Fixing Pandas deprecation warnings.

[MahmoudAlamar03]

Checking for deprecation warnings. Unable to replicate the deprecation warnings mentioned by @andy-beer, currently working on resolving those sent directly:
warnings summary ====================================================================
tests/unit_tests/derived_model/test_derived_model.py::test_add_wells_from_ascii_file
tests/unit_tests/well/test_well_object_funcs.py::test_add_wells_from_ascii_file
tests/unit_tests/well/test_well_object_funcs.py::test_add_wells_from_ascii_file
/Users/andy/bifröst/resqpy_repo/resqpy/well/well_object_funcs.py:80: FutureWarning: The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use sep='\s+' instead
df = pd.read_csv(trajectory_file,

tests/unit_tests/fault/test_fault.py::test_add_connection_set_and_tmults[inc_list0-tmult_dict0-expected_mult0]
tests/unit_tests/fault/test_fault.py::test_add_connection_set_and_tmults[inc_list1-tmult_dict1-expected_mult1]
tests/unit_tests/fault/test_fault.py::test_add_connection_set_and_tmults[inc_list2-tmult_dict2-expected_mult2]
tests/unit_tests/olio/test_read_nexus_fault.py::test_load_nexus_fault_mult_table[basic]
/Users/andy/bifröst/resqpy_repo/resqpy/olio/read_nexus_fault.py:117: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing errors and catch exceptions explicitly instead
df[column] = pd.to_numeric(df[column], errors = 'ignore')

tests/unit_tests/fault/test_fault.py::test_add_connection_set_and_tmults[inc_list2-tmult_dict2-expected_mult2]
tests/unit_tests/olio/test_read_nexus_fault.py::test_load_nexus_fault_mult_table[basic]
/Users/andy/bifröst/resqpy_repo/resqpy/olio/read_nexus_fault.py:67: FutureWarning: errors='ignore' is deprecated and will raise in a future version. Use to_numeric without passing errors and catch exceptions explicitly instead
df[column] = pd.to_numeric(df[column], errors = 'ignore')

tests/unit_tests/olio/test_relperm.py::test_col_headers
tests/unit_tests/olio/test_relperm.py::test_missing_vals
tests/unit_tests/olio/test_relperm.py::test_monotonicity
tests/unit_tests/olio/test_relperm.py::test_range
tests/unit_tests/olio/test_relperm.py::test_relperm
tests/unit_tests/olio/test_relperm.py::test_relperm_no_phase_combo[test_cols0-water-oil]
tests/unit_tests/olio/test_relperm.py::test_relperm_no_phase_combo[test_cols1-gas-oil]
tests/unit_tests/olio/test_relperm.py::test_relperm_no_phase_combo[test_cols2-gas-water]
/Users/andy/bifröst/resqpy_repo/resqpy/olio/relperm.py:94: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.

df['Pc'].replace('None', np.nan, inplace = True)

tests/unit_tests/well/test_blocked_well.py: 12 warnings
tests/unit_tests/well/test_well_object_funcs.py: 1 warning
tests/unit_tests/well/test_well_utils.py: 1 warning
/Users/andy/bifröst/resqpy_repo/resqpy/well/_blocked_well.py:880: FutureWarning: Series.getitem treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use ser.iloc[pos]
if pd.isna(row[0]) or pd.isna(row[1]) or pd.isna(row[2]):

tests/unit_tests/well/test_blocked_well.py: 12 warnings
tests/unit_tests/well/test_well_object_funcs.py: 1 warning
tests/unit_tests/well/test_well_utils.py: 1 warning
/Users/andy/bifröst/resqpy_repo/resqpy/well/_blocked_well.py:883: FutureWarning: Series.getitem treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use ser.iloc[pos]
cell_kji0[:] = row[2], row[1], row[0]

tests/unit_tests/well/test_deviation_survey.py::test_DeviationSurvey
/Users/andy/bifröst/resqpy_repo/resqpy/well/_deviation_survey.py:236: FutureWarning: The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use sep='\s+' instead
df = pd.read_csv(deviation_survey_file,

tests/unit_tests/well/test_trajectory.py::test_load_from_ascii_file
tests/unit_tests/well/test_trajectory.py::test_load_from_ascii_file
tests/unit_tests/well/test_trajectory.py::test_arrays
/Users/andy/bifröst/resqpy_repo/resqpy/well/_trajectory.py:513: FutureWarning: The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use sep='\s+' instead
df = pd.read_csv(trajectory_file,

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================================================ short test summary info ================================================================
SKIPPED [1] tests/unit_tests/test_resqpy.py:25: need --buildtest option to run
===================================================== 1189 passed, 1 skipped, 49 warnings in 23.72s

[codecov]

Codecov Report

Attention: Patch coverage is 77.77778% with 4 lines in your changes missing coverage. Please review.

Project coverage is 83.66%. Comparing base (16efb3d) to head (48d3905).
Report is 47 commits behind head on master.

Files with missing lines	Patch %	Lines
resqpy/olio/read_nexus_fault.py	50.00%	4 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##           master     #855   +/-   ##
=======================================
  Coverage   83.65%   83.66%           
=======================================
  Files         192      192           
  Lines       33601    33636   +35     
=======================================
+ Hits        28110    28142   +32     
- Misses       5491     5494    +3     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

---

🚨 Try these New Features:

• Flaky Tests Detection - Detect and resolve failed and flaky tests

[andy-beer]

Let's discuss these changes as I'm hazy about the use of iloc here.