annotate table_pandas_arithmetics.py @ 0:3f54cd56a65e draft default tip

planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/tables commit d0ff40eb2b536fec6c973c3a9ea8e7f31cd9a0d6
author recetox
date Wed, 29 Jan 2025 15:35:31 +0000
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3f54cd56a65e planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/tables commit d0ff40eb2b536fec6c973c3a9ea8e7f31cd9a0d6
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1 import argparse
3f54cd56a65e planemo upload for repository https://github.com/RECETOX/galaxytools/tree/master/tools/tables commit d0ff40eb2b536fec6c973c3a9ea8e7f31cd9a0d6
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2 import logging
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3 from typing import List, Tuple
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6 import numpy as np
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7 import pandas as pd
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8 from utils import LoadDataAction, SplitColumnIndicesAction, StoreOutputAction
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11 # Constants for operations
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12 OPERATIONS = {
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13 "mul": np.multiply,
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14 "sub": np.subtract,
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15 "div": np.divide,
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16 "add": np.add,
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17 "pow": np.power,
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18 }
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21 def perform_operation(df: pd.DataFrame, column_indices: List[int], operation: str, operand: float):
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22 """
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23 Perform the specified arithmetic operation on the given columns of the dataframe.
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25 Parameters:
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26 df (pd.DataFrame): The input dataframe.
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27 column_indices (list): The 0-based indices of the columns to perform the operation on.
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28 operation (str): The arithmetic operation to perform.
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29 operand (float): The operand for the arithmetic operation.
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30
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31 Returns:
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32 pd.DataFrame: The dataframe with the operation applied.
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33 """
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34 for column_index in column_indices:
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35 column_name = df.columns[column_index]
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36 df[column_name] = OPERATIONS[operation](df[column_name], operand)
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37 return df
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38
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39
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40 def main(input_dataset: pd.DataFrame, column_indices: List[int], operation: str, operand: float, output_dataset: Tuple[callable, str]):
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41 """
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42 Main function to load the dataset, perform the operation, and save the result.
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43
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44 Parameters:
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45 input_dataset (tuple): The input dataset and its file extension.
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46 column_indices (list): The 0-based indices of the columns to perform the operation on.
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47 operation (str): The arithmetic operation to perform.
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48 operand (float): The operand for the arithmetic operation.
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49 output_dataset (tuple): The output dataset and its file extension.
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50 """
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51 try:
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52 df = perform_operation(input_dataset, column_indices, operation, operand)
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53 write_func, file_path = output_dataset
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54 write_func(df, file_path)
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55 except Exception as e:
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56 logging.error(f"Error in main function: {e}")
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57 raise
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58
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59
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60 if __name__ == "__main__":
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61 logging.basicConfig(level=logging.INFO)
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62 parser = argparse.ArgumentParser(
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63 description="Perform arithmetic operations on dataframe columns."
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64 )
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65 parser.add_argument(
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66 "--input_dataset",
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67 nargs=2,
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68 action=LoadDataAction,
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69 required=True,
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70 help="Path to the input dataset and its file extension (csv, tsv, parquet)",
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71 )
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72 parser.add_argument(
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73 "--columns",
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74 action=SplitColumnIndicesAction,
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75 required=True,
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76 help="Comma-separated list of 1-based indices of the columns to perform the operation on",
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77 )
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78 parser.add_argument(
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79 "--operation",
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80 type=str,
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81 choices=OPERATIONS.keys(),
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82 required=True,
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83 help="Arithmetic operation to perform",
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84 )
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85 parser.add_argument(
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86 "--operand",
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87 type=float,
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88 required=True,
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89 help="Operand for the arithmetic operation",
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90 )
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91 parser.add_argument(
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92 "--output_dataset",
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93 nargs=2,
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94 action=StoreOutputAction,
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95 required=True,
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96 help="Path to the output dataset and its file extension (csv, tsv, parquet)",
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97 )
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98
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99 args = parser.parse_args()
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100 main(
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101 args.input_dataset,
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102 args.columns,
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103 args.operation,
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104 args.operand,
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105 args.output_dataset,
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106 )