Commit for pandas-profiling v2.5.0 (ydataai#380)

- Progress bar added (ydataai#224)
- Character analysis for Text/NLP (ydataai#278)
- Themes: configuration and demo's (Orange, Dark)
- Tutorial on modifying the report's structure (ydataai#362; ydataai#281, ydataai#259, ydataai#253, ydataai#234). This jupyter notebook also demonstrates how to use the Kaggle api together with pandas-profiling.
- Toggle descriptions at correlations.

Deprecation:

- This is the last version to support Python 3.5.

Stability:

- The order of columns changed when sort="None" (ydataai#377, fixed).
- Pandas v1.0.X is not yet supported (ydataai#367, ydataai#366, ydataai#363, ydataai#353, pinned pandas to < 1)
- Improved mixed type detection (ydataai#351)
- Refactor of report structures.
- Correlations are more stable (e.g. Phi_k color scale now from 0-1, rows and columns with NaN values are dropped, ydataai#329).
- Distinct counts exclude NaNs.
- Fixed alerts in notebooks.

Other improvements:

- Warnings are now sorted.
- Links to Binder and Google Colab are added for notebooks (ydataai#349)
- The overview section is tabbed.

* Commit for pandas-profiling v2.5.0

- Progress bar added (ydataai#224)
- Character analysis for Text/NLP (ydataai#278)
- Themes: configuration and demo's (Orange, Dark)
- Tutorial on modifying the report's structure (ydataai#362; ydataai#281, ydataai#259, ydataai#253, ydataai#234). This jupyter notebook also demonstrates how to use the Kaggle api together with pandas-profiling.
- Toggle descriptions at correlations.

Deprecation:

- This is the last version to support Python 3.5.

Stability:

- The order of columns changed when sort="None" (ydataai#377, fixed).
- Pandas v1.0.X is not yet supported (ydataai#367, ydataai#366, ydataai#363, ydataai#353, pinned pandas to < 1)
- Improved mixed type detection (ydataai#351)
- Refactor of report structures.
- Correlations are more stable (e.g. Phi_k color scale now from 0-1, rows and columns with NaN values are dropped, ydataai#329).
- Distinct counts exclude NaNs.
- Fixed alerts in notebooks.

Other improvements:

- Warnings are now sorted.
- Links to Binder and Google Colab are added for notebooks (ydataai#349)
- The overview section is tabbed.

Author: sbrugman

.travis.yml

@@ -1,4 +1,4 @@
-sudo: required
+os: linux
 dist: bionic
 language: python
 cache:

Makefile

@@ -4,13 +4,24 @@ docs:
 	rmdir docs/pandas_profiling
 
 test:
-    pytest --black tests/unit/
-    pytest --black tests/issues/
-    pytest --nbval tests/notebooks/
-    flake8 . --select=E9,F63,F7,F82 --show-source --statistics
+	pytest --black tests/unit/
+	pytest --black tests/issues/
+	pytest --nbval tests/notebooks/
+	flake8 . --select=E9,F63,F7,F82 --show-source --statistics
 
 install:
 	pip install -e .
 
 lint:
-	black .
+	black .
+
+typing:
+	pytest --mypy -m mypy .
+
+all:
+	make lint
+	make install
+	make examples
+	make docs
+	make test
+	make typing

README.md

@@ -30,12 +30,12 @@ With your help, we got approved for [GitHub Sponsors](https://github.com/sponsor
 It's extra exciting that GitHub **matches your contribution** for the first year.
 Therefore, we welcome you to support the project through GitHub! 
 
-The v2.4 release includes many new features (performance, exporting, GUI and datasets) and stability improvements.
+The v2.5.0 release includes many new features and stability improvements.
 
  - [Sponsor the project on GitHub](https://github.com/sponsors/sbrugman)
- - [Read the release notes v2.4](https://github.com/pandas-profiling/pandas-profiling/releases/tag/v2.4.0) 
+ - [Read the release notes v2.5.0](https://github.com/pandas-profiling/pandas-profiling/releases/tag/v2.5.0) 
 
- *January 7, 2020*
+ *February 14, 2020 💘*
 
 ---
 
@@ -53,14 +53,16 @@ _Contents:_ **[Examples](#examples)** |
 The following examples can give you an impression of what the package can do:
 
 * [Census Income](http://pandas-profiling.github.io/pandas-profiling/examples/census/census_report.html) (US Adult Census data relating income)
-* [NASA Meteorites](http://pandas-profiling.github.io/pandas-profiling/examples/meteorites/meteorites_report.html) (comprehensive set of meteorite landings)
-* [Titanic](http://pandas-profiling.github.io/pandas-profiling/examples/titanic/titanic_report.html) (the "Wonderwall" of datasets)
+* [NASA Meteorites](http://pandas-profiling.github.io/pandas-profiling/examples/meteorites/meteorites_report.html) (comprehensive set of meteorite landings) [![Open In Colab](https://camo.githubusercontent.com/52feade06f2fecbf006889a904d221e6a730c194/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/github/pandas-profiling/pandas-profiling/blob/master/examples/meteorites/meteorites.ipynb) [![Binder](https://camo.githubusercontent.com/483bae47a175c24dfbfc57390edd8b6982ac5fb3/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667)](https://mybinder.org/v2/gh/pandas-profiling/pandas-profiling/master?filepath=examples%2Fmeteorites%2Fmeteorites.ipynb)
+* [Titanic](http://pandas-profiling.github.io/pandas-profiling/examples/titanic/titanic_report.html) (the "Wonderwall" of datasets) [![Open In Colab](https://camo.githubusercontent.com/52feade06f2fecbf006889a904d221e6a730c194/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/github/pandas-profiling/pandas-profiling/blob/master/examples/titanic/titanic.ipynb) [![Binder](https://camo.githubusercontent.com/483bae47a175c24dfbfc57390edd8b6982ac5fb3/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667)](https://mybinder.org/v2/gh/pandas-profiling/pandas-profiling/master?filepath=examples%2Ftitanic%2Ftitanic.ipynb)
 * [NZA](http://pandas-profiling.github.io/pandas-profiling/examples/nza/nza_report.html) (open data from the Dutch Healthcare Authority)
 * [Stata Auto](http://pandas-profiling.github.io/pandas-profiling/examples/stata_auto/stata_auto_report.html) (1978 Automobile data)
 * [Vektis](http://pandas-profiling.github.io/pandas-profiling/examples/vektis/vektis_report.html) (Vektis Dutch Healthcare data)
 * [Website Inaccessibility](http://pandas-profiling.github.io/pandas-profiling/examples/website_inaccessibility/website_inaccessibility_report.html) (demonstrates the URL type)
 * [Colors](http://pandas-profiling.github.io/pandas-profiling/examples/colors/colors_report.html) (a simple colors dataset)
 * [Russian Vocabulary](http://pandas-profiling.github.io/pandas-profiling/examples/russian_vocabulary/russian_vocabulary.html) (demonstrates text analysis)
+* [Orange prices](http://pandas-profiling.github.io/pandas-profiling/examples/themes/united_report.html) and [Coal prices](http://pandas-profiling.github.io/pandas-profiling/examples/themes/flatly_report.html) (showcase report themes)
+* [Tutorial: report structure using Kaggle data (advanced)](http://pandas-profiling.github.io/pandas-profiling/examples/kaggle/modify_report_structure.ipynb) (modify the report's structure) [![Open In Colab](https://camo.githubusercontent.com/52feade06f2fecbf006889a904d221e6a730c194/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/github/pandas-profiling/pandas-profiling/blob/master/examples/kaggle/modify_report_structure.ipynb) [![Binder](https://camo.githubusercontent.com/483bae47a175c24dfbfc57390edd8b6982ac5fb3/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667)](https://mybinder.org/v2/gh/pandas-profiling/pandas-profiling/master?filepath=examples%2Fkaggle%2Fmodify_report_structure.ipynb)
 
 ## Installation
 
@@ -126,7 +128,7 @@ There are two interfaces (see animations below): through widgets and through a H
 
 This is achieved by simply displaying the report. In the Jupyter Notebook, run:
 ```python
-profile
+profile.to_widgets()
 ```
 
 The HTML report can be included in a Juyter notebook:

docs/config.html

@@ -45,7 +45,12 @@ <h1 class="title">Module <code>pandas_profiling.config</code></h1>
         &#34;&#34;&#34;The config constructor should be called only once.&#34;&#34;&#34;
         if self.config is None:
             self.config = confuse.Configuration(&#34;PandasProfiling&#34;, __name__)
-            self.config.set_file(str(get_config_default()))
+
+        self.set_file(str(get_config_default()))
+
+    def set_file(self, file_name):
+        if self.config is not None:
+            self.config.set_file(file_name)
 
     def set_args(self, namespace: argparse.Namespace, dots: bool) -&gt; None:
         &#34;&#34;&#34;
@@ -55,7 +60,8 @@ <h1 class="title">Module <code>pandas_profiling.config</code></h1>
             namespace: Dictionary or Namespace to overlay this config with. Supports nested Dictionaries and Namespaces.
             dots: If True, any properties on namespace that contain dots (.) will be broken down into child dictionaries.
         &#34;&#34;&#34;
-        self.config.set_args(namespace, dots)
+        if self.config is not None:
+            self.config.set_args(namespace, dots)
 
     def _set_kwargs(self, reference, values: dict):
         &#34;&#34;&#34;Helper function to set config variables based on kwargs.&#34;&#34;&#34;
@@ -123,7 +129,12 @@ <h2 class="section-title" id="header-classes">Classes</h2>
         &#34;&#34;&#34;The config constructor should be called only once.&#34;&#34;&#34;
         if self.config is None:
             self.config = confuse.Configuration(&#34;PandasProfiling&#34;, __name__)
-            self.config.set_file(str(get_config_default()))
+
+        self.set_file(str(get_config_default()))
+
+    def set_file(self, file_name):
+        if self.config is not None:
+            self.config.set_file(file_name)
 
     def set_args(self, namespace: argparse.Namespace, dots: bool) -&gt; None:
         &#34;&#34;&#34;
@@ -133,7 +144,8 @@ <h2 class="section-title" id="header-classes">Classes</h2>
             namespace: Dictionary or Namespace to overlay this config with. Supports nested Dictionaries and Namespaces.
             dots: If True, any properties on namespace that contain dots (.) will be broken down into child dictionaries.
         &#34;&#34;&#34;
-        self.config.set_args(namespace, dots)
+        if self.config is not None:
+            self.config.set_args(namespace, dots)
 
     def _set_kwargs(self, reference, values: dict):
         &#34;&#34;&#34;Helper function to set config variables based on kwargs.&#34;&#34;&#34;
@@ -211,7 +223,22 @@ <h2 id="args">Args</h2>
         namespace: Dictionary or Namespace to overlay this config with. Supports nested Dictionaries and Namespaces.
         dots: If True, any properties on namespace that contain dots (.) will be broken down into child dictionaries.
     &#34;&#34;&#34;
-    self.config.set_args(namespace, dots)</code></pre>
+    if self.config is not None:
+        self.config.set_args(namespace, dots)</code></pre>
+</details>
+</dd>
+<dt id="pandas_profiling.config.Config.set_file"><code class="name flex">
+<span>def <span class="ident">set_file</span></span>(<span>self, file_name)</span>
+</code></dt>
+<dd>
+<section class="desc"></section>
+<details class="source">
+<summary>
+<span>Expand source code</span>
+</summary>
+<pre><code class="python">def set_file(self, file_name):
+    if self.config is not None:
+        self.config.set_file(file_name)</code></pre>
 </details>
 </dd>
 <dt id="pandas_profiling.config.Config.set_kwargs"><code class="name flex">
@@ -263,6 +290,7 @@ <h4><code><a title="pandas_profiling.config.Config" href="#pandas_profiling.conf
 <li><code><a title="pandas_profiling.config.Config.config" href="#pandas_profiling.config.Config.config">config</a></code></li>
 <li><code><a title="pandas_profiling.config.Config.dump" href="#pandas_profiling.config.Config.dump">dump</a></code></li>
 <li><code><a title="pandas_profiling.config.Config.set_args" href="#pandas_profiling.config.Config.set_args">set_args</a></code></li>
+<li><code><a title="pandas_profiling.config.Config.set_file" href="#pandas_profiling.config.Config.set_file">set_file</a></code></li>
 <li><code><a title="pandas_profiling.config.Config.set_kwargs" href="#pandas_profiling.config.Config.set_kwargs">set_kwargs</a></code></li>
 </ul>
 </li>