def test_create_date_plot_invalid_max_seconds(self):
"""
The function `create_date_plot` shall create and save a plot with default max and min seconds when provided
an invalid max seconds value.
"""
my_csv = 'player_box_scores.csv'
df = Api.get_existing_data_frame(my_csv, logger=self.logger)
plot_path, _, _ = Api.create_date_plot(player='Anthony Davis',
y_key='points',
df=df,
save_path=self.logs_dir,
max_seconds='a')
self.assertTrue('Max/Min seconds incorrect type' in plot_path)
def test_create_date_plot_player_substring(self):
"""
The function `create_date_plot` shall return a plot path of invalid player name when given a substring of a
player name that exists in the pandas.DataFrame object provided.
"""
my_csv = 'player_box_scores.csv'
df = Api.get_existing_data_frame(my_csv, logger=self.logger)
plot_path, _, _ = Api.create_date_plot(player='Anthony',
y_key='points',
df=df,
save_path=self.logs_dir,
grid='both')
self.assertEqual(plot_path, 'Invalid player name of Anthony')
def test_create_date_plot_invalid_grid(self):
"""
The function `create_date_plot` shall create and save a date plot with a default grid when provided
with nominal data and grid is not one of the following: both, x, or y.
"""
my_csv = 'player_box_scores.csv'
df = Api.get_existing_data_frame(my_csv, logger=self.logger)
plot_path, _, _ = Api.create_date_plot(player='Anthony Davis',
y_key='points',
df=df,
save_path=self.logs_dir,
grid='BAD')
self.assertTrue(os.path.exists('%s.png' % plot_path))
def test_create_date_plot_y_grid(self):
"""
The function `create_date_plot` shall create and save a date plot with a y axis grid only when provided
with nominal data and grid = 'y'.
"""
my_csv = 'player_box_scores.csv'
df = Api.get_existing_data_frame(my_csv, logger=self.logger)
plot_path, _, _ = Api.create_date_plot(player='Anthony Davis',
y_key='points',
df=df,
save_path=self.logs_dir,
grid='y')
self.assertTrue(os.path.exists('%s.png' % plot_path))
def test_create_date_plot_nominal(self):
"""
The function `create_date_plot` shall create and save a date plot when provided nominal data.
"""
my_csv = 'player_box_scores.csv'
df = Api.get_existing_data_frame(my_csv, logger=self.logger)
plot_path, outlier_df, _ = Api.create_date_plot(
player='Anthony Davis',
y_key='points',
df=df,
save_path=self.logs_dir)
self.assertTrue(os.path.exists('%s.png' % plot_path))
self.assertEqual(5, outlier_df.shape[0])
def test_create_date_plot_outlier_count(self):
"""
The function `create_date_plot` shall create and save a plot at the desired location and create a
pandas.DataFrame object holding the desired number of outlier points.
"""
my_csv = 'player_box_scores.csv'
df = Api.get_existing_data_frame(my_csv, logger=self.logger)
plot_path, outlier_df, _ = Api.create_date_plot(
player='Anthony Davis',
y_key='points',
df=df,
num_outliers=8,
save_path=self.logs_dir)
self.assertTrue(os.path.exists('%s.png' % plot_path))
self.assertEqual(8, outlier_df.shape[0])
def test_create_date_plot_nominal_params(self):
"""
The function `create_date_plot` shall create and save a date plot when provided nominal data and optional
**kwarg arguments.
"""
my_csv = 'player_box_scores.csv'
df = Api.get_existing_data_frame(my_csv, logger=self.logger)
plot_path, _, _ = Api.create_date_plot(player='Anthony Davis',
y_key='points',
df=df,
save_path=self.logs_dir,
min_seconds=300,
max_seconds=2200,
num_outliers=7,
grid='x',
mean_line=False)
self.assertTrue(os.path.exists('%s.png' % plot_path))
