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Update docs in eda_utils_py.py
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eda_utils_py/eda_utils_py.py

Lines changed: 16 additions & 17 deletions
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@@ -216,19 +216,19 @@ def outlier_identifier(dataframe, columns=None, method="trim"):
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>> 'SepalLengthCm' : [5.1, 4.9, 4.7, 5.5, 5.1, 50, 5.4, 5.0, 5.2, 5.3, 5.1],
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>> 'SepalWidthCm' : [1.4, 1.4, 20, 2.0, 0.7, 1.6, 1.2, 1.4, 1.8, 1.5, 2.1],
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>> 'PetalWidthCm' : [0.2, 0.2, 0.2, 0.3, 0.4, 0.5, 0.5, 0.6, 0.4, 0.2, 5]
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>>})
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>> })
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>> outlier_identifier(data)
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>> SepalLengthCm SepalWidthCm PetalWidthCm
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>> 0 5.1 1.4 0.2
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>> 1 4.9 1.4 0.2
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>> 2 5.5 2.0 0.3
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>> 3 5.1 0.7 0.4
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>> 4 5.4 1.2 0.5
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>> 5 5.0 1.4 0.6
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>> 6 5.2 1.8 0.4
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>> 7 5.3 1.5 0.2
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SepalLengthCm SepalWidthCm PetalWidthCm
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0 5.1 1.4 0.2
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1 4.9 1.4 0.2
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2 5.5 2.0 0.3
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3 5.1 0.7 0.4
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4 5.4 1.2 0.5
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5 5.0 1.4 0.6
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6 5.2 1.8 0.4
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7 5.3 1.5 0.2
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"""
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if not isinstance(dataframe, pd.DataFrame):
@@ -325,13 +325,12 @@ def scale(dataframe, columns, scaler="standard"):
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>> numerical_columns = ['SepalLengthCm','SepalWidthCm','PetalWidthCm']
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>> scale(data, numerical_columns, scaler="minmax")
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>> SepalLengthCm SepalWidthCm PetalWidthCm
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>> 0 0.25 1.00 1.0
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>> 1 0.00 0.25 0.0
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>> 2 0.00 0.25 0.0
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>> 3 0.75 0.00 1.0
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>> 4 1.00 0.25 0.5
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SepalLengthCm SepalWidthCm PetalWidthCm
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0 0.25 1.00 1.0
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1 0.00 0.25 0.0
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2 0.00 0.25 0.0
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3 0.75 0.00 1.0
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4 1.00 0.25 0.5
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"""
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# Check if input data is of pd.DataFrame type

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