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‎B/BigEDA/0.0.8-0.0.9/README.md

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# Comparing `tmp/bigeda-0.0.8.tar.gz` & `tmp/bigeda-0.0.9.tar.gz`
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## filetype from file(1)
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```diff
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@@ -1 +1 @@
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-gzip compressed data, was "bigeda-0.0.8.tar", last modified: Fri May 17 15:05:19 2024, max compression
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+gzip compressed data, was "bigeda-0.0.9.tar", last modified: Sat May 18 09:05:50 2024, max compression
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```
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## Comparing `bigeda-0.0.8.tar` & `bigeda-0.0.9.tar`
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### file list
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```diff
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@@ -1,17 +1,17 @@
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-drwxrwxrwx 0 0 0 0 2024-05-17 15:05:19.134920 bigeda-0.0.8/
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-drwxrwxrwx 0 0 0 0 2024-05-17 15:05:19.092647 bigeda-0.0.8/BigEDA/
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--rw-rw-rw- 0 0 0 783 2024-03-31 16:22:20.000000 bigeda-0.0.8/BigEDA/__init__.py
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--rw-rw-rw- 0 0 0 26812 2024-05-17 15:04:09.000000 bigeda-0.0.8/BigEDA/descriptive.py
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--rw-rw-rw- 0 0 0 78541 2024-05-13 23:16:09.000000 bigeda-0.0.8/BigEDA/plots.py
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--rw-rw-rw- 0 0 0 11707 2024-04-14 01:24:57.000000 bigeda-0.0.8/BigEDA/preprocessing.py
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-drwxrwxrwx 0 0 0 0 2024-05-17 15:05:19.131989 bigeda-0.0.8/BigEDA.egg-info/
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--rw-rw-rw- 0 0 0 870 2024-05-17 15:05:18.000000 bigeda-0.0.8/BigEDA.egg-info/PKG-INFO
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--rw-rw-rw- 0 0 0 256 2024-05-17 15:05:18.000000 bigeda-0.0.8/BigEDA.egg-info/SOURCES.txt
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--rw-rw-rw- 0 0 0 1 2024-05-17 15:05:18.000000 bigeda-0.0.8/BigEDA.egg-info/dependency_links.txt
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--rw-rw-rw- 0 0 0 13 2024-05-17 15:05:18.000000 bigeda-0.0.8/BigEDA.egg-info/requires.txt
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--rw-rw-rw- 0 0 0 7 2024-05-17 15:05:18.000000 bigeda-0.0.8/BigEDA.egg-info/top_level.txt
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--rw-rw-rw- 0 0 0 1091 2023-12-09 15:06:56.000000 bigeda-0.0.8/LICENSE
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--rw-rw-rw- 0 0 0 870 2024-05-17 15:05:19.133916 bigeda-0.0.8/PKG-INFO
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--rw-rw-rw- 0 0 0 301 2023-12-09 16:15:51.000000 bigeda-0.0.8/README.md
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--rw-rw-rw- 0 0 0 42 2024-05-17 15:05:19.134920 bigeda-0.0.8/setup.cfg
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--rw-rw-rw- 0 0 0 838 2024-05-17 15:04:39.000000 bigeda-0.0.8/setup.py
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+drwxrwxrwx 0 0 0 0 2024-05-18 09:05:50.387570 bigeda-0.0.9/
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+drwxrwxrwx 0 0 0 0 2024-05-18 09:05:50.342742 bigeda-0.0.9/BigEDA/
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+-rw-rw-rw- 0 0 0 783 2024-03-31 16:22:20.000000 bigeda-0.0.9/BigEDA/__init__.py
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+-rw-rw-rw- 0 0 0 26812 2024-05-17 15:04:09.000000 bigeda-0.0.9/BigEDA/descriptive.py
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+-rw-rw-rw- 0 0 0 78777 2024-05-18 09:03:33.000000 bigeda-0.0.9/BigEDA/plots.py
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+-rw-rw-rw- 0 0 0 11707 2024-04-14 01:24:57.000000 bigeda-0.0.9/BigEDA/preprocessing.py
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+drwxrwxrwx 0 0 0 0 2024-05-18 09:05:50.387166 bigeda-0.0.9/BigEDA.egg-info/
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+-rw-rw-rw- 0 0 0 1043 2024-05-18 09:05:50.000000 bigeda-0.0.9/BigEDA.egg-info/PKG-INFO
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+-rw-rw-rw- 0 0 0 256 2024-05-18 09:05:50.000000 bigeda-0.0.9/BigEDA.egg-info/SOURCES.txt
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+-rw-rw-rw- 0 0 0 1 2024-05-18 09:05:50.000000 bigeda-0.0.9/BigEDA.egg-info/dependency_links.txt
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+-rw-rw-rw- 0 0 0 74 2024-05-18 09:05:50.000000 bigeda-0.0.9/BigEDA.egg-info/requires.txt
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+-rw-rw-rw- 0 0 0 7 2024-05-18 09:05:50.000000 bigeda-0.0.9/BigEDA.egg-info/top_level.txt
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+-rw-rw-rw- 0 0 0 1091 2023-12-09 15:06:56.000000 bigeda-0.0.9/LICENSE
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+-rw-rw-rw- 0 0 0 1043 2024-05-18 09:05:50.387570 bigeda-0.0.9/PKG-INFO
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+-rw-rw-rw- 0 0 0 301 2023-12-09 16:15:51.000000 bigeda-0.0.9/README.md
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+-rw-rw-rw- 0 0 0 42 2024-05-18 09:05:50.387570 bigeda-0.0.9/setup.cfg
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+-rw-rw-rw- 0 0 0 944 2024-05-18 09:05:43.000000 bigeda-0.0.9/setup.py
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```
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### Comparing `bigeda-0.0.8/BigEDA/__init__.py` & `bigeda-0.0.9/BigEDA/__init__.py`
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* *Files identical despite different names*
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### Comparing `bigeda-0.0.8/BigEDA/descriptive.py` & `bigeda-0.0.9/BigEDA/descriptive.py`
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* *Files identical despite different names*
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### Comparing `bigeda-0.0.8/BigEDA/plots.py` & `bigeda-0.0.9/BigEDA/plots.py`
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* *Files 1% similar despite different names*
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```diff
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@@ -180,20 +180,20 @@
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plt.show()
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######################################################################################################################
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def boxplot(X, color, figsize=(9,5), n_xticks=15, x_rotation=0, statistics=None,
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random=False, n=None, fraction=None, seed=123, save=False, file_name=None,
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style='whitegrid', lines_width=0.55, bbox_to_anchor=(0.5,-0.5), legend_size=10,
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- color_stats=None) :
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+ color_stats=None) :
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"""
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Parameters (inputs)
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----------
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- X: a pandas series or a numpy array (the variable).
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+ X: a polars series (the variable).
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bins: number of intervals used to create the histogram (number of bars).
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color: name of the color to be use for the histogram bars.
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figsize: dimensions of the plot. Must be a pair of numbers (a,b), where a indicates the plot width, and b the length.
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rotation: a integer positive number. Indicates the rotation degree of the sticks from the axis.
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get_intervals:If True, the intervals used to create the histogram will be return. If False, not.
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sep: a parameter used for creating the sticks of the x-axis. We recommend using the default value.
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if save == True :
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fig.savefig(file_name + '.jpg', format='jpg', dpi=500)
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plt.show()
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######################################################################################################################
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-def barplot(X, color, categories_order=None, figsize=(9,5), xticks_rotation=0, random=False,
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+def barplot(X, color, orientation='vertical', bar_width=0.5, order=None, figsize=(9,5), xticks_rotation=0, random=False,
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n=None, fraction=None, seed=123, fontsize=10, y_up_limit=1,
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- y_low_limit=0, xticks_fontsize=11, yticks_fontsize=11, xlabel_size=11,
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- ylabel_size=11, ylabel='Relative Frequency', xlabel='',
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- title_size=14, title_weight='bold') :
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+ y_low_limit=0, xticks_fontsize=11, yticks_fontsize=11,
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+ ylabel_size=11, ylabel='Relative Frequency',
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+ xlabel_size=11, xlabel='',
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+ title_size=14, title_weight='bold'):
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"""
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Parameters (inputs)
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----------
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- X: a pandas series or a numpy array (the variable).
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+ X: a polars series.
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color: name of the color to be use for the histogram bars.
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categories_order: a list with X categories order as they will appear in the plot.
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figsize: dimensions of the plot. Must be a pair of numbers (a,b), where a indicates the plot width, and b the length.
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rotation: a integer positive number. Indicates the rotation degree of the sticks from the axis.
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sep: a parameter used for creating the sticks of the x-axis. We recommend using the default value.
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Returns (outputs)
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if isinstance(X, pl.Series):
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X = X.to_pandas()
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# Setting the figure size.
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fig, axs = plt.subplots(figsize=figsize)
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- # Computing the barplot.
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- value_counts = X.value_counts(normalize=True).reindex(categories_order)
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- ax = value_counts.plot(kind='bar', color=color)
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+ X = X.drop_nulls().to_numpy()
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+ unique_values, rel_freq = get_frequencies(X)
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+ unique_values = [str(x) for x in unique_values]
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+ if orientation == 'vertical':
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+ ax = sns.barplot(x=unique_values, y=rel_freq, color=color, width=bar_width, order=order)
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+ elif orientation == 'horizontal':
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+ ax = sns.barplot(x=rel_freq, y=unique_values, color=color, width=bar_width, order=order)
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ax.set_ylabel(ylabel, size=ylabel_size)
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ax.set_xlabel(xlabel, size=xlabel_size)
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plt.xticks(fontsize=xticks_fontsize, rotation=xticks_rotation)
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plt.yticks(fontsize=yticks_fontsize)
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# Setting the title of the plot.
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plt.title(label = 'Bar-plot' + ' ' + X.name, fontsize=title_size, weight=title_weight)
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ax.set_ylim(y_low_limit, y_up_limit)
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# Add text annotations to each bar
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- for i, v in enumerate(value_counts):
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+ for i, v in enumerate(rel_freq):
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plt.text(i, v, f"{v:.2f}", color='black', ha='center', va='bottom', fontsize=fontsize, fontweight='bold')
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plt.show()
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######################################################################################################################
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```
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### Comparing `bigeda-0.0.8/BigEDA/preprocessing.py` & `bigeda-0.0.9/BigEDA/preprocessing.py`
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* *Files identical despite different names*
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### Comparing `bigeda-0.0.8/BigEDA.egg-info/PKG-INFO` & `bigeda-0.0.9/BigEDA.egg-info/PKG-INFO`
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* *Files 24% similar despite different names*
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```diff
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Metadata-Version: 2.1
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Name: BigEDA
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-Version: 0.0.8
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+Version: 0.0.9
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Summary: This is a package to carry out Exploratory Data Analysis, allowing to work with Big Data.
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Home-page: https://github.com/FabioScielzoOrtiz/EDA_Package
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Author: Fabio Scielzo Ortiz
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Author-email: [email protected]
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Classifier: Programming Language :: Python :: 3
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Operating System :: OS Independent
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Requires-Python: >=3.7
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Description-Content-Type: text/markdown
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License-File: LICENSE
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Requires-Dist: pandas
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Requires-Dist: numpy
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+Requires-Dist: polars
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+Requires-Dist: scipy
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+Requires-Dist: itertools
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+Requires-Dist: collections
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+Requires-Dist: seaborn
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+Requires-Dist: matplotlib
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+Requires-Dist: random
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This is a package to carry out Exploratory Data Analysis, allowing to work on Big Data.
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We are currently working to develop the package.
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Usage:
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```
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### Comparing `bigeda-0.0.8/LICENSE` & `bigeda-0.0.9/LICENSE`
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* *Files identical despite different names*
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### Comparing `bigeda-0.0.8/PKG-INFO` & `bigeda-0.0.9/PKG-INFO`
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* *Files 24% similar despite different names*
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```diff
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Metadata-Version: 2.1
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Name: BigEDA
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-Version: 0.0.8
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+Version: 0.0.9
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Summary: This is a package to carry out Exploratory Data Analysis, allowing to work with Big Data.
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Home-page: https://github.com/FabioScielzoOrtiz/EDA_Package
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Author: Fabio Scielzo Ortiz
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Author-email: [email protected]
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Classifier: Programming Language :: Python :: 3
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Operating System :: OS Independent
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Requires-Python: >=3.7
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Description-Content-Type: text/markdown
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License-File: LICENSE
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Requires-Dist: pandas
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Requires-Dist: numpy
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+Requires-Dist: polars
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+Requires-Dist: scipy
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+Requires-Dist: itertools
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+Requires-Dist: collections
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+Requires-Dist: seaborn
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+Requires-Dist: matplotlib
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+Requires-Dist: random
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This is a package to carry out Exploratory Data Analysis, allowing to work on Big Data.
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We are currently working to develop the package.
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Usage:
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```
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‎fetcher.log

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[2024-05-20 23:58:35] INFO root fetch - processPackages [BigEDA]: Remove: archive file [/home/abi/fetcher/tmp/bigeda-0.0.8.tar.gz]
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[2024-05-20 23:58:35] INFO root fetch - processPackages [BigEDA]: Remove: archive file [/home/abi/fetcher/tmp/bigeda-0.0.9.tar.gz]
33607+
[2024-05-20 23:58:35] INFO root fetch - main [MainThread]: End processing [BigEDA]: success
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[2024-05-20 23:58:35] INFO root fetch - processPackages [ontogpt]: executing diffoscope
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[2024-05-20 23:58:35] INFO root fetch - processPackages [ontogpt]: podman run --user 0:0 --rm -w /home/abi/fetcher -v /home/abi/fetcher/tmp:/home/abi/fetcher/tmp:ro -v /home/abi/fetcher/20240520:/home/abi/fetcher/20240520:rw registry.salsa.debian.org/reproducible-builds/diffoscope --no-progress tmp/ontogpt-0.3.8.tar.gz tmp/ontogpt-0.3.9.tar.gz --markdown 20240520/o/ontogpt/0.3.8-0.3.9/README.md --exclude *.pyd
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[2024-05-20 23:58:35] INFO root fetch - processPackages [sbcli-dev]: Remove: archive file [/home/abi/fetcher/tmp/sbcli_dev-2.6.2.zip]
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[2024-05-20 23:58:35] INFO root fetch - processPackages [sbcli-dev]: Remove: archive file [/home/abi/fetcher/tmp/sbcli_dev-2.6.3.zip]
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[2024-05-20 23:58:35] INFO root fetch - main [MainThread]: End processing [sbcli-dev]: success
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[2024-05-20 23:58:37] INFO root fetch - processPackages [ontogpt]: Remove: archive file [/home/abi/fetcher/tmp/ontogpt-0.3.8.tar.gz]
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[2024-05-20 23:58:37] INFO root fetch - processPackages [ontogpt]: Remove: archive file [/home/abi/fetcher/tmp/ontogpt-0.3.9.tar.gz]
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[2024-05-20 23:58:37] INFO root fetch - main [MainThread]: End processing [ontogpt]: success
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[2024-05-20 23:58:37] INFO root fetch - main [MainThread]: Store serial: [23296792]

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