Merge pull request #103 from eltphd/codespace-ubiquitous-space-fishst…

…ick-9rwx9j655g72xvg

Codespace ubiquitous space fishstick 9rwx9j655g72xvg

.github/workflows/python-package-conda.yml

@@ -0,0 +1,36 @@
+name: Python Package using Conda
+
+on: [push]
+
+jobs:
+  build-linux:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        os: [ubuntu-latest, macos-latest, windows-latest]:
+      max-parallel: 5
+
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v3
+      with:
+        python-version: '3.10'
+    - name: Add conda to system path
+      run: |
+        # $CONDA is an environment variable pointing to the root of the miniconda directory
+        echo $CONDA/bin >> $GITHUB_PATH
+    - name: Install dependencies
+      run: |
+        conda env update --file environment.yml --name base
+    - name: Lint with flake8
+      run: |
+        conda install flake8
+        # stop the build if there are Python syntax errors or undefined names
+        flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
+        # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
+        flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
+    - name: Test with pytest
+      run: |
+        conda install pytest
+        pytest

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "python.pythonPath": "/opt/conda/bin/python"
+}

LCA Bokeh.ipynb

@@ -0,0 +1,94 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#datapath = 'C:/Users/Ram/Documents/Ram/Data_Sets/'\n",
+    "datapath = ''\n",
+    "filename = ''\n",
+    "sep = ','\n",
+    "target = 'chas'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(datapath+filename,sep=sep)\n",
+    "dft = df[:]\n",
+    "print(df.shape)\n",
+    "df.head(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
+   "source": [
+    "dft = AV.AutoViz(datapath+filename, sep, target, \"\",\n",
+    "           header=0, verbose=1,\n",
+    "            lowess=False,chart_format='bokeh',max_rows_analyzed=150000,max_cols_analyzed=30)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

autoviz/AutoViz_Class.py

@@ -35,12 +35,12 @@ def warn(*args, **kwargs):
 # from matplotlib import io
 import io
 import seaborn as sns
-sns.set(style="whitegrid", color_codes=True)
+sns.set(style="ticks", color_codes=True)
 import re
 import pdb
 import pprint
 import matplotlib
-matplotlib.style.use('seaborn')
+matplotlib.style.use('seaborn-v0_8-ticks')
 from itertools import cycle, combinations
 from collections import defaultdict
 import copy
@@ -602,4 +602,4 @@ def data_cleaning_suggestions(df, target=None):
     else:
         print("Input must be a dataframe. Please check input and try again.")
     return dqr
-###################################################################################
+###################################################################################

setup.py

@@ -12,7 +12,7 @@
     long_description=long_description,
     long_description_content_type="text/markdown",
     license='Apache License 2.0',
-    url="https://github.com/AutoViML/AutoViz",
+    url="https://github.com/eltphd/AutoViz.git",
     packages=setuptools.find_packages(exclude=("tests",)),
     install_requires=[
         "xlrd",
@@ -22,7 +22,7 @@
         "pandas",
         "pyamg",
         "matplotlib >=3.3.3, <3.6",
-        "seaborn>=0.11.1",
+        "seaborn>=0.13",
         "scikit-learn",
         "statsmodels",
         "nltk",