I am using Azure ML Notebook to run both python and R code in notebook cells. I have installed python packages pandas 1.1.5 and rpy2 3.5.4 but when I run the following lines of code:
%load_ext rpy2.ipython
print("ankit")
I get the following error message:
AttributeError: module 'pandas' has no attribute 'Float64Dtype'
Can anyone please help to resolve this error ? Any help would be appreciated.
Complete error is as following:
AttributeError Traceback (most recent call last)
Input In [10], in <cell line: 1>()
----> 1 get_ipython().run_line_magic('load_ext', 'rpy2.ipython')
2 print("ankit")
File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/IPython/core/interactiveshell.py:2305, in InteractiveShell.run_line_magic(self, magic_name, line, _stack_depth)
2303 kwargs['local_ns'] = self.get_local_scope(stack_depth)
2304 with self.builtin_trap:
-> 2305 result = fn(*args, **kwargs)
2306 return result
File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/IPython/core/magics/extension.py:33, in ExtensionMagics.load_ext(self, module_str)
31 if not module_str:
32 raise UsageError('Missing module name.')
---> 33 res = self.shell.extension_manager.load_extension(module_str)
35 if res == 'already loaded':
36 print("The %s extension is already loaded. To reload it, use:" % module_str)
File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/IPython/core/extensions.py:76, in ExtensionManager.load_extension(self, module_str)
69 """Load an IPython extension by its module name.
70
71 Returns the string "already loaded" if the extension is already loaded,
72 "no load function" if the module doesn't have a load_ipython_extension
73 function, or None if it succeeded.
74 """
75 try:
---> 76 return self._load_extension(module_str)
77 except ModuleNotFoundError:
78 if module_str in BUILTINS_EXTS:
File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/IPython/core/extensions.py:92, in ExtensionManager._load_extension(self, module_str)
90 if module_str not in sys.modules:
91 with prepended_to_syspath(self.ipython_extension_dir):
---> 92 mod = import_module(module_str)
93 if mod.__file__.startswith(self.ipython_extension_dir):
94 print(("Loading extensions from {dir} is deprecated. "
95 "We recommend managing extensions like any "
96 "other Python packages, in site-packages.").format(
97 dir=compress_user(self.ipython_extension_dir)))
File /anaconda/envs/azureml_py38/lib/python3.8/importlib/__init__.py:127, in import_module(name, package)
125 break
126 level = 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)
File <frozen importlib._bootstrap>:1014, in _gcd_import(name, package, level)
File <frozen importlib._bootstrap>:991, in _find_and_load(name, import_)
File <frozen importlib._bootstrap>:975, in _find_and_load_unlocked(name, import_)
File <frozen importlib._bootstrap>:671, in _load_unlocked(spec)
File <frozen importlib._bootstrap_external>:783, in exec_module(self, module)
File <frozen importlib._bootstrap>:219, in _call_with_frames_removed(f, *args, **kwds)
File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/rpy2/ipython/__init__.py:1, in <module>
----> 1 from . import rmagic
3 load_ipython_extension = rmagic.load_ipython_extension
File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/rpy2/ipython/rmagic.py:121, in <module>
116 def _get_converter(template_converter=template_converter):
117 return Converter('ipython conversion',
118 template=template_converter)
--> 121 ipy_template_converter = _get_ipython_template_converter(template_converter,
122 numpy=numpy,
123 pandas=pandas)
124 converter = _get_converter(template_converter=ipy_template_converter)
127 def CELL_DISPLAY_DEFAULT(res, args):
File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/rpy2/ipython/rmagic.py:111, in _get_ipython_template_converter(template_converter, numpy, pandas)
109 template_converter = numpy2ri.converter
110 if pandas:
--> 111 from rpy2.robjects import pandas2ri
112 template_converter = pandas2ri.converter
113 return template_converter
File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/rpy2/robjects/pandas2ri.py:144, in <module>
125 v = math.nan
126 set_elt(r_vector, i, cast_value(v))
129 _PANDASTYPE2RPY2 = {
130 datetime.date: DateVector,
131 int: functools.partial(
132 IntVector.from_iterable,
133 populate_func=_int_populate_r_vector
134 ),
135 pandas.BooleanDtype: functools.partial(
136 BoolVector.from_iterable,
137 populate_func=_bool_populate_r_vector
138 ),
139 None: BoolVector,
140 str: functools.partial(
141 StrVector.from_iterable,
142 populate_func=_str_populate_r_vector
143 ),
--> 144 pandas.Float64Dtype: functools.partial(
145 FloatVector.from_iterable,
146 populate_func=_float_populate_r_vector
147 ),
148 bytes: (numpy2ri.converter.py2rpy.registry[
149 numpy.ndarray
150 ])
151 }
154 @py2rpy.register(pandas.core.series.Series)
155 def py2rpy_pandasseries(obj):
156 if obj.dtype.name == 'O':
File /anaconda/envs/azureml_py38/lib/python3.8/site-packages/pandas/__init__.py:258, in __getattr__(name)
254 from pandas.core.arrays.sparse import SparseArray as _SparseArray
256 return _SparseArray
--> 258 raise AttributeError(f"module 'pandas' has no attribute '{name}'")
AttributeError: module 'pandas' has no attribute 'Float64Dtype'
CodePudding user response：
I replicate your situation on my system and it works.
You can use this set of library versions:
R version: 4.2.1
rpy2 version: 3.4.5
Pandas version: 1.3.5