Add excel to report dataset

benchmark/Datasets.py

@@ -1,5 +1,6 @@
 import os
 import pandas as pd
+import numpy as np
 from scipy.io import arff
 from .Utils import Files
 from .Arguments import EnvData
@@ -40,9 +41,6 @@ class DatasetsArff:
 
 
 class DatasetsTanveer:
-    def __init__(self, discretized):
-        self.discretized = discretized
-
     @staticmethod
     def dataset_names(name):
         return f"{name}_R.dat"
@@ -127,6 +125,24 @@ class Datasets:
             self.data_sets = result
             self.class_names = class_names
 
+    def get_attributes(self, name):
+        class Attributes:
+            pass
+
+        X, y = self.load_continuous(name)
+        attr = Attributes()
+        values, counts = np.unique(y, return_counts=True)
+        comp = ""
+        sep = ""
+        for count in counts:
+            comp += f"{sep}{count/sum(counts)*100:5.2f}%"
+            sep = "/ "
+        attr.balance = comp
+        attr.classes = len(np.unique(y))
+        attr.samples = X.shape[0]
+        attr.features = X.shape[1]
+        return attr
+
     def get_features(self):
         return self.dataset.features
 

benchmark/Results.py

@@ -1,4 +1,5 @@
 import os
+import sys
 from operator import itemgetter
 import math
 import json
@@ -17,6 +18,7 @@ from .Utils import (
     TextColor,
     NO_RESULTS,
 )
+from ._version import __version__
 
 
 class BestResultsEver:
@@ -566,37 +568,247 @@ class Excel(BaseReport):
             self.sheet.set_row(c, 20)
         self.sheet.set_row(0, 25)
         self.sheet.freeze_panes(6, 1)
-        self.sheet.hide_gridlines()
+        self.sheet.hide_gridlines(2)
         if self.close:
             self.book.close()
 
 
 class ReportDatasets:
+    row = 6
+    # alternate lines colors
+    color1 = "#DCE6F1"
+    color2 = "#FDE9D9"
+    color3 = "#B1A0C7"
+
+    def __init__(self, excel, book=None):
+        self.excel = excel
+        self.env = EnvData().load()
+        self.close = False
+        self.output = True
+        self.header_text = f"Datasets used in benchmark ver. {__version__}"
+        if excel:
+            self.max_length = 0
+            if book is None:
+                self.excel_file_name = "ReportDatasets.xlsx"
+                self.book = xlsxwriter.Workbook(
+                    self.excel_file_name, {"nan_inf_to_errors": True}
+                )
+                self.set_properties(self.get_title())
+                self.close = True
+            else:
+                self.book = book
+                self.output = False
+            self.sheet = self.book.add_worksheet("Datasets")
+
+    def set_properties(self, title):
+        self.book.set_properties(
+            {
+                "title": title,
+                "subject": "Machine learning results",
+                "author": "Ricardo Montañana Gómez",
+                "manager": "Dr. J. A. Gámez, Dr. J. M. Puerta",
+                "company": "UCLM",
+                "comments": "Created with Python and XlsxWriter",
+            }
+        )
+
     @staticmethod
-    def report():
+    def get_python_version():
+        return "{}.{}".format(sys.version_info.major, sys.version_info.minor)
+
+    def get_title(self):
+        return (
+            f" Benchmark ver. {__version__} - "
+            f" Python ver. {self.get_python_version()}"
+            f" with {self.env['n_folds']} Folds cross validation "
+            f" Discretization: {self.env['discretize']}  "
+            f"Stratification: {self.env['stratified']}"
+        )
+
+    def get_file_name(self):
+        return self.excel_file_name
+
+    def header(self):
+        merge_format = self.book.add_format(
+            {
+                "border": 1,
+                "bold": 1,
+                "align": "center",
+                "valign": "vcenter",
+                "font_size": 18,
+                "bg_color": self.color3,
+            }
+        )
+        merge_format_subheader = self.book.add_format(
+            {
+                "border": 1,
+                "bold": 1,
+                "align": "center",
+                "valign": "vcenter",
+                "font_size": 16,
+                "bg_color": self.color1,
+            }
+        )
+        merge_format_subheader_right = self.book.add_format(
+            {
+                "border": 1,
+                "bold": 1,
+                "align": "right",
+                "valign": "vcenter",
+                "font_size": 16,
+                "bg_color": self.color1,
+            }
+        )
+        merge_format_subheader_left = self.book.add_format(
+            {
+                "border": 1,
+                "bold": 1,
+                "align": "left",
+                "valign": "vcenter",
+                "font_size": 16,
+                "bg_color": self.color1,
+            }
+        )
+        self.sheet.merge_range(0, 0, 0, 4, self.header_text, merge_format)
+        self.sheet.merge_range(
+            1,
+            0,
+            4,
+            0,
+            f" Default score {self.env['score']}",
+            merge_format_subheader,
+        )
+        self.sheet.merge_range(
+            1,
+            1,
+            1,
+            3,
+            "Cross validation",
+            merge_format_subheader_right,
+        )
+        self.sheet.write(
+            1, 4, f"{self.env['n_folds']} Folds", merge_format_subheader_left
+        )
+        self.sheet.merge_range(
+            2,
+            1,
+            2,
+            3,
+            "Stratified",
+            merge_format_subheader_right,
+        )
+        self.sheet.write(
+            2,
+            4,
+            f"{'True' if self.env['stratified']=='1' else 'False'}",
+            merge_format_subheader_left,
+        )
+        self.sheet.merge_range(
+            3,
+            1,
+            3,
+            3,
+            "Discretized",
+            merge_format_subheader_right,
+        )
+        self.sheet.write(
+            3,
+            4,
+            f"{'True' if self.env['discretize']=='1' else 'False'}",
+            merge_format_subheader_left,
+        )
+        self.sheet.merge_range(
+            4,
+            1,
+            4,
+            3,
+            "Seeds",
+            merge_format_subheader_right,
+        )
+        self.sheet.write(
+            4, 4, f"{self.env['seeds']}", merge_format_subheader_left
+        )
+        header_cols = [
+            ("Dataset", 30),
+            ("Samples", 10),
+            ("Features", 10),
+            ("Classes", 10),
+            ("Balance", 50),
+        ]
+        bold = self.book.add_format(
+            {
+                "bold": True,
+                "font_size": 14,
+                "bg_color": self.color3,
+                "border": 1,
+            }
+        )
+        i = 0
+        for item, length in header_cols:
+            self.sheet.write(5, i, item, bold)
+            self.sheet.set_column(i, i, length)
+            i += 1
+
+    def footer(self):
+        # set Balance column width to max length
+        self.sheet.set_column(4, 4, self.max_length)
+        self.sheet.freeze_panes(6, 1)
+        self.sheet.hide_gridlines(2)
+        if self.close:
+            self.book.close()
+
+    def print_line(self, result):
+        size_n = 14
+        integer = self.book.add_format(
+            {"num_format": "#,###", "font_size": size_n, "border": 1}
+        )
+        normal = self.book.add_format({"font_size": size_n, "border": 1})
+        col = 0
+        if self.row % 2 == 0:
+            normal.set_bg_color(self.color1)
+            integer.set_bg_color(self.color1)
+        else:
+            normal.set_bg_color(self.color2)
+            integer.set_bg_color(self.color2)
+        self.sheet.write(self.row, col, result.dataset, normal)
+        self.sheet.write(self.row, col + 1, result.samples, integer)
+        self.sheet.write(self.row, col + 2, result.features, integer)
+        self.sheet.write(self.row, col + 3, result.classes, normal)
+        self.sheet.write(self.row, col + 4, result.balance, normal)
+        if len(result.balance) > self.max_length:
+            self.max_length = len(result.balance)
+        self.row += 1
+
+    def report(self):
         data_sets = Datasets()
         color_line = TextColor.LINE1
-        print(color_line, end="")
+        if self.excel:
-        print(f"{'Dataset':30s} Sampl. Feat. Cls Balance")
+            self.header()
-        print("=" * 30 + " ===== ====== === " + "=" * 40)
+        if self.output:
+            print(color_line, end="")
+            print(self.header_text)
+            print("")
+            print(f"{'Dataset':30s} Sampl. Feat. Cls Balance")
+            print("=" * 30 + " ===== ====== === " + "=" * 60)
         for dataset in data_sets:
-            X, y = data_sets.load(dataset)
+            attributes = data_sets.get_attributes(dataset)
+            attributes.dataset = dataset
+            if self.excel:
+                self.print_line(attributes)
             color_line = (
                 TextColor.LINE2
                 if color_line == TextColor.LINE1
                 else TextColor.LINE1
             )
-            values, counts = np.unique(y, return_counts=True)
+            if self.output:
-            comp = ""
+                print(color_line, end="")
-            sep = ""
+                print(
-            for count in counts:
+                    f"{dataset:30s} {attributes.samples:6,d} "
-                comp += f"{sep}{count/sum(counts)*100:5.2f}%"
+                    f"{attributes.features:5,d} {attributes.classes:3d} "
-                sep = "/ "
+                    f"{attributes.balance:40s}"
-            print(color_line, end="")
+                )
-            print(
+        if self.excel:
-                f"{dataset:30s} {X.shape[0]:6,d} {X.shape[1]:5,d} "
+            self.footer()
-                f"{len(np.unique(y)):3d} {comp:40s}"
-            )
 
 
 class SQL(BaseReport):
@@ -1043,7 +1255,8 @@ class Benchmark:
             sheet.merge_range(row, 0, row + 1, 0, "Model", merge_format)
             sheet.merge_range(row, 1, row + 1, 5, "File", merge_format)
             sheet.merge_range(row, 6, row + 1, 6, "Score", merge_format)
-            row += 1
+            sheet.freeze_panes(6, 1)
+            sheet.hide_gridlines(2)
             d_name = next(iter(self._datasets))
             for model in self._models:
                 file_name = self._report[model][d_name]["file_name"]
@@ -1067,8 +1280,10 @@ class Benchmark:
                 )
                 k = Excel(file_name=file_name, book=book)
                 k.report()
-            sheet.freeze_panes(6, 1)
+
-            sheet.hide_gridlines()
+            # Add datasets sheet
+            re = ReportDatasets(excel=True, book=book)
+            re.report()
 
         def exreport_output():
             file_name = os.path.join(

benchmark/__init__.py

@@ -6,10 +6,11 @@ from .Datasets import (
 )
 from .Experiments import Experiment
 from .Results import Report, Summary
+from ._version import __version__
 
 __author__ = "Ricardo Montañana Gómez"
-__copyright__ = "Copyright 2020-2022, Ricardo Montañana Gómez"
+__copyright__ = "Copyright 2020-2023, Ricardo Montañana Gómez"
 __license__ = "MIT License"
 __author_email__ = "ricardo.montanana@alu.uclm.es"
 
-__all__ = ["Experiment", "Datasets", "Report", "Summary"]
+__all__ = ["Experiment", "Datasets", "Report", "Summary", __version__]

benchmark/_version

@@ -0,0 +1 @@
+__version__ = "0.7.1"

benchmark/scripts/be_report.py

@@ -21,7 +21,11 @@ def main(args_test=None):
     if args.grid:
         args.best = None
     if args.file is None and args.best is None and args.grid is None:
-        ReportDatasets.report()
+        report = ReportDatasets(args.excel)
+        report.report()
+        if args.excel:
+            is_test = args_test is not None
+            Files.open(report.get_file_name(), is_test)
     else:
         if args.best is not None or args.grid is not None:
             report = ReportBest(args.score, args.model, args.best, args.grid)