diff --git a/setup.cfg b/setup.cfg
index 16a1241..19dc98b 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,6 +1,6 @@
 [metadata]
 name = ozon3
-version = 1.7.4
+version = 1.7.5
 author = Milind Sharma
 author_email = milindsharma8@gmail.com
 description = A package to get air quality data using the WAQI API
diff --git a/setup.py b/setup.py
index fd52d67..7e345a1 100644
--- a/setup.py
+++ b/setup.py
@@ -9,8 +9,8 @@
     description="A package to get air quality data using the WAQI API",
     license="GPLv3+",
     url="https://github.com/Milind220/Ozone",
-    version="1.7.4",
-    download_url="https://github.com/Milind220/Ozone/archive/refs/tags/v1.7.4.tar.gz",
+    version="1.7.5",
+    download_url="https://github.com/Milind220/Ozone/archive/refs/tags/v1.7.5.tar.gz",
     packages=setuptools.find_packages(),
     install_requires=[
         "numpy; python_version>='3'",
diff --git a/src/ozone/ozone.py b/src/ozone/ozone.py
index 8f412a5..9ef5a0a 100644
--- a/src/ozone/ozone.py
+++ b/src/ozone/ozone.py
@@ -91,7 +91,8 @@ def __init__(
 
         if self.file_name == "air_quality":
             warnings.warn(
-                "You have not specified a custom save file name. Existing files with the same name may be overwritten!"
+                "You have not specified a custom save file name. "
+                "Existing files with the same name may be overwritten!"
             )
 
     def _check_token_validity(self) -> None:
@@ -160,6 +161,11 @@ def _format_output(
         if data_format == "df":
             return df
 
+        if data_format not in ["csv", "xlsx", "json"]:
+            raise Exception(
+                f"Invalid file format {data_format}. Use any of: csv, json, xlsx, df"
+            )
+
         self.output_dir_path.mkdir(exist_ok=True)
 
         if data_format == "csv":
@@ -179,10 +185,7 @@ def _format_output(
             print(
                 f"File saved to disk at {self.output_dir_path} as {self.file_name}.xlsx"
             )
-        else:
-            raise Exception(
-                f"Invalid file format {data_format}. Use any of: csv, json, xlsx, df"
-            )
+
         return pandas.DataFrame()
 
     def _extract_live_data(
@@ -246,7 +249,12 @@ def _extract_forecast_data(self, data_obj: Any) -> pandas.DataFrame:
             dict_of_frames[pol] = pandas.DataFrame(lst).set_index("day")
 
         df = pandas.concat(dict_of_frames, axis=1)
+
+        # Convert to numeric while making non-numerics nan,
+        # and then convert to float, just in case there's int
+        df = df.apply(lambda x: pandas.to_numeric(x, errors="coerce")).astype(float)
         df.index = pandas.to_datetime(df.index)
+        df = df.reset_index().rename(columns={"day": "date"})
         return df
 
     def _check_and_get_data_obj(
diff --git a/tests/cassettes/test_get_city_air/test_bad_data_format.yaml b/tests/cassettes/test_get_city_air/test_bad_data_format.yaml
deleted file mode 100644
index 2d45cfc..0000000
--- a/tests/cassettes/test_get_city_air/test_bad_data_format.yaml
+++ /dev/null
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diff --git a/tests/cassettes/test_get_city_air/test_correct_data_format.yaml b/tests/cassettes/test_get_city_air/test_correct_data_format.yaml
deleted file mode 100644
index c953ea1..0000000
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index 0000000..23816cc
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diff --git a/tests/cassettes/test_get_multiple_coordinate_air/test_bad_data_format.yaml b/tests/cassettes/test_get_multiple_coordinate_air/test_output_data_format_bad.yaml
similarity index 51%
rename from tests/cassettes/test_get_multiple_coordinate_air/test_bad_data_format.yaml
rename to tests/cassettes/test_get_multiple_coordinate_air/test_output_data_format_bad.yaml
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diff --git a/tests/conftest.py b/tests/conftest.py
index 6798f60..f0ff077 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -2,6 +2,30 @@
 from utils import vcr_kwargs, DEFAULT_OUTPUT_FOLDER
 
 
+# Pytest configurations. Modified from
+# https://docs.pytest.org/en/7.1.x/example/simple.html#control-skipping-of-tests-according-to-command-line-option
+
+# Add option for CLI invocation
+def pytest_addoption(parser):
+    parser.addoption(
+        "--skip-slow", action="store_true", default=False, help="skip slow tests"
+    )
+
+
+# Register pytest.mark.slow
+def pytest_configure(config):
+    config.addinivalue_line("markers", "slow: mark test as slow to run")
+
+
+# Skip slow tests unless --run_slow is given
+def pytest_collection_modifyitems(config, items):
+    if config.getoption("--skip-slow"):
+        skip_slow = pytest.mark.skip(reason="skipped due to --skip-slow")
+        for item in items:
+            if "slow" in item.keywords:
+                item.add_marker(skip_slow)
+
+
 # Configuration fixture for pytest-vcr
 @pytest.fixture(scope="session")
 def vcr_config():
diff --git a/tests/test_get_city_air.py b/tests/test_get_city_air.py
index 64c4dd2..3723d6a 100644
--- a/tests/test_get_city_air.py
+++ b/tests/test_get_city_air.py
@@ -3,7 +3,12 @@
 import pandas.api.types as pd_types
 import pytest
 
-from utils import api, DEFAULT_OUTPUT_FOLDER, DEFAULT_OUTPUT_FILE
+from utils import (
+    api,
+    DEFAULT_OUTPUT_FOLDER,
+    DEFAULT_OUTPUT_FILE,
+    SUPPORTED_OUTPUT_FORMATS,
+)
 
 
 @pytest.mark.vcr
@@ -79,7 +84,7 @@ def test_bad_city():
 
 
 @pytest.mark.vcr
-def test_bad_data_format():
+def test_output_data_format_bad():
     with pytest.raises(Exception, match="Invalid file format"):
         api.get_city_air("london", data_format="a definitely wrong data format")
 
@@ -88,12 +93,11 @@ def test_bad_data_format():
 
 
 @pytest.mark.vcr
-def test_correct_data_format():
+@pytest.mark.parametrize("fmt", SUPPORTED_OUTPUT_FORMATS)
+def test_output_data_formats(fmt):
     # Not specifying data format shouldn't create an output directory
     api.get_city_air("london")
     assert not DEFAULT_OUTPUT_FOLDER.exists()
 
-    # Output files should be made
-    for fmt in ["xlsx", "csv", "json"]:
-        api.get_city_air("london", data_format=fmt)
-        assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
+    api.get_city_air("london", data_format=fmt)
+    assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
diff --git a/tests/test_get_city_forecast.py b/tests/test_get_city_forecast.py
index a456dae..c60a238 100644
--- a/tests/test_get_city_forecast.py
+++ b/tests/test_get_city_forecast.py
@@ -2,7 +2,12 @@
 import pandas.api.types as pd_types
 import pytest
 
-from utils import api, DEFAULT_OUTPUT_FOLDER, DEFAULT_OUTPUT_FILE
+from utils import (
+    api,
+    DEFAULT_OUTPUT_FOLDER,
+    DEFAULT_OUTPUT_FILE,
+    SUPPORTED_OUTPUT_FORMATS,
+)
 
 
 @pytest.mark.vcr
@@ -15,20 +20,17 @@ def test_return_value_and_format():
 
 
 @pytest.mark.vcr
-def test_index_and_column_types():
+def test_column_types():
     result = api.get_city_forecast("london")
 
-    # The index contains date information
-    assert pd_types.is_datetime64_any_dtype(result.index)
+    # The date column contains date information
+    assert pd_types.is_datetime64_any_dtype(result["date"])
 
     # Check that all pollutants and statistics are in column
+    # and are of float type
     for param in ["pm25", "pm10", "o3", "uvi"]:
         for stat in ["min", "max", "avg"]:
-            assert (param, stat) in result
-
-    # Check that all columns are of float type
-    for col in result:
-        assert pd_types.is_float_dtype(result[col])
+            assert pd_types.is_float_dtype(result[(param, stat)])
 
 
 @pytest.mark.vcr
@@ -42,7 +44,7 @@ def test_bad_city_input():
 
 
 @pytest.mark.vcr
-def test_bad_data_format_input():
+def test_output_data_format_bad_input():
     with pytest.raises(Exception, match="Invalid file format"):
         api.get_city_forecast("london", data_format="a definitely wrong data format")
 
@@ -51,12 +53,12 @@ def test_bad_data_format_input():
 
 
 @pytest.mark.vcr
-def test_correct_data_format_input():
+@pytest.mark.parametrize("fmt", SUPPORTED_OUTPUT_FORMATS)
+def test_output_data_formats(fmt):
     # Not specifying data format shouldn't create an output directory
     api.get_city_forecast("london")
     assert not DEFAULT_OUTPUT_FOLDER.exists()
 
     # Output files should be made
-    for fmt in ["xlsx", "csv", "json"]:
-        api.get_city_air("london", data_format=fmt)
-        assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
+    api.get_city_air("london", data_format=fmt)
+    assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
diff --git a/tests/test_get_coordinate_air.py b/tests/test_get_coordinate_air.py
index 6114749..a31c6c3 100644
--- a/tests/test_get_coordinate_air.py
+++ b/tests/test_get_coordinate_air.py
@@ -3,7 +3,12 @@
 import pandas.api.types as pd_types
 import pytest
 
-from utils import api, DEFAULT_OUTPUT_FOLDER, DEFAULT_OUTPUT_FILE
+from utils import (
+    api,
+    DEFAULT_OUTPUT_FOLDER,
+    DEFAULT_OUTPUT_FILE,
+    SUPPORTED_OUTPUT_FORMATS,
+)
 
 
 @pytest.mark.vcr
@@ -98,7 +103,7 @@ def test_bad_coordinates():
 
 
 @pytest.mark.vcr
-def test_bad_data_format():
+def test_output_data_format_bad():
     with pytest.raises(Exception, match="Invalid file format"):
         api.get_coordinate_air(
             51.51, -0.13, data_format="a definitely wrong data format"
@@ -109,7 +114,8 @@ def test_bad_data_format():
 
 
 @pytest.mark.vcr
-def test_output_formats():
+@pytest.mark.parametrize("fmt", SUPPORTED_OUTPUT_FORMATS)
+def test_output_data_formats(fmt):
     # Not specifying data format shouldn't create an output directory
     api.get_coordinate_air(51.51, -0.13)
     assert not DEFAULT_OUTPUT_FOLDER.exists()
diff --git a/tests/test_get_historical_data.py b/tests/test_get_historical_data.py
index e16bf1a..d15dc88 100644
--- a/tests/test_get_historical_data.py
+++ b/tests/test_get_historical_data.py
@@ -1,19 +1,25 @@
 import pandas
 import pytest
 
-from utils import api, DEFAULT_OUTPUT_FOLDER, DEFAULT_OUTPUT_FILE
+from utils import (
+    api,
+    DEFAULT_OUTPUT_FOLDER,
+    DEFAULT_OUTPUT_FILE,
+    SUPPORTED_OUTPUT_FORMATS,
+)
 
 
+# Filterwarnings from: https://stackoverflow.com/a/58645998/11316205
 @pytest.mark.vcr
-@pytest.mark.filterwarnings(
-    "ignore::UserWarning"
-)  # https://stackoverflow.com/a/58645998/11316205
+@pytest.mark.slow
+@pytest.mark.filterwarnings("ignore::UserWarning")
 def test_return_value_and_format():
     result = api.get_historical_data(city="london")
     assert isinstance(result, pandas.DataFrame)
 
 
 @pytest.mark.vcr
+@pytest.mark.slow
 def test_warnings_on_input_combo():
     with pytest.warns(UserWarning, match="city_id was not supplied"):
         api.get_historical_data(city="london")
@@ -32,13 +38,14 @@ def test_arguments_not_named():
 
 
 @pytest.mark.vcr
+@pytest.mark.slow
+@pytest.mark.parametrize("fmt", SUPPORTED_OUTPUT_FORMATS)
 @pytest.mark.filterwarnings("ignore::UserWarning")
-def test_correct_data_format():
+def test_output_data_formats(fmt):
     # Not specifying data format shouldn't create an output directory
     api.get_historical_data(city_id=5724)
     assert not DEFAULT_OUTPUT_FOLDER.exists()
 
     # Check that output file is made
-    for fmt in ["xlsx", "csv", "json"]:
-        api.get_historical_data(city="london", data_format=fmt)
-        assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
+    api.get_historical_data(city="london", data_format=fmt)
+    assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
diff --git a/tests/test_get_multiple_city_air.py b/tests/test_get_multiple_city_air.py
index 792a3ca..a888205 100644
--- a/tests/test_get_multiple_city_air.py
+++ b/tests/test_get_multiple_city_air.py
@@ -3,7 +3,12 @@
 import pandas.api.types as pd_types
 import pytest
 
-from utils import api, DEFAULT_OUTPUT_FOLDER, DEFAULT_OUTPUT_FILE
+from utils import (
+    api,
+    DEFAULT_OUTPUT_FOLDER,
+    DEFAULT_OUTPUT_FILE,
+    SUPPORTED_OUTPUT_FORMATS,
+)
 
 
 @pytest.mark.vcr
@@ -93,7 +98,7 @@ def test_bad_city():
 
 
 @pytest.mark.vcr
-def test_bad_data_format():
+def test_output_data_format_bad():
     with pytest.raises(Exception, match="Invalid file format"):
         api.get_multiple_city_air(
             ["london", "new delhi", "paris"],
@@ -105,12 +110,12 @@ def test_bad_data_format():
 
 
 @pytest.mark.vcr
-def test_correct_data_format():
+@pytest.mark.parametrize("fmt", SUPPORTED_OUTPUT_FORMATS)
+def test_output_data_formats(fmt):
     # Not specifying data format shouldn't create an output directory
     api.get_multiple_city_air(["london", "new delhi", "paris"])
     assert not DEFAULT_OUTPUT_FOLDER.exists()
 
     # Output files should be made
-    for fmt in ["xlsx", "csv", "json"]:
-        api.get_multiple_city_air(["london", "new delhi", "paris"], data_format=fmt)
-        assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
+    api.get_multiple_city_air(["london", "new delhi", "paris"], data_format=fmt)
+    assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
diff --git a/tests/test_get_multiple_coordinate_air.py b/tests/test_get_multiple_coordinate_air.py
index b5efbf3..976a59c 100644
--- a/tests/test_get_multiple_coordinate_air.py
+++ b/tests/test_get_multiple_coordinate_air.py
@@ -3,7 +3,12 @@
 import pandas.api.types as pd_types
 import pytest
 
-from utils import api, DEFAULT_OUTPUT_FOLDER, DEFAULT_OUTPUT_FILE
+from utils import (
+    api,
+    DEFAULT_OUTPUT_FOLDER,
+    DEFAULT_OUTPUT_FILE,
+    SUPPORTED_OUTPUT_FORMATS,
+)
 
 COORDS = [(0, 0), (50, 0), (40, -75)]
 
@@ -94,7 +99,7 @@ def test_bad_coordinates():
 
 
 @pytest.mark.vcr
-def test_bad_data_format():
+def test_output_data_format_bad():
     with pytest.raises(Exception, match="Invalid file format"):
         api.get_multiple_coordinate_air(
             COORDS, data_format="a definitely wrong data format"
@@ -105,13 +110,13 @@ def test_bad_data_format():
 
 
 @pytest.mark.vcr
-def test_output_formats():
+@pytest.mark.parametrize("fmt", SUPPORTED_OUTPUT_FORMATS)
+def test_output_data_formats(fmt):
 
     # Not specifying data format shouldn't create an output directory
     api.get_multiple_coordinate_air(COORDS)
     assert not DEFAULT_OUTPUT_FOLDER.exists()
 
     # Check that output file is made
-    for fmt in ["xlsx", "csv", "json"]:
-        api.get_multiple_coordinate_air(COORDS, data_format=fmt)
-        assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
+    api.get_multiple_coordinate_air(COORDS, data_format=fmt)
+    assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
diff --git a/tests/test_get_range_coordinates_air.py b/tests/test_get_range_coordinates_air.py
index 5222454..44bcaf8 100644
--- a/tests/test_get_range_coordinates_air.py
+++ b/tests/test_get_range_coordinates_air.py
@@ -3,7 +3,12 @@
 import pandas.api.types as pd_types
 import pytest
 
-from utils import api, DEFAULT_OUTPUT_FOLDER, DEFAULT_OUTPUT_FILE
+from utils import (
+    api,
+    DEFAULT_OUTPUT_FOLDER,
+    DEFAULT_OUTPUT_FILE,
+    SUPPORTED_OUTPUT_FORMATS,
+)
 
 LOWER_BOUND = (51, -0.2)
 UPPER_BOUND = (52, 1)
@@ -92,7 +97,7 @@ def test_bad_coordinates():
 
 
 @pytest.mark.vcr
-def test_bad_data_format():
+def test_output_data_format_bad():
     with pytest.raises(Exception, match="Invalid file format"):
         api.get_range_coordinates_air(
             LOWER_BOUND, UPPER_BOUND, data_format="a definitely wrong data format"
@@ -103,13 +108,13 @@ def test_bad_data_format():
 
 
 @pytest.mark.vcr
-def test_output_formats():
+@pytest.mark.parametrize("fmt", SUPPORTED_OUTPUT_FORMATS)
+def test_output_data_formats(fmt):
 
     # Not specifying data format shouldn't create an output directory
     api.get_range_coordinates_air(LOWER_BOUND, UPPER_BOUND)
     assert not DEFAULT_OUTPUT_FOLDER.exists()
 
     # Check that output file is made
-    for fmt in ["xlsx", "csv", "json"]:
-        api.get_range_coordinates_air(LOWER_BOUND, UPPER_BOUND, data_format=fmt)
-        assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
+    api.get_range_coordinates_air(LOWER_BOUND, UPPER_BOUND, data_format=fmt)
+    assert DEFAULT_OUTPUT_FILE.with_suffix(f".{fmt}").is_file()
diff --git a/tests/utils.py b/tests/utils.py
index eca4b93..1f41088 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -40,5 +40,7 @@ def before_record_response(response):
 
 # Declare these here to be used globally
 # instead of repeatedly in each test file
+SUPPORTED_OUTPUT_FORMATS = ["csv", "xlsx", "json"]
+
 DEFAULT_OUTPUT_FOLDER = Path("ozone_output")
-DEFAULT_OUTPUT_FILE = DEFAULT_OUTPUT_FOLDER / "air_quality_data"
+DEFAULT_OUTPUT_FILE = DEFAULT_OUTPUT_FOLDER / "air_quality"