', ''2013-05-19''], dtype=''M'')
  3.         assert_equal(str(a), "[''2011-03-16'' ''1920-01-01'' ''2013-05-19'']")
  4.  
  5.         a = np.array([''2011-03-16T13:55'', ''1920-01-01T03:12''], dtype=''M'')
  6.         assert_equal(np.array2string(a, separator='','',
  7.                     formatter={''datetime'': lambda x:
  8.                             "''%s''" % np.datetime_as_string(x, timezone=''UTC'')}),
  9.                      "[''2011-03-16T13:55Z'',''1920-01-01T03:12Z'']")
  10.  
  11.         # Check that one NaT doesn''t corrupt subsequent entries
  12.         a = np.array([''2010'', ''NaT'', ''2030'']).astype(''M'')
  13.         assert_equal(str(a), "[''2010'' ''NaT'' ''2030'']")
项目：musm-adt17    作者：stefanoteso    | 项目源码 | 文件源码 
  1. def arr2str(a):
  2.     return np.array2string(a, max_line_width=np.inf,
  3.         precision=None, suppress_small=None).replace(''\\n'', '''')
项目：ExoSOFT    作者：kylemede    | 项目源码 | 文件源码 
  1. def periodicDataDump(filename,d):
  2.     """
  3.     dump a ndarray to disk.  If first time,just dump it.
  4.     Else,load current ary and cat d to it before dumping.
  5.     """
  6.     old=True
  7.     if len(d)!=0:
  8.         if os.path.exists(filename):
  9.             if old:
  10.                 d0 = np.load(filename)
  11.                 np.save(filename,np.concatenate((d0,d)))
  12.             else:
  13.                 with open(filename,''a'') as outfile:
  14.                     for i in range(0,d.shape[0]):
  15.                         outstr = ''''
  16.                         for val in d[i]:
  17.                             outstr+=''%.14g  '' % (val)
  18.                         outstr += ''\\n''
  19.                         outfile.write(outstr)#nparyTolistStr(d[i],brackets=False,dmtr='' '')+''\\n'')
  20.                         #outfile.write(re.sub("\\n ","\\n",re.sub("[\\\\[\\\\]]","",np.array2string(d,precision=16))))
  21.         else:
  22.             if old:
  23.                 np.save(filename,d)
  24.             else:
  25.                 with open(filename,''w'') as outfile:
  26.                     for i in range(0,dmtr='' ''))
  27.                         #outfile.write(re.sub("\\n ",np.array2string(d))))
  28.                         #print nparyTolistStr(d[i],dmtr='' '')
  29.                     #raise IOError(''\\n\\n''+s)
项目：krpcScripts    作者：jwvanderbeck    | 项目源码 | 文件源码 
  1. def test_basic(self):
  2.         """Basic test of array2string."""
  3.         a = np.arange(3)
  4.         assert_(np.array2string(a) == ''[0 1 2]'')
  5.         assert_(np.array2string(a, max_line_width=4) == ''[0 1\\n 2]'')
项目：krpcScripts    作者：jwvanderbeck    | 项目源码 | 文件源码 
  1. def test_style_keyword(self):
  2.         """This should only apply to 0-D arrays. See #1218."""
  3.         stylestr = np.array2string(np.array(1.5),
  4.                                    style=lambda x: "Value in 0-D array: " + str(x))
  5.         assert_(stylestr == ''Value in 0-D array: 1.5'')
项目：krpcScripts    作者：jwvanderbeck    | 项目源码 | 文件源码 
  1. def test_format_function(self):
  2.         """Test custom format function for each element in array."""
  3.         def _format_function(x):
  4.             if np.abs(x) < 1:
  5.                 return ''.''
  6.             elif np.abs(x) < 2:
  7.                 return ''o''
  8.             else:
  9.                 return ''O''
  10.  
  11.         x = np.arange(3)
  12.         if sys.version_info[0] >= 3:
  13.             x_hex = "[0x0 0x1 0x2]"
  14.             x_oct = "[0o0 0o1 0o2]"
  15.         else:
  16.             x_hex = "[0x0L 0x1L 0x2L]"
  17.             x_oct = "[0L 01L 02L]"
  18.         assert_(np.array2string(x, formatter={''numpystr'':lambda s: s*2}) ==
  19.                 ''[abcabc defdef]'')
项目：krpcScripts    作者：jwvanderbeck    | 项目源码 | 文件源码 
  1. def test_datetime_array_str(self):
  2.         a = np.array([''2011-03-16'', "[''2010'' ''NaT'' ''2030'']")
项目：robopy    作者：adityadua24    | 项目源码 | 文件源码 
  1. def __repr__(self):
  2.         if len(self.data) >= 1:
  3.             str = ''-----------------------------------------\\n''
  4.             for each in self._list:
  5.                 array = np.asarray(each)
  6.                 str = str + np.array2string(array) \\
  7.                       + ''\\n-----------------------------------------\\n''
  8.             return str.rstrip("\\n")  # Remove trailing newline character
  9.         else:
  10.             return ''No matrix found''
项目：robopy    作者：adityadua24    | 项目源码 | 文件源码 
  1. def matrix_mismatch_string_builder(rec_mat, exp_mat):
  2.     expected_mat_str = np.array2string(np.asarray(exp_mat))
  3.     received_mat_str = np.array2string(np.asarray(rec_mat))
  4.     output_str = str("\\n----------------------\\n"
  5.                      + "    Expected Output    "
  6.                      + "\\n----------------------\\n"
  7.                      + expected_mat_str
  8.                      + "\\n----------------------\\n"
  9.                      + "    Received Output    "
  10.                      + "\\n----------------------\\n"
  11.                      + received_mat_str)
  12.     return output_str
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者：SignalMedia    | 项目源码 | 文件源码 
  1. def test_basic(self):
  2.         """Basic test of array2string."""
  3.         a = np.arange(3)
  4.         assert_(np.array2string(a) == ''[0 1 2]'')
  5.         assert_(np.array2string(a, max_line_width=4) == ''[0 1\\n 2]'')
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者：SignalMedia    | 项目源码 | 文件源码 
  1. def test_style_keyword(self):
  2.         """This should only apply to 0-D arrays. See #1218."""
  3.         stylestr = np.array2string(np.array(1.5),
  4.                                    style=lambda x: "Value in 0-D array: " + str(x))
  5.         assert_(stylestr == ''Value in 0-D array: 1.5'')
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者：SignalMedia    | 项目源码 | 文件源码 
  1. def test_format_function(self):
  2.         """Test custom format function for each element in array."""
  3.         def _format_function(x):
  4.             if np.abs(x) < 1:
  5.                 return ''.''
  6.             elif np.abs(x) < 2:
  7.                 return ''o''
  8.             else:
  9.                 return ''O''
  10.  
  11.         x = np.arange(3)
  12.         if sys.version_info[0] >= 3:
  13.             x_hex = "[0x0 0x1 0x2]"
  14.             x_oct = "[0o0 0o1 0o2]"
  15.         else:
  16.             x_hex = "[0x0L 0x1L 0x2L]"
  17.             x_oct = "[0L 01L 02L]"
  18.         assert_(np.array2string(x, formatter={''numpystr'':lambda s: s*2}) ==
  19.                 ''[abcabc defdef]'')
项目：PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda    作者：SignalMedia    | 项目源码 | 文件源码 
  1. def test_datetime_array_str(self):
  2.         a = np.array([''2011-03-16'', "[''2011-03-16'' ''1920-01-01'' ''2013-05-19'']")
  3.  
  4.         a = np.array([''2011-03-16T13:55Z'', ''1920-01-01T03:12Z''], "[''2010'' ''NaT'' ''2030'']")
项目：pyMHT    作者：erikliland    | 项目源码 | 文件源码 
  1. def __str__(self):
  2.         formatter = {''float_kind'': lambda x: "{: 7.1f}".format(x) }
  3.         mmsiStr = " MMSI {:} ".format(self.mmsi) if self.mmsi is not None else ""
  4.         predStateStr = ("Pred state:" + np.array2string(self.predicted_state,
  5.                                                      precision=1,
  6.                                                      suppress_small=True,
  7.                                                      formatter=formatter)
  8.                         if self.predicted_state is not None else "")
  9.         return ("State: " + np.array2string(self.state, precision=1, suppress_small=True,formatter=formatter) +
  10.                 " ({0:}|{1:}) ".format(self.m, self.n) +
  11.                 predStateStr +
  12.                 mmsiStr)
项目：pyMHT    作者：erikliland    | 项目源码 | 文件源码 
  1. def __str__(self):
  2.         timeString = self.getTimeString()
  3.         mmsiString = ''MMSI: '' + str(self.mmsi) if self.mmsi is not None else ""
  4.         return (''Time: '' + timeString + " " +
  5.                 ''State:'' + np.array2string(self.state, formatter={''float_kind'': lambda x: ''{: 7.1f}''.format(x)}) + " " +
  6.                 ''High accuracy: {:1} ''.format(self.highAccuracy) +
  7.                 mmsiString)
项目：aws-lambda-numpy    作者：vitolimandibhrata    | 项目源码 | 文件源码 
  1. def test_basic(self):
  2.         """Basic test of array2string."""
  3.         a = np.arange(3)
  4.         assert_(np.array2string(a) == ''[0 1 2]'')
  5.         assert_(np.array2string(a, max_line_width=4) == ''[0 1\\n 2]'')
项目：aws-lambda-numpy    作者：vitolimandibhrata    | 项目源码 | 文件源码 
  1. def test_style_keyword(self):
  2.         """This should only apply to 0-D arrays. See #1218."""
  3.         stylestr = np.array2string(np.array(1.5),
  4.                                    style=lambda x: "Value in 0-D array: " + str(x))
  5.         assert_(stylestr == ''Value in 0-D array: 1.5'')
项目：aws-lambda-numpy    作者：vitolimandibhrata    | 项目源码 | 文件源码 
  1. def test_format_function(self):
  2.         """Test custom format function for each element in array."""
  3.         def _format_function(x):
  4.             if np.abs(x) < 1:
  5.                 return ''.''
  6.             elif np.abs(x) < 2:
  7.                 return ''o''
  8.             else:
  9.                 return ''O''
  10.  
  11.         x = np.arange(3)
  12.         if sys.version_info[0] >= 3:
  13.             x_hex = "[0x0 0x1 0x2]"
  14.             x_oct = "[0o0 0o1 0o2]"
  15.         else:
  16.             x_hex = "[0x0L 0x1L 0x2L]"
  17.             x_oct = "[0L 01L 02L]"
  18.         assert_(np.array2string(x, formatter={''numpystr'':lambda s: s*2}) ==
  19.                 ''[abcabc defdef]'')
项目：aws-lambda-numpy    作者：vitolimandibhrata    | 项目源码 | 文件源码 
  1. def test_datetime_array_str(self):
  2.         a = np.array([''2011-03-16'', "[''2010'' ''NaT'' ''2030'']")
项目：sdaopt    作者：sgubianpm    | 项目源码 | 文件源码 
  1. def main():
  2.     n_particles = 6
  3.     bounds = [(-0.7, 0.7)] * (3 * n_particles)
  4.     np.random.seed(1)
  5.     ret = sda(sutton_chen, None, bounds=bounds)
  6.     # np.set_printoptions(precision=4)
  7.     print(''xmin =\\n{}''.format(np.array2string(ret.x, max_line_width=40)))
  8.     print("global minimum: f(xmin) = {}".format(ret.fun))
项目：CASA_emerlin_pipeline    作者：e-merlin    | 项目源码 | 文件源码 
  1. def check_mixed_mode(vis,mode):
  2.     logger.info(''Check for mixed mode'')
  3.     tb.open(vis + ''/SPECTRAL_WINDOW'')
  4.     bw_spw = np.array(tb.getcol(''TOTAL_BANDWIDTH''))
  5.     tb.close()
  6.     if len(np.unique(bw_spw)) != 1:
  7.         if mode == ''split'':
  8.             logger.info(''Splitting continuum from spectral line'')
  9.             cont_spw = np.where(bw_spw==np.max(np.unique(bw_spw)))[0]
  10.             print np.array2string(cont_spw,'')[1:-1]
  11.             split(vis=vis, outputvis=vis+''.continuum'', spw=np.array2string(cont_spw,'')[1:-1], datacolumn=''data'')
  12.             spec_line = np.delete(bw_spw, cont_spw)
  13.             logger.info(''Splitting spectral line'')
  14.             for i in range(len(np.unique(spec_line))):
  15.                 spec_line_spw = np.where(bw_spw==np.unique(spec_line)[i])[0]
  16.                 split(vis=vis, outputvis=vis+''.sp{0}''.format(i), spw=np.array2string(spec_line_spw,datacolumn=''data'')
  17.                 ms.writehistory(message=''eMER_CASA_Pipeline: Spectral line split from {0}''.format(vis),msname=vis+''.sp{0}''.format(i))
  18.             ms.writehistory(message=''eMER_CASA_Pipeline: Spectral lines split from this ms'',msname=vis)
  19.             os.system(''mv {0} {1}''.format(vis, vis+''.original''))
  20.             os.system(''mv {0} {1}''.format(vis+''.continuum'', vis))
  21.             logger.info(''Will continue with continuum,original data is {0}''.format(vis+''.original''))
  22.             return_variable = ''''
  23.         if mode == ''check'':
  24.             logger.info(''MS is mixed mode. Please split'')
  25.             return_variable = True
  26.     else:
  27.         if mode == ''split'':
  28.             logger.info(''Not mixed mode,continuing'')
  29.             return_variable = ''''
  30.         if mode == ''check'':
  31.             return_variable = False
  32.     return return_variable
项目：lambda-numba    作者：rlhotovy    | 项目源码 | 文件源码 
  1. def test_basic(self):
  2.         """Basic test of array2string."""
  3.         a = np.arange(3)
  4.         assert_(np.array2string(a) == ''[0 1 2]'')
  5.         assert_(np.array2string(a, max_line_width=4) == ''[0 1\\n 2]'')
项目：lambda-numba    作者：rlhotovy    | 项目源码 | 文件源码 
  1. def test_style_keyword(self):
  2.         """This should only apply to 0-D arrays. See #1218."""
  3.         stylestr = np.array2string(np.array(1.5),
  4.                                    style=lambda x: "Value in 0-D array: " + str(x))
  5.         assert_(stylestr == ''Value in 0-D array: 1.5'')
项目：lambda-numba    作者：rlhotovy    | 项目源码 | 文件源码 
  1. def test_format_function(self):
  2.         """Test custom format function for each element in array."""
  3.         def _format_function(x):
  4.             if np.abs(x) < 1:
  5.                 return ''.''
  6.             elif np.abs(x) < 2:
  7.                 return ''o''
  8.             else:
  9.                 return ''O''
  10.  
  11.         x = np.arange(3)
  12.         if sys.version_info[0] >= 3:
  13.             x_hex = "[0x0 0x1 0x2]"
  14.             x_oct = "[0o0 0o1 0o2]"
  15.         else:
  16.             x_hex = "[0x0L 0x1L 0x2L]"
  17.             x_oct = "[0L 01L 02L]"
  18.         assert_(np.array2string(x, formatter={''numpystr'':lambda s: s*2}) ==
  19.                 ''[abcabc defdef]'')
项目：lambda-numba    作者：rlhotovy    | 项目源码 | 文件源码 
  1. def test_datetime_array_str(self):
  2.         a = np.array([''2011-03-16'', "[''2010'' ''NaT'' ''2030'']")
项目：Umog    作者：hsab    | 项目源码 | 文件源码 
  1. def getRefForMatrix(self, matrix):
  2.         matrix_name = np.array2string(matrix)
  3.         if matrix_name in self.tdict:
  4.             return self.tdict[matrix_name]
  5.         oldidx = self.ntindex
  6.         self.ntindex += 1
  7.         # setup the empty texture array
  8.         self.matrices[oldidx] = matrix
  9.         self.tdict[matrix_name] = oldidx
  10.         # Now fill in the values
  11.         return oldidx
项目：deliver    作者：orchestor    | 项目源码 | 文件源码 
  1. def test_basic(self):
  2.         """Basic test of array2string."""
  3.         a = np.arange(3)
  4.         assert_(np.array2string(a) == ''[0 1 2]'')
  5.         assert_(np.array2string(a, max_line_width=4) == ''[0 1\\n 2]'')
项目：deliver    作者：orchestor    | 项目源码 | 文件源码 
  1. def test_style_keyword(self):
  2.         """This should only apply to 0-D arrays. See #1218."""
  3.         stylestr = np.array2string(np.array(1.5),
  4.                                    style=lambda x: "Value in 0-D array: " + str(x))
  5.         assert_(stylestr == ''Value in 0-D array: 1.5'')
项目：deliver    作者：orchestor    | 项目源码 | 文件源码 
  1. def test_format_function(self):
  2.         """Test custom format function for each element in array."""
  3.         def _format_function(x):
  4.             if np.abs(x) < 1:
  5.                 return ''.''
  6.             elif np.abs(x) < 2:
  7.                 return ''o''
  8.             else:
  9.                 return ''O''
  10.  
  11.         x = np.arange(3)
  12.         if sys.version_info[0] >= 3:
  13.             x_hex = "[0x0 0x1 0x2]"
  14.             x_oct = "[0o0 0o1 0o2]"
  15.         else:
  16.             x_hex = "[0x0L 0x1L 0x2L]"
  17.             x_oct = "[0L 01L 02L]"
  18.         assert_(np.array2string(x, formatter={''numpystr'':lambda s: s*2}) ==
  19.                 ''[abcabc defdef]'')
项目：deliver    作者：orchestor    | 项目源码 | 文件源码 
  1. def test_structure_format(self):
  2.         dt = np.dtype([(''name'', np.str_, 16), (''grades'', np.float64, (2,))])
  3.         x = np.array([(''Sarah'', (8.0, 7.0)), (''John'', (6.0, 7.0))], dtype=dt)
  4.         assert_equal(np.array2string(x),
  5.                 "[(''Sarah'',[ 8.,7.]) (''John'',[ 6.,7.])]")
  6.  
  7.         # for issue #5692
  8.         A = np.zeros(shape=10, dtype=[("A", "M8[s]")])
  9.         A[5:].fill(np.nan)
  10.         assert_equal(np.array2string(A),
  11.                 "[(''1970-01-01T00:00:00'',) (''1970-01-01T00:00:00'',) " +
  12.                 "(''1970-01-01T00:00:00'',)\\n (''1970-01-01T00:00:00'',) (''NaT'',)\\n " +
  13.                 "(''NaT'',)]")
  14.  
  15.         # See #8160
  16.         struct_int = np.array([([1, -1],), ([123, 1],)], dtype=[(''B'', ''i4'', 2)])
  17.         assert_equal(np.array2string(struct_int),
  18.                 "[([  1,-1],) ([123,1],)]")
  19.         struct_2dint = np.array([([[0, [2, 3]], ([[12, 0], [0, 0]],
  20.                 dtype=[(''B'', 2))])
  21.         assert_equal(np.array2string(struct_2dint),
  22.                 "[([[ 0,[ 2,3]],) ([[12,0],[ 0,0]],)]")
  23.  
  24.         # See #8172
  25.         array_scalar = np.array(
  26.                 (1., 2.1234567890123456789, 3.), dtype=(''f8,f8,f8''))
  27.         assert_equal(np.array2string(array_scalar), "( 1.,2.12345679,3.)")
项目：deliver    作者：orchestor    | 项目源码 | 文件源码 
  1. def test_datetime_array_str(self):
  2.         a = np.array([''2011-03-16'', "[''2010'' ''NaT'' ''2030'']")
项目：bnpy    作者：bnpy    | 项目源码 | 文件源码 
  1. def np2flatstr(arr, fmt="% .6g"):
  2.     return np.array2string(
  3.         arr,
  4.         prefix='''',
  5.         separator='' '',
  6.         formatter={''float_kind'':lambda x: fmt % x})
  7.     #    return '' ''.join([fmt % (x) for x in np.asarray(X).flatten()])
项目：flopyMetascript    作者：bdestombe    | 项目源码 | 文件源码 
  1. def parse_list_str(ar, compres):
  2.         """
  3.         -1: unable to reduce in size
  4.         1:  broadcastable array
  5.  
  6.         todo:
  7.         for multiline array strings add extra space in line 2,3..
  8.         use array2string-prefix for this
  9.         """
  10.         # max_line_width = 80  # might set this to something different later
  11.         # precision = 8
  12.         # suppress_small = True  # to mask some rounding issues
  13.  
  14.         if compres == -1:
  15.             pre = ''[''
  16.             post = '']''
  17.             ar_str = '',''.join([item.string for item in ar])
  18.             string = pre + ar_str + post
  19.  
  20.         elif compres == 1:
  21.             # l = np.unique(ar).size
  22.             if len(ar) == 1:
  23.                 string = ar[0].string
  24.  
  25.             else:
  26.                 pre = str(len(ar)) + '' * [''
  27.                 post = '']''
  28.                 ar_str = ar[0].string
  29.                 string = pre + ar_str + post
  30.  
  31.         return string
项目：BrickUsingMultipleModules    作者：hackffm    | 项目源码 | 文件源码 
  1. def main():
  2.     num_inputs = len(input_names)
  3.     num_outputs = len(output_names)
  4.     tables = np.load(TABLE_FILE)
  5.  
  6.     pininput = "\\n".join([template_pininput.format(name=name, bit=i) for i, name in enumerate(output_names)])
  7.     pininput += "\\n\\tif(invert_switches(serial_number))\\n\\t\\tinput_value ^= {};\\n".format(2**num_outputs-1)
  8.  
  9.     lookuptable = ",\\n".join([
  10.         "// {}\\n{{ ".format(configs[i]["title"])+np.array2string(np.sum(np.power(2, np.arange(num_outputs))[None, ::-1] * tables[i, :, num_inputs:], axis=1), separator=",")[1:-1]+"}" # remove [] on the outside
  11.         for i in range(len(configs))])
  12.  
  13.     setup  = "\\n".join(["""\\tpinMode(PIN_{name},OUTPUT);""".format(name=name) for name in input_names])
  14.     setup += "\\n\\n"
  15.     setup += "\\n".join(["""\\tpinMode(PIN_{name},INPUT_PULLUP);""".format(name=name) for name in output_names+["RUN"]])
  16.  
  17.     setdisplay = "\\tif(invert_leds(serial_number))\\n\\t\\trandom_value ^= 0xFF;\\n\\n"
  18.     setdisplay += "\\n".join(["""\\tdigitalWrite(PIN_{name},random_value & (1<<{bit}) ? HIGH : LOW);""".format(name=name, name in enumerate(input_names)])
  19.  
  20.     invert_leds_string = "\\n".join(("""\\tif(serial_number[4]==''{}'') return 1;""".format(l) for l in led_inverts))
  21.  
  22.     invert_switches_string = "\\n".join(("""\\tif( (serial_number[2]==''{}'') && (serial_number[3]==''{}'') ) return 1;""".format(s[0], s[1]) for s in switch_inverts))
  23.  
  24.     random_value_bitmask = 2**num_inputs-1
  25.  
  26.     with open("autowires.cpp.in", "r") as f:
  27.         template = f.read()
  28.  
  29.     with open("wires_autogen.cpp","w") as f:
  30.         f.write("// This file has been generated automatically! Do not modify!\\n")
  31.         f.write(template.format(
  32.             lookuptable=lookuptable,
  33.             pininput=pininput,
  34.             setup=setup,
  35.             setdisplay=setdisplay,
  36.             invert_switches = invert_switches_string,
  37.             invert_leds = invert_leds_string,
  38.             random_value_bitmask = random_value_bitmask,
  39.             num_tables=len(tables),
  40.             num_combinations=len(tables[0])))
项目：foamBazar    作者：BV-DR    | 项目源码 | 文件源码 
  1. def key(self, master=False):
  2.         keystr = remove_bracket(np.array2string(self.pos, prefix='')'', formatter={''float_kind'':lambda x: Point._FORMAT_FLOAT % x}))
  3.         return keystr
  4.  
  5.     # this is an alternative constructor which can be called directly as "Point.fromkey(keystr)"
项目：-ANT-    作者：MahmoudAbdelRahman    | 项目源码 | 文件源码 
  1. def main(dataSet):
  2.     '''''' This is the main function  ''''''
  3.  
  4.     directory = "C:/ant/datasets/"
  5.     if not os.path.exists(directory):
  6.         os.makedirs(directory)
  7.  
  8.  
  9.     allDataSets = { 1:"load_iris",     2:"load_boston",    3:"load_digits",
  10.                     4:"load_diabetes"}
  11.     try:
  12.         exec("from sklearn.datasets import "+allDataSets[dataSet])
  13.         exec("data = "+allDataSets[dataSet]+"()")
  14.  
  15.         dumpdata = pickle.dumps(data.data)
  16.         dumpTargets = pickle.dumps(data.target)
  17.         f = open(directory+allDataSets[dataSet]+"_Data.txt", ''w'')
  18.         f.write(dumpdata)
  19.         f.close()
  20.  
  21.         f2 = open(directory+allDataSets[dataSet]+"_Target.txt", ''w'')
  22.         f2.write(dumpTargets)
  23.         f2.close()
  24.  
  25.         data = directory+allDataSets[dataSet]+"_Data.txt" #np.array2string(data.data,separator=",")
  26.         target = directory+allDataSets[dataSet]+"_Target.txt"
  27.         featuers = None
  28.         return [data, target, featuers]
  29.     except Exception as e:
  30.         print str(e)
项目：Alfred    作者：jkachhadia    | 项目源码 | 文件源码 
  1. def test_basic(self):
  2.         """Basic test of array2string."""
  3.         a = np.arange(3)
  4.         assert_(np.array2string(a) == ''[0 1 2]'')
  5.         assert_(np.array2string(a, max_line_width=4) == ''[0 1\\n 2]'')
项目：Alfred    作者：jkachhadia    | 项目源码 | 文件源码 
  1. def test_style_keyword(self):
  2.         """This should only apply to 0-D arrays. See #1218."""
  3.         stylestr = np.array2string(np.array(1.5),
  4.                                    style=lambda x: "Value in 0-D array: " + str(x))
  5.         assert_(stylestr == ''Value in 0-D array: 1.5'')
项目：Alfred    作者：jkachhadia    | 项目源码 | 文件源码 
  1. def test_format_function(self):
  2.         """Test custom format function for each element in array."""
  3.         def _format_function(x):
  4.             if np.abs(x) < 1:
  5.                 return ''.''
  6.             elif np.abs(x) < 2:
  7.                 return ''o''
  8.             else:
  9.                 return ''O''
  10.  
  11.         x = np.arange(3)
  12.         if sys.version_info[0] >= 3:
  13.             x_hex = "[0x0 0x1 0x2]"
  14.             x_oct = "[0o0 0o1 0o2]"
  15.         else:
  16.             x_hex = "[0x0L 0x1L 0x2L]"
  17.             x_oct = "[0L 01L 02L]"
  18.         assert_(np.array2string(x, formatter={''numpystr'':lambda s: s*2}) ==
  19.                 ''[abcabc defdef]'')
项目：Alfred    作者：jkachhadia    | 项目源码 | 文件源码 
  1. def test_datetime_array_str(self):
  2.         a = np.array([''2011-03-16'', "[''2010'' ''NaT'' ''2030'']")
项目：imgpedia    作者：scferrada    | 项目源码 | 文件源码 
  1. def writeRDF(buffer):
  2.     while not buffer.empty():
  3.         folder, subfolder = buffer.get()
  4.         print "working on %s" % subfolder
  5.         img_dirs = []
  6.         for path, dirs, files in os.walk(os.path.join(descriptor_path,folder,subfolder)):
  7.             img_dirs.extend(dirs)
  8.             break
  9.         for img_dir in img_dirs:
  10.             out_images = os.path.join(output_path, images, folder, subfolder)
  11.             out_descriptors = os.path.join(output_path, descriptors, subfolder)
  12.             if not os.path.exists(out_images):
  13.                 os.makedirs(out_images)
  14.             if not os.path.exists(out_descriptors):
  15.                 os.makedirs(out_descriptors)
  16.             #write rdf file for visual entity
  17.             image_rdf = open(os.path.join(out_images, img_dir), "w")
  18.             image_rdf.write(prefixes_im)
  19.             txt = "imr:%s a imo:Image ;\\n" % img_dir
  20.             txt += "\\timo:folder %s ;\\n" % folder
  21.             txt += "\\timo:subfolder %s ;\\n" % subfolder
  22.             txt += "\\towl:sameAs dbcr:%s ;\\n" % img_dir
  23.             image_rdf.write(txt)
  24.             image_rdf.close()
  25.             #write rdf files for each descriptor
  26.             for path, subfolder, img_dir)):
  27.                 if len(files) < 3:
  28.                     e = open(error_log, "a")
  29.                     txt = "File %s/%s/%s has only %d descriptors\\n" % (folder, img_dir, len(files))
  30.                     e.write(txt)
  31.                     e.close()
  32.                 for descriptor_file in files:
  33.                     descriptor = np.load(os.path.join(descriptor_path,img_dir,descriptor_file))
  34.                     descriptor_rdf = open(os.path.join(out_descriptors, descriptor_file), "w")
  35.                     descriptor_rdf.write(prefixes_desc)
  36.                     extension = descriptor_map[descriptor_file[-3:]]
  37.                     txt = "\\nimr:%s a imo:%s ;\\n" % (descriptor_file[:-3] + extension, extension)
  38.                     txt += "\\timo:describes imr:%s ;\\n" % (img_dir)
  39.                     txt += "\\timo:value \\"%s\\" ." % (np.array2string(descriptor.T[0], max_line_width=100000))
  40.                     descriptor_rdf.write(txt)
  41.                     descriptor_rdf.close()
  42.                 break
  43.         buffer.task_done()
  44.         print "subfolder %s done" % subfolder
项目：odin    作者：imito    | 项目源码 | 文件源码 
  1. def print_hinton(arr, max_arr=None):
  2.   '''''' Print bar string,fast way to visual magnitude of value in terminal
  3.  
  4.   Example:
  5.   -------
  6.   >>> W = np.random.rand(10,10)
  7.   >>> print_hinton(W)
  8.   >>> ?????? ???
  9.   >>> ????? ??
  10.   >>> ??????????
  11.   >>> ??????????
  12.   >>> ? ?  ?????
  13.   >>> ??????? ??
  14.   >>>  ??? ?????
  15.   >>> ???? ? ???
  16.   >>> ??????????
  17.   >>> ??? ??? ??
  18.   Returns
  19.   -------
  20.   return : str
  21.       plot of array,for example: ????
  22.   ''''''
  23.   arr = np.asarray(arr)
  24.   if len(arr.shape) == 1:
  25.     arr = arr[None, :]
  26.  
  27.   def visual_func(val, max_val):
  28.     if abs(val) == max_val:
  29.       step = len(_chars) - 1
  30.     else:
  31.       step = int(abs(float(val) / max_val) * len(_chars))
  32.     colourstart = ""
  33.     colourend = ""
  34.     if val < 0:
  35.       colourstart, colourend = ''\\033[90m'', ''\\033[0m''
  36.     return colourstart + _chars[step] + colourend
  37.  
  38.   if max_arr is None:
  39.     max_arr = arr
  40.   max_val = max(abs(np.max(max_arr)), abs(np.min(max_arr)))
  41.   # print(np.array2string(arr,
  42.   #                       formatter={''float_kind'': lambda x: visual(x,max_val)},
  43.   #                       max_line_width=5000)
  44.   # )
  45.   f = np.vectorize(visual_func)
  46.   result = f(arr, max_val) # array of ????
  47.   rval = ''''
  48.   for r in result:
  49.     rval += ''''.join(r) + ''\\n''
  50.  
  51.   return rval[:-1]
项目：flopyMetascript    作者：bdestombe    | 项目源码 | 文件源码 
  1. def parse_array_str(ar, orig_shape, compres, precision=8):
  2.         """
  3.         -1: unable to reduce in size
  4.         0:  a value in a singleton dimension may be used
  5.         1:  broadcastable array
  6.  
  7.         todo:
  8.         for multiline array strings add extra space in line 2,3..
  9.         use array2string-prefix for this
  10.         """
  11.  
  12.         max_line_width = np.inf
  13.         suppress_small = True  # to mask some rounding issues
  14.         np.set_printoptions(threshold=np.inf, linewidth=np.inf)
  15.  
  16.         if compres == 0:
  17.             return str(ar)
  18.  
  19.         elif compres == -1:
  20.             pre = ''np.array(''
  21.             post = '')''
  22.             ar_str = np.array2string(
  23.                 np.array(ar),
  24.                 max_line_width=max_line_width,
  25.                 precision=precision,
  26.                 suppress_small=suppress_small,
  27.                 separator='',
  28.                 prefix=pre)
  29.             ar_str = '' ''.join(ar_str.split())
  30.             return pre + ar_str + post
  31.  
  32.         elif compres == 1:
  33.             pre = ''np.broadcast_to(''
  34.             post = '',{0})''.format(orig_shape)
  35.             ar_str = np.array2string(
  36.                 ar,
  37.                 prefix=pre)
  38.             ar_str = '' ''.join(ar_str.split())
  39.             return pre + ar_str + post

Jupyter 中的 Numpy 在打印时出错（Python 版本 3.8.8）：TypeError: 'numpy.ndarray' object is not callable

Jupyter 中的 Numpy 在打印时出错（Python 版本 3.8.8）：TypeError: 'numpy.ndarray' object is not callable

如何解决Jupyter 中的 Numpy 在打印时出错（Python 版本 3.8.8）：TypeError: ''numpy.ndarray'' object is not callable？

晚安， 尝试打印以下内容时，我在 jupyter 中遇到了 numpy 问题，并且得到了一个 错误： 需要注意的是python版本是3.8.8。 我先用 spyder 测试它，它运行正确，它给了我预期的结果

使用 Spyder：

import numpy as np
    for i in range (5):
        n = np.random.rand ()
    print (n)

Results
0.6604903457995978
0.8236300859753154
0.16067650689842816
0.6967868357083673
0.4231597934445466

现在有了 jupyter

import numpy as np
    for i in range (5):
        n = np.random.rand ()
    print (n)

-------------------------------------------------- ------
TypeError Traceback (most recent call last)
<ipython-input-78-0c6a801b3ea9> in <module>
       2 for i in range (5):
       3 n = np.random.rand ()
---->  4 print (n)

       TypeError: ''numpy.ndarray'' object is not callable

感谢您对我如何在 Jupyter 中解决此问题的帮助。

非常感谢您抽出宝贵时间。

阿特，约翰”

解决方法

暂无找到可以解决该程序问题的有效方法，小编努力寻找整理中！

如果你已经找到好的解决方法，欢迎将解决方案带上本链接一起发送给小编。

小编邮箱:dio#foxmail.com (将#修改为@）

List2String 与 Array2String

List2String 与 Array2String

将 List 或者 Array 转换为以特定符号分割的字符串。需 commons-lang.jar 支持

import java.util.List;

import org.apache.commons.lang.StringUtils;

/**
 * 通用工具类 
 * @author wiwiluo
 */
public class CommonUtil
{
    
    /**
     * List转为以separator分割的字符串
     * @param list
     * @param separator 分隔符
     * @return String
     */
    public static String listToString(List<Object> list, String separator)
    {
        return StringUtils.join(list.toArray(), separator);
    }
    
    /**
     * Array转为以separator分割的字符串
     * @param arr
     * @param separator 分隔符
     * @return String
     */
    public static String arrayToString(Object[] arr, String separator)
    {
        return StringUtils.join(arr, separator);
    }
    
}

numpy.random.random & numpy.ndarray.astype & numpy.arange

numpy.random.random & numpy.ndarray.astype & numpy.arange

今天看到这样一句代码：

xb = np.random.random((nb, d)).astype(''float32'') #创建一个二维随机数矩阵（nb行d列）
xb[:, 0] += np.arange(nb) / 1000. #将矩阵第一列的每个数加上一个值

要理解这两句代码需要理解三个函数

1、生成随机数

numpy.random.random(size=None) 

size为None时，返回float。

size不为None时，返回numpy.ndarray。例如numpy.random.random((1,2))，返回1行2列的numpy数组

 

2、对numpy数组中每一个元素进行类型转换

numpy.ndarray.astype(dtype)

返回numpy.ndarray。例如 numpy.array([1, 2, 2.5]).astype(int)，返回numpy数组 [1, 2, 2]

 

3、获取等差数列

numpy.arange([start,]stop,[step,]dtype=None)

功能类似python中自带的range()和numpy中的numpy.linspace

返回numpy数组。例如numpy.arange(3)，返回numpy数组[0, 1, 2]

numpy.ravel()/numpy.flatten()/numpy.squeeze()

numpy.ravel()/numpy.flatten()/numpy.squeeze()

numpy.ravel(a, order=''C'')

　　Return a flattened array

numpy.chararray.flatten(order=''C'')

　　Return a copy of the array collapsed into one dimension

numpy.squeeze(a, axis=None)

　　Remove single-dimensional entries from the shape of an array.

 

相同点: 将多维数组 降为 一维数组

不同点:

　　ravel() 返回的是视图(view)，意味着改变元素的值会影响原始数组元素的值;

　　flatten() 返回的是拷贝，意味着改变元素的值不会影响原始数组;

　　squeeze()返回的是视图(view)，仅仅是将shape中dimension为1的维度去掉;

 

ravel()示例:

 1 import matplotlib.pyplot as plt
 2 import numpy as np
 3 
 4 def log_type(name,arr):
 5     print("数组{}的大小:{}".format(name,arr.size))
 6     print("数组{}的维度:{}".format(name,arr.shape))
 7     print("数组{}的维度:{}".format(name,arr.ndim))
 8     print("数组{}元素的数据类型:{}".format(name,arr.dtype))
 9     #print("数组:{}".format(arr.data))
10     
11 a = np.floor(10*np.random.random((3,4)))
12 print(a)
13 log_type(''a'',a)
14 
15 a1 = a.ravel()
16 print("a1:{}".format(a1))
17 log_type(''a1'',a1)
18 a1[2] = 100
19 
20 print(a)
21 log_type(''a'',a)

 

flatten()示例

 1 import matplotlib.pyplot as plt
 2 import numpy as np
 3 
 4 def log_type(name,arr):
 5     print("数组{}的大小:{}".format(name,arr.size))
 6     print("数组{}的维度:{}".format(name,arr.shape))
 7     print("数组{}的维度:{}".format(name,arr.ndim))
 8     print("数组{}元素的数据类型:{}".format(name,arr.dtype))
 9     #print("数组:{}".format(arr.data))
10     
11 a = np.floor(10*np.random.random((3,4)))
12 print(a)
13 log_type(''a'',a)
14 
15 a1 = a.flatten()
16 print("修改前a1:{}".format(a1))
17 log_type(''a1'',a1)
18 a1[2] = 100
19 print("修改后a1:{}".format(a1))
20 
21 print("a:{}".format(a))
22 log_type(''a'',a)

 

squeeze()示例：

1. 没有single-dimensional entries的情况

 1 import matplotlib.pyplot as plt
 2 import numpy as np
 3 
 4 def log_type(name,arr):
 5     print("数组{}的大小:{}".format(name,arr.size))
 6     print("数组{}的维度:{}".format(name,arr.shape))
 7     print("数组{}的维度:{}".format(name,arr.ndim))
 8     print("数组{}元素的数据类型:{}".format(name,arr.dtype))
 9     #print("数组:{}".format(arr.data))
10     
11 a = np.floor(10*np.random.random((3,4)))
12 print(a)
13 log_type(''a'',a)
14 
15 a1 = a.squeeze()
16 print("修改前a1:{}".format(a1))
17 log_type(''a1'',a1)
18 a1[2] = 100
19 print("修改后a1:{}".format(a1))
20 
21 print("a:{}".format(a))
22 log_type(''a'',a)

从结果中可以看到，当没有single-dimensional entries时，squeeze()返回额数组对象是一个view,而不是copy。

 

2. 有single-dimentional entries 的情况

 1 import matplotlib.pyplot as plt
 2 import numpy as np
 3 
 4 def log_type(name,arr):
 5     print("数组{}的大小:{}".format(name,arr.size))
 6     print("数组{}的维度:{}".format(name,arr.shape))
 7     print("数组{}的维度:{}".format(name,arr.ndim))
 8     print("数组{}元素的数据类型:{}".format(name,arr.dtype))
 9     #print("数组:{}".format(arr.data))
10 
11 a = np.floor(10*np.random.random((1,3,4)))
12 print(a)
13 log_type(''a'',a)
14 
15 a1 = a.squeeze()
16 print("修改前a1:{}".format(a1))
17 log_type(''a1'',a1)
18 a1[2] = 100
19 print("修改后a1:{}".format(a1))
20 
21 print("a:{}".format(a))
22 log_type(''a'',a)

 

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