code: def test_pandas_series_mean(
      dtype_x,
      frontend,
      frontend_method_data,
      init_flags,
      method_flags,
      on_device,
      backend_fw,
      skipna,
      axis,
  ):
      input_dtype, x = dtype_x
      helpers.test_frontend_method(
          init_input_dtypes=input_dtype,
          init_all_as_kwargs_np={
              "data": x[0],
          },
          method_input_dtypes=input_dtype,
          method_all_as_kwargs_np={"skipna": skipna, "axis": axis},
          frontend_method_data=frontend_method_data,
          init_flags=init_flags,
          method_flags=method_flags,
          frontend=frontend,
          on_device=on_device,
          backend_to_test=backend_fw,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_pandas/test_dataframe.py
imports: from hypothesis import strategies
  import pytest
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_method
label_desc: Use image node_id 2 for calling a global function with example usage: test_pandas_series_mean(dtype_x, frontend, frontend_method_data, init_flags, method_flags, on_device, backend_fw, skipna, axis) without return types