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''' |
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Utilities and auxiliary functions. |
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:author: Andreas Kanz |
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''' |
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# Imports |
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import pandas as pd |
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def _memory_usage(data): |
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''' |
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Gives the total memory usage in kilobytes. |
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Parameters |
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---------- |
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data: 2D dataset that can be coerced into Pandas DataFrame. If a Pandas DataFrame is provided, the index/column \ |
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information is used to label the plots. |
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Returns |
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------- |
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memory_usage: float |
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''' |
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data = pd.DataFrame(data) |
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memory_usage = round(data.memory_usage(index=True, deep=True).sum()/1024, 2) |
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return memory_usage |
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def _missing_vals(data): |
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''' |
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Gives metrics of missing values in the dataset. |
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Parameters |
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---------- |
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data: 2D dataset that can be coerced into Pandas DataFrame. If a Pandas DataFrame is provided, the index/column \ |
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information is used to label the plots. |
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Returns |
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------- |
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mv_total: float, number of missing values in the entire dataset |
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mv_rows: float, number of missing values in each row |
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mv_cols: float, number of missing values in each column |
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mv_rows_ratio: float, ratio of missing values for each row |
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mv_cols_ratio: float, ratio of missing values for each column |
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''' |
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data = pd.DataFrame(data) |
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mv_rows = data.isna().sum(axis=1) |
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mv_cols = data.isna().sum(axis=0) |
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mv_total = data.isna().sum().sum() |
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mv_rows_ratio = mv_rows/data.shape[1] |
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mv_cols_ratio = mv_cols/data.shape[0] |
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return {'mv_total': mv_total, |
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'mv_rows': mv_rows, |
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'mv_cols': mv_cols, |
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'mv_rows_ratio': mv_rows_ratio, |
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'mv_cols_ratio': mv_cols_ratio} |
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def _validate_input_0_1(value, desc): |
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if value < 0 or value > 1: |
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raise ValueError(f'Input value for {desc} is {value} but should be a float in the range 0 <= {desc} <=1.') |
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akanz1 /
klib
