def test_numeric_frequencies():
test_series = df['col1']
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["frequencies"] == [(3, 3), (2, 3), (4, 1), (1, 1)]
def test_numeric_range():
test_series = df['col1']
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["range"] == (test_series.max() - test_series.min())
def test_numeric_unique_count():
test_series = df['col1']
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["unique_count"] == 4
def test_numeric_upperQ():
test_series = df['col1']
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["75%"] == test_series.quantile(0.75)
def test_numeric_middleQ():
test_series = df['col1']
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["50%"] == test_series.quantile(0.50)
def test_numeric_mean():
test_series = df["col1"]
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["mean"] == test_series.mean()
def test_numeric_mean():
test_series = df['col1']
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["mean"] == test_series.mean()
def test_numeric_mode():
test_series = df["col1"]
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["mode"] == [3]
def test_numeric_mode_count():
test_series = df["col1"]
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["mode_frequency"] == 3
def test_numeric_unique_count():
test_series = df["col1"]
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["unique_count"] == 4
def test_numeric_frequencies():
test_series = df["col1"]
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["frequencies"] == [(3, 3), (2, 3), (4, 1), (1, 1)]
def test_numeric_range():
test_series = df["col1"]
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["range"] == (test_series.max() - test_series.min())
def test_numeric_middleQ():
test_series = df["col1"]
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["50%"] == test_series.quantile(0.50)
def test_numeric_upperQ():
test_series = df["col1"]
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["75%"] == test_series.quantile(0.75)
def test_numeric_mode():
test_series = df['col1']
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["mode"] == [3]
def test_numeric_sd():
test_series = df['col1']
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["std"] == test_series.std()
def test_numeric_mode_count():
test_series = df['col1']
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["mode_frequency"] == 3
def test_numeric_sd():
test_series = df["col1"]
test_analysis = analyze.numericalAnalysis(test_series)
assert test_analysis["std"] == test_series.std()
