future warnings to resolve

[npr99]

future warnings to resolve

[npr99]

Thank you chat gpt!
please summarise all of these issues: /workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:741: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
expanded_hui_split['Not Set'][newchar_var[0]].fillna(value = 0)
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:1014: FutureWarning: The provided callable <function sum at 0x722035f30ee0> is currently using DataFrameGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "sum" instead.
total_sum_df = pd.pivot_table(df, values=values_to_sum, index=by_vars,
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:803: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
updated_probability = expanded_hui_split['Not Set']['prob_'+newchar_var[0]].fillna(value = 1)
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:856: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
expanded_hui_split['Not Set'][updated_countvar].fillna(value = 0)
/home/codespace/.local/lib/python3.10/site-packages/pandas/core/computation/expressions.py:73: RuntimeWarning: invalid value encountered in less_equal
return op(a, b)
/home/codespace/.local/lib/python3.10/site-packages/pandas/core/computation/expressions.py:73: RuntimeWarning: invalid value encountered in greater
return op(a, b)
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:1014: FutureWarning: The provided callable <function sum at 0x722035f30ee0> is currently using DataFrameGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "sum" instead.
total_sum_df = pd.pivot_table(df, values=values_to_sum, index=by_vars,
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:1014: FutureWarning: The provided callable <function sum at 0x722035f30ee0> is currently using DataFrameGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "sum" instead.
total_sum_df = pd.pivot_table(df, values=values_to_sum, index=by_vars,
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:470: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
merged_groups[self.new_char] = merged_groups[self.new_char].
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:760: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '0.5' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
set_flag_df.loc[conditions, self.flaggeo_var] = .5
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:470: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
merged_groups[self.new_char] = merged_groups[self.new_char].
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:470: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
merged_groups[self.new_char] = merged_groups[self.new_char].
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:760: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '0.5' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
set_flag_df.loc[conditions, self.flaggeo_var] = .5
/workspaces/intersect-community-data/pyncoda/ncoda_07a_generate_hui.py:170: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.
hui_incore_df_fixed = hui_incore_df.applymap(lambda cell: int(cell) if str(cell).endswith('.0') else cell)
/workspaces/intersect-community-data/pyncoda/ncoda_00e_geoutilities.py:294: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '2637860' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
copy_point_gdf.loc[precise_matches.index,geolevel+col] = polygon[col]
/workspaces/intersect-community-data/pyncoda/ncoda_00e_geoutilities.py:294: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Hesperia' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
copy_point_gdf.loc[precise_matches.index,geolevel+col] = polygon[col]