Merge branch 'textbox_for_snippet'

Development Notes.md

@@ -1,16 +1,11 @@
 [General](#general-notes) | [Make Docs](#constructing-the-documentation) | 
 [Build PyPi Package](#building-pypi-package)|
 ## General Notes
-1. Have not completely converted to JPSLUtils for javascript tools and 
-   accessing code cells. This will need to be complete before trying to 
-   make the software JLab vs ClassicNB aware.
-2. Thoughts on GUI for loading data. Could use ipyfilechooser to select 
+1. Thoughts on GUI for loading data. Could use ipyfilechooser to select 
    local files. A dropdown for html vs csv to filter and select the reader. 
    A checkbox for the index (label) column or not in file. The html loader 
    creates an array of dataframes, one for each table.
-3. To make it work across more platforms could try having the computed code 
-   block built in a textbox widget. This looses the syntax highlighting, 
-   but would allow copy and paste into cells in things like Colab.
+2. To make it work across more platforms could try having the computed code.
 
 ## Constructing the Documentation
 

README.md

@@ -14,9 +14,10 @@
 This package provides GUI tools to help the user construct Pandas and Python 
 expressions 
 to create things such as new calculated columns, plots or fits. The tools are 
-meant to run in an interactive Jupyter notebook.  **Currently, they only work 
-in the classic Jupyter notebook and not Jupyter lab.** All tools are based on 
-Jupyter widgets.
+meant to run in an interactive Jupyter notebook in 
+[classic Jupyter](https://jupyter-notebook.readthedocs.io/en/latest/), 
+[Jupyter Lab](https://jupyterlab.readthedocs.io/en/stable/) 
+and [Google Colab](https://colab.research.google.com/). All tools are based on ipywidgets widgets.
 
 These tools are meant to help the user learn how to construct the commands. 
 They are intended for new or occasional users of Pandas. However, 
@@ -27,11 +28,14 @@ the ability to choose python objects from menus can reduce errors.
 
 The user can pass the GUI tools a list of Pandas 
 DataFrames to work with. If nothing is passed, the GUI will look for 
-Pandas DataFrames in the interactive session. The whole GUI and the Jupyter 
-cell that created it are deleted when done. This leaves only the code that was 
-generated by the GUI and the results of running the generated code.
-
-The generated code contains sparse comments meant to help new users 
+Pandas DataFrames in the interactive session. In classic Jupyter the whole GUI 
+and the Jupyter cell that created it are deleted when done. This leaves 
+only the code that was generated by the GUI and the results of running the
+generated code. In Colab and Lab the code is generated in an editable text 
+box. In Colab it can be run by clicking a button. In Lab it is best to copy 
+the code into a new cell before running it.
+
+The generated code contains comments meant to help new users 
 understand the code.
 
 *Currently defined GUIs:*
@@ -48,13 +52,14 @@ understand the code.
 
 * `fit_pandas_GUI()`: A GUI with six steps to lead the user through fitting 
   Pandas data to a line, polynomial, exponential, Gaussian or sine function.
+  **Selecting regions of the data set to fit does NOT currently
+  work in Colab**.
 
   <img src = "https://jupyterphysscilab.github.io/jupyter_Pandas_GUI/DataSets/GUI_fitexp_1.png" style="width:90%;"/>
 
 #### Wishlist:
 
   * GUIs for plots beyond scatter/line plots.
-  * Make the GUIs work in Jupyter Lab.
 
 #### Usage:
 If the `jupyter_Pandas_GUI` is installed in your Jupyter/Python environment 
@@ -95,15 +100,16 @@ available in your command shell. More discussion:
 1. Navigate to the directory where this package will be installed.
 1. Start a shell in the environment `$ pipenv shell`.
 1. Install using pip.
-    1. `$ pip install jupyter-Pandas-GUI`. This will install 
+    1. `pip install jupyter-Pandas-GUI`. This will install 
        Jupyter into the same virtual
     environment if you do not already have it on your machine. If Jupyter is already
     installed the virtual environment will use the existing installation. This takes
     a long time on a Raspberry Pi. It will not run on a 3B+ without at least 1 GB of
     swap. See: [Build Jupyter on a Pi
    ](https://www.uwosh.edu/facstaff/gutow/computer-and-programming-how-tos/installing-jupyter-on-raspberrian).
     2. Still within the environment shell test this by starting jupyter
-`$ jupyter notebook`. Jupyter should launch in your browser.
+`jupyter notebook` or `Jupyter lab`. The version of Jupyter requested should 
+       launch in your browser.
         1. Open a new notebook using the default (Python 3) kernel.
         1. In the first cell import the pandas_GUI module:
             `from pandas_GUI import *`
@@ -129,6 +135,14 @@ install -e ../jupyter_Pandas_GUI` in the _Production_
 instructions.
 
 #### Change Log
+* 0.7.0
+  * GUIs now also work in Jupyter Lab and Google Colab, although less 
+    elegently than in classic Jupyter. Only the fit range selection tab 
+    does not yet work in Google Colab.
+  * Some minor bug fixes and clarification of instructions.
+  * More and better comments in generated code.
+  * Replacement of notebook cell javascript tools with those from JPSLUtils 
+    is complete.
 * 0.6.2.1 Fix for python move of `Iterable` to `collections.abc`
 * 0.6.2
   * Can now pass dataframes to the GUIs and they will search for additional 

docs/Lab_Colab_vs_NBClassic.html

@@ -0,0 +1,43 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <title>Pandas GUI behavior in Lab and Colab versus Classic Jupyter</title>
+</head>
+<body>
+<h1>Pandas GUI behavior in Lab and Colab versus Classic Jupyter</h1>
+<a href="https://jupyterphysscilab.github.io/jupyter_Pandas_GUI/">
+    Return to Documentation Home Page</a>
+<h2>Introduction</h2>
+<p>The examples in the documentation are all based on how the GUI tools work
+    in the classic
+    Jupyter notebook environment. If you are using these tools in
+    <a href = "https://jupyter.org/">Jupyter Lab</a> or
+    <a href = "https://colab.research.google.com">Google Colab</a> keep in
+    mind the differences in behavior described below.</p>
+<h2>Differences common to Lab and Colab</h2>
+<ul>
+    <li>Rather then generate the code directly in a notebook cell
+        immediately below the tabbed GUI, the code is generated in an
+        editable textarea below the tabbed GUI. See the image below for
+        the <code>new_pandas_column_GUI()</code>.</li>
+    <image src = "DataSets/new_col_in_Colab.png"></image>
+    <li>If you wish the generated code to persist after cell outputs are
+        cleared, the generated code needs to be manually copied to a code
+        cell.</li>
+</ul>
+<h2>Running the code in Lab and Colab</h2>
+<uL>
+    <li><span style="color:blue;">In Colab</span> the code can be run by
+        clicking on the "run code" button and the results will appear in
+        the output of the cell.</li>
+    <li><span style="color:red;">In Lab</span> clicking on the "run code"
+        button will output the results to the log console,
+        which defaults to appearing at the bottom of the window. To make
+        the results appear in the output of a notebook cell the code must
+        be copied to a cell and the cell run.</li>
+</uL>
+<a href="https://jupyterphysscilab.github.io/jupyter_Pandas_GUI/">
+    Return to Documentation Home Page</a>
+</body>
+</html>

docs/Pandas_GUI_Doc_Home.html

@@ -25,6 +25,8 @@
 <H3>Usage Examples</H3>
 <ul>
     <li><a href = "Overview_Demo_pandas_GUI.html">Quick Overview</a></li>
+    <li><a href = "Lab_Colab_vs_NBClassic.html">Behavior in Jupyter Lab and
+        Google Colab</a></li>
     <li><a href="New_calculated_column.html">New Calculated Column</a></li>
     <li>Plotting
         <ul><li>
@@ -76,8 +78,13 @@ <h3><a href="https://github.com/JupyterPhysSciLab/jupyter_Pandas_GUI">GIT
         <a href="https://python.org">Python</a> 3 kernel. See the <a href
         ="pandas_GUI.html">documentation</a>
         for more detailed information on usage and installation.</p>
-    <h5>Currently these tools only work in classic Jupyter notebooks. They
-    do not yet work in Jupyter Lab.</h5>
+    <h5>These tools work in classic Jupyter notebooks, Jupyter Lab and
+        Google Colab.</h5>
+        <p>The interface is less elegant in Jupyter Lab and Colab than in
+            classic Jupyter, because the generated code cannot be built
+            directly in a code cell. Clicking on a graph of the data
+            to select regions of the data to fit does not yet work in
+        <a href="https://colab.research.google.com/">Google Colab</a>.</p>
 </main>
 <script>
     function escapeHTML(html) {

docs/intro.md

@@ -14,9 +14,10 @@
 This package provides GUI tools to help the user construct Pandas and Python 
 expressions 
 to create things such as new calculated columns, plots or fits. The tools are 
-meant to run in an interactive Jupyter notebook.  **Currently, they only work 
-in the classic Jupyter notebook and not Jupyter lab.** All tools are based on 
-Jupyter widgets.
+meant to run in an interactive Jupyter notebook in 
+[classic Jupyter](https://jupyter-notebook.readthedocs.io/en/latest/), 
+[Jupyter Lab](https://jupyterlab.readthedocs.io/en/stable/) 
+and [Google Colab](https://colab.research.google.com/). All tools are based on ipywidgets widgets.
 
 These tools are meant to help the user learn how to construct the commands. 
 They are intended for new or occasional users of Pandas. However, 
@@ -27,11 +28,14 @@ the ability to choose python objects from menus can reduce errors.
 
 The user can pass the GUI tools a list of Pandas 
 DataFrames to work with. If nothing is passed, the GUI will look for 
-Pandas DataFrames in the interactive session. The whole GUI and the Jupyter 
-cell that created it are deleted when done. This leaves only the code that was 
-generated by the GUI and the results of running the generated code.
-
-The generated code contains sparse comments meant to help new users 
+Pandas DataFrames in the interactive session. In classic Jupyter the whole GUI 
+and the Jupyter cell that created it are deleted when done. This leaves 
+only the code that was generated by the GUI and the results of running the
+generated code. In Colab and Lab the code is generated in an editable text 
+box. In Colab it can be run by clicking a button. In Lab it is best to copy 
+the code into a new cell before running it.
+
+The generated code contains comments meant to help new users 
 understand the code.
 
 *Currently defined GUIs:*
@@ -48,13 +52,14 @@ understand the code.
 
 * `fit_pandas_GUI()`: A GUI with six steps to lead the user through fitting 
   Pandas data to a line, polynomial, exponential, Gaussian or sine function.
+  **Selecting regions of the data set to fit does NOT currently
+  work in Colab**.
 
   <img src = "https://jupyterphysscilab.github.io/jupyter_Pandas_GUI/DataSets/GUI_fitexp_1.png" style="width:90%;"/>
 
 #### Wishlist:
 
   * GUIs for plots beyond scatter/line plots.
-  * Make the GUIs work in Jupyter Lab.
 
 #### Usage:
 If the `jupyter_Pandas_GUI` is installed in your Jupyter/Python environment 
@@ -95,15 +100,16 @@ available in your command shell. More discussion:
 1. Navigate to the directory where this package will be installed.
 1. Start a shell in the environment `$ pipenv shell`.
 1. Install using pip.
-    1. `$ pip install jupyter-Pandas-GUI`. This will install 
+    1. `pip install jupyter-Pandas-GUI`. This will install 
        Jupyter into the same virtual
     environment if you do not already have it on your machine. If Jupyter is already
     installed the virtual environment will use the existing installation. This takes
     a long time on a Raspberry Pi. It will not run on a 3B+ without at least 1 GB of
     swap. See: [Build Jupyter on a Pi
    ](https://www.uwosh.edu/facstaff/gutow/computer-and-programming-how-tos/installing-jupyter-on-raspberrian).
     2. Still within the environment shell test this by starting jupyter
-`$ jupyter notebook`. Jupyter should launch in your browser.
+`jupyter notebook` or `Jupyter lab`. The version of Jupyter requested should 
+       launch in your browser.
         1. Open a new notebook using the default (Python 3) kernel.
         1. In the first cell import the pandas_GUI module:
             `from pandas_GUI import *`
@@ -129,6 +135,14 @@ install -e ../jupyter_Pandas_GUI` in the _Production_
 instructions.
 
 #### Change Log
+* 0.7.0
+  * GUIs now also work in Jupyter Lab and Google Colab, although less 
+    elegently than in classic Jupyter. Only the fit range selection tab 
+    does not yet work in Google Colab.
+  * Some minor bug fixes and clarification of instructions.
+  * More and better comments in generated code.
+  * Replacement of notebook cell javascript tools with those from JPSLUtils 
+    is complete.
 * 0.6.2.1 Fix for python move of `Iterable` to `collections.abc`
 * 0.6.2
   * Can now pass dataframes to the GUIs and they will search for additional 

docs/pandas_GUI.html

@@ -39,7 +39,7 @@ <h2>API Documentation</h2>
     </ul>
 
 
-            <footer>jupyter_Pandas_GUI v0.6.2.1</footer>
+            <footer>jupyter_Pandas_GUI v0.7.0</footer>
 
         <a class="attribution" title="pdoc: Python API documentation generator" href="https://pdoc.dev">
             built with <span class="visually-hidden">pdoc</span><img
@@ -107,9 +107,10 @@ <h4 id="introduction">Introduction:</h4>
 <p>This package provides GUI tools to help the user construct Pandas and Python 
 expressions 
 to create things such as new calculated columns, plots or fits. The tools are 
-meant to run in an interactive Jupyter notebook.  <strong>Currently, they only work 
-in the classic Jupyter notebook and not Jupyter lab.</strong> All tools are based on 
-Jupyter widgets.</p>
+meant to run in an interactive Jupyter notebook in 
+<a href="https://jupyter-notebook.readthedocs.io/en/latest/">classic Jupyter</a>, 
+<a href="https://jupyterlab.readthedocs.io/en/stable/">Jupyter Lab</a> 
+and <a href="https://colab.research.google.com/">Google Colab</a>. All tools are based on ipywidgets widgets.</p>
 
 <p>These tools are meant to help the user learn how to construct the commands. 
 They are intended for new or occasional users of Pandas. However, 
@@ -120,11 +121,14 @@ <h4 id="current-features">Current Features:</h4>
 
 <p>The user can pass the GUI tools a list of Pandas 
 DataFrames to work with. If nothing is passed, the GUI will look for 
-Pandas DataFrames in the interactive session. The whole GUI and the Jupyter 
-cell that created it are deleted when done. This leaves only the code that was 
-generated by the GUI and the results of running the generated code.</p>
-
-<p>The generated code contains sparse comments meant to help new users 
+Pandas DataFrames in the interactive session. In classic Jupyter the whole GUI 
+and the Jupyter cell that created it are deleted when done. This leaves 
+only the code that was generated by the GUI and the results of running the
+generated code. In Colab and Lab the code is generated in an editable text 
+box. In Colab it can be run by clicking a button. In Lab it is best to copy 
+the code into a new cell before running it.</p>
+
+<p>The generated code contains comments meant to help new users 
 understand the code.</p>
 
 <p><em>Currently defined GUIs:</em></p>
@@ -139,7 +143,9 @@ <h4 id="current-features">Current Features:</h4>
 
 <p><img src = "https://jupyterphysscilab.github.io/jupyter_Pandas_GUI/DataSets/plot_GUI.png" style="width:90%;"/></p></li>
 <li><p><code>fit_pandas_GUI()</code>: A GUI with six steps to lead the user through fitting 
-Pandas data to a line, polynomial, exponential, Gaussian or sine function.</p>
+Pandas data to a line, polynomial, exponential, Gaussian or sine function.
+<strong>Selecting regions of the data set to fit does NOT currently
+work in Colab</strong>.</p>
 
 <p><img src = "https://jupyterphysscilab.github.io/jupyter_Pandas_GUI/DataSets/GUI_fitexp_1.png" style="width:90%;"/></p></li>
 </ul>
@@ -148,7 +154,6 @@ <h4 id="wishlist">Wishlist:</h4>
 
 <ul>
 <li>GUIs for plots beyond scatter/line plots.</li>
-<li>Make the GUIs work in Jupyter Lab.</li>
 </ul>
 
 <h4 id="usage">Usage:</h4>
@@ -197,15 +202,16 @@ <h4 id="installation">Installation:</h4>
 <li><p>Install using pip.</p>
 
 <ol>
-<li><code>$ pip install jupyter-Pandas-GUI</code>. This will install 
+<li><code>pip install jupyter-Pandas-GUI</code>. This will install 
 Jupyter into the same virtual
 environment if you do not already have it on your machine. If Jupyter is already
 installed the virtual environment will use the existing installation. This takes
 a long time on a Raspberry Pi. It will not run on a 3B+ without at least 1 GB of
 swap. See: <a href="https://www.uwosh.edu/facstaff/gutow/computer-and-programming-how-tos/installing-jupyter-on-raspberrian">Build Jupyter on a Pi
 </a>.</li>
 <li>Still within the environment shell test this by starting jupyter
-<code>$ jupyter notebook</code>. Jupyter should launch in your browser.
+<code>jupyter notebook</code> or <code>Jupyter lab</code>. The version of Jupyter requested should 
+launch in your browser.
 <ol>
 <li>Open a new notebook using the default (Python 3) kernel.</li>
 <li>In the first cell import the pandas_GUI module:
@@ -241,6 +247,17 @@ <h4 id="installation">Installation:</h4>
 <h4 id="change-log">Change Log</h4>
 
 <ul>
+<li>0.7.0
+<ul>
+<li>GUIs now also work in Jupyter Lab and Google Colab, although less 
+elegently than in classic Jupyter. Only the fit range selection tab 
+does not yet work in Google Colab.</li>
+<li>Some minor bug fixes and clarification of instructions.</li>
+<li>More and better comments in generated code.</li>
+<li>Replacement of notebook cell javascript tools with those from JPSLUtils 
+is complete.</li>
+</ul></li>
+<li>0.6.2.1 Fix for python move of <code>Iterable</code> to <code>collections.abc</code></li>
 <li>0.6.2
 <ul>
 <li>Can now pass dataframes to the GUIs and they will search for additional