Update

.github/workflows/python-package.yml

@@ -0,0 +1,36 @@
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
+
+name: Python package
+
+on:
+  push:
+    branches: [ master ]
+  pull_request:
+    branches: [ master ]
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: [3.7]
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install flake8 pytest
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+    - name: Lint with flake8
+      run: |
+        # 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

.gitignore

@@ -0,0 +1,131 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+.idea/

LICENSE

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2015
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,7 +1,22 @@
+# ARCHIVED
+This repo is no longer being worked on. I have created a new library that is based on this located [here](https://github.com/jefpadfi/pdfkivygu).
+This repo will no longer be updated.
+
+![Python package](https://github.com/jefpadfi/PandasDataframeGUIKivy/workflows/Python%20package/badge.svg?branch=master)
+
 # DataframeGUIKivy
 
 Port of Dataframe GUI module to a Kivy widget. Original module can be found at this repository: https://github.com/bluenote10/PandasDataFrameGUI
 
+# Updates
+This fork has been updated to use the current version of all required libraries.
+
+* matplotlib _png is no longer needed to be imported and was removed
+*  pandas.DataFrame.from_items was [deprecated since version 0.23.0](https://github.com/pandas-dev/pandas/blob/v0.23.4/pandas/core/frame.py#L1422-L1507) 
+and has been replaced with pandas.DataFrame.from_dict
+* kivy.garden.matplotlib was giving me trouble so I just included the source in garden.matplotlib
+* added in requirements.txt so all requirements can be installed through pip.
+
 ## Demo Run Instructions
 
 ```sh

demo.py → examples/demo.py

@@ -8,7 +8,7 @@
 import datetime
 import numpy as np
 import pandas as pd
-from dfguik import DfguiWidget
+from pdfkivygui.dfguik import DfguiWidget
 
 
 def create_dummy_data(size):
@@ -23,25 +23,28 @@ def choice(*values):
         datetime.date(2016, 1, 1) + datetime.timedelta(days=int(delta))
         for delta in np.random.randint(1, 50, size)
     ]
-    return pd.DataFrame.from_items([
-        ("Date", random_dates),
-        ("UserID", choice(*user_ids)),
-        ("ProductID", choice(*product_ids)),
-        ("IntColumn", choice(1, 2, 3)),
-        ("FloatColumn", choice(np.nan, 1.0, 2.0, 3.0)),
-        ("StringColumn", choice("A", "B", "C")),
-        ("Gaussian 1", np.random.normal(0, 1, size)),
-        ("Gaussian 2", np.random.normal(0, 1, size)),
-        ("Uniform", np.random.uniform(0, 1, size)),
-        ("Binomial", np.random.binomial(20, 0.1, size)),
-        ("Poisson", np.random.poisson(1.0, size)),
-    ])
+    return pd.DataFrame.from_dict({
+        "Date": random_dates,
+        "UserID": choice(*user_ids),
+        "ProductID": choice(*product_ids),
+        "IntColumn": choice(1, 2, 3),
+        "FloatColumn": choice(np.nan, 1.0, 2.0, 3.0),
+        "StringColumn": choice("A", "B", "C"),
+        "Gaussian 1": np.random.normal(0, 1, size),
+        "Gaussian 2": np.random.normal(0, 1, size),
+        "Uniform": np.random.uniform(0, 1, size),
+        "Binomial": np.random.binomial(20, 0.1, size),
+        "Poisson": np.random.poisson(1.0, size),
+    })
+
+
+
 
 class DataFrameApp(App):
     def build(self):
         df = create_dummy_data(1000)
         return DfguiWidget(df)
-
+
+
 if __name__ == '__main__':
     DataFrameApp().run()
-