Python numericalAnalysis Examples

Example #1

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)]

Example #2

def test_numeric_range():
    test_series = df['col1']
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["range"] == (test_series.max() - test_series.min())

Example #3

def test_numeric_unique_count():
    test_series = df['col1']
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["unique_count"] == 4

Example #4

def test_numeric_upperQ():
    test_series = df['col1']
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["75%"] == test_series.quantile(0.75)

Example #5

def test_numeric_middleQ():
    test_series = df['col1']
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["50%"] == test_series.quantile(0.50)

Example #6

File: test_analyze_module.py Project: SeldonIO/seldon-ucl

def test_numeric_mean():
    test_series = df["col1"]
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["mean"] == test_series.mean()

Example #7

def test_numeric_mean():
    test_series = df['col1']
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["mean"] == test_series.mean()

Example #8

File: test_analyze_module.py Project: SeldonIO/seldon-ucl

def test_numeric_mode():
    test_series = df["col1"]
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["mode"] == [3]

Example #9

File: test_analyze_module.py Project: SeldonIO/seldon-ucl

def test_numeric_mode_count():
    test_series = df["col1"]
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["mode_frequency"] == 3

Example #10

File: test_analyze_module.py Project: SeldonIO/seldon-ucl

def test_numeric_unique_count():
    test_series = df["col1"]
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["unique_count"] == 4

Example #11

File: test_analyze_module.py Project: SeldonIO/seldon-ucl

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)]

Example #12

File: test_analyze_module.py Project: SeldonIO/seldon-ucl

def test_numeric_range():
    test_series = df["col1"]
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["range"] == (test_series.max() - test_series.min())

Example #13

File: test_analyze_module.py Project: SeldonIO/seldon-ucl

def test_numeric_middleQ():
    test_series = df["col1"]
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["50%"] == test_series.quantile(0.50)

Example #14

File: test_analyze_module.py Project: SeldonIO/seldon-ucl

def test_numeric_upperQ():
    test_series = df["col1"]
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["75%"] == test_series.quantile(0.75)

Example #15

def test_numeric_mode():
    test_series = df['col1']
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["mode"] == [3]

Example #16

def test_numeric_sd():
    test_series = df['col1']
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["std"] == test_series.std()

Example #17

def test_numeric_mode_count():
    test_series = df['col1']
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["mode_frequency"] == 3

Example #18

File: test_analyze_module.py Project: SeldonIO/seldon-ucl

def test_numeric_sd():
    test_series = df["col1"]
    test_analysis = analyze.numericalAnalysis(test_series)
    assert test_analysis["std"] == test_series.std()