[](http://local-visualizer.readthedocs.io/en/latest/?badge=latest)
[](https://travis-ci.org/psvishnu91/local_visualizer)
[](https://badge.fury.io/py/local-visualizer)
## LocalVisualizer
Simple python api to visualize the plots in a script.
* Free software: MIT license
* Documentation: https://local-visualizer.readthedocs.io
* PyPI: https://pypi.python.org/pypi/local-visualizer/
### Installation
``` bash
pip install local-visualizer
```
### Motivation
* When moving from an IPython notebook to a script, we lose the diagnostics
of visualizing pandas as tables and matplotlib plots.
* :class:`LocalViz` starts a local http server and creates a html file to
which pandas tables and matplotlib plots can be sent over.
* The html file is dynamically updated for long running scripts.
### Usage
``` python
import logging, sys, numpy as np, pandas as pd, matplotlib.pyplot as plt
import local_visualizer
plt.style.use('fivethirtyeight')
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
# Create the local visualizer instance
lviz = local_visualizer.LocalViz(html_file='lviz_test.html', port=9112)
# INFO:root:Starting background server at: http://localhost:9112/.
# INFO:local_visualizer:Click: http://carpediem:9112/lviz_test.html or http://localhost:9112/lviz_test.html
# Create plots which will be streamed to the html file.
lviz.h3('Matplotlib :o')
lviz.p(
'Wrap your plots in the figure context manager which takes '
'in the kwargs of plt.figure and returns a plt.figure object.',
)
with lviz.figure(figsize=(10, 8)) as fig:
x = np.linspace(-10, 10, 1000)
plt.plot(x, np.sin(x))
plt.title('Sine test')
lviz.hr()
# Visualize pandas dataframes as tables.
lviz.h3('Pandas dataframes')
df = pd.DataFrame({'A': np.linspace(1, 10, 10)})
df = pd.concat(
[df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))],
axis=1,
)
lviz.write(df)
lviz.close()
```
### Output
This starts a HTTPServer and creates a html file which is dynamically updated
each time ``lviz`` is called.

### Support and Requirements
Python 2.7
### API methods
1. `p`: paragraph
2. `br`: line break
3. `hr`: Horizontal rule with line breaks
4. `h1`, `h2`, ..., `h6`: Headers
5. `write`: Directly write text to the html document (or pass in a `pandas.DataFrame`)
6. `figure`: Context manager which accepts the kwargs of `plt.figure` and returns a `plt.figure` object
7. `start`: Applicable if `LocalViz` was initialized with `lazy=True`. Starts the server and creates the html file
8. `close`: Completes the html file
9. `del_html`: Deletes the html file
### Credits
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
=======
History
=======
0.2.0 (2017-11-06)
------------------
The close method no more deletes the html but only makes the html valid.
0.1.0 (2017-11-05)
------------------
* First release on PyPI.
[](https://travis-ci.org/psvishnu91/local_visualizer)
[](https://badge.fury.io/py/local-visualizer)
## LocalVisualizer
Simple python api to visualize the plots in a script.
* Free software: MIT license
* Documentation: https://local-visualizer.readthedocs.io
* PyPI: https://pypi.python.org/pypi/local-visualizer/
### Installation
``` bash
pip install local-visualizer
```
### Motivation
* When moving from an IPython notebook to a script, we lose the diagnostics
of visualizing pandas as tables and matplotlib plots.
* :class:`LocalViz` starts a local http server and creates a html file to
which pandas tables and matplotlib plots can be sent over.
* The html file is dynamically updated for long running scripts.
### Usage
``` python
import logging, sys, numpy as np, pandas as pd, matplotlib.pyplot as plt
import local_visualizer
plt.style.use('fivethirtyeight')
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
# Create the local visualizer instance
lviz = local_visualizer.LocalViz(html_file='lviz_test.html', port=9112)
# INFO:root:Starting background server at: http://localhost:9112/.
# INFO:local_visualizer:Click: http://carpediem:9112/lviz_test.html or http://localhost:9112/lviz_test.html
# Create plots which will be streamed to the html file.
lviz.h3('Matplotlib :o')
lviz.p(
'Wrap your plots in the figure context manager which takes '
'in the kwargs of plt.figure and returns a plt.figure object.',
)
with lviz.figure(figsize=(10, 8)) as fig:
x = np.linspace(-10, 10, 1000)
plt.plot(x, np.sin(x))
plt.title('Sine test')
lviz.hr()
# Visualize pandas dataframes as tables.
lviz.h3('Pandas dataframes')
df = pd.DataFrame({'A': np.linspace(1, 10, 10)})
df = pd.concat(
[df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))],
axis=1,
)
lviz.write(df)
lviz.close()
```
### Output
This starts a HTTPServer and creates a html file which is dynamically updated
each time ``lviz`` is called.

### Support and Requirements
Python 2.7
### API methods
1. `p`: paragraph
2. `br`: line break
3. `hr`: Horizontal rule with line breaks
4. `h1`, `h2`, ..., `h6`: Headers
5. `write`: Directly write text to the html document (or pass in a `pandas.DataFrame`)
6. `figure`: Context manager which accepts the kwargs of `plt.figure` and returns a `plt.figure` object
7. `start`: Applicable if `LocalViz` was initialized with `lazy=True`. Starts the server and creates the html file
8. `close`: Completes the html file
9. `del_html`: Deletes the html file
### Credits
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
=======
History
=======
0.2.0 (2017-11-06)
------------------
The close method no more deletes the html but only makes the html valid.
0.1.0 (2017-11-05)
------------------
* First release on PyPI.
Metadata
Release files for local-visualizer 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| local_visualizer-0.2.0.tar.gz | 12.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| local_visualizer-0.2.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 22.2 kB
Release files / local_visualizer-0.2.0.tar.gz
| Download URL | local_visualizer-0.2.0.tar.gz |
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| Size | 12.6 kB |
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Release files / local_visualizer-0.2.0-py2.py3-none-any.whl
| Download URL | local_visualizer-0.2.0-py2.py3-none-any.whl |
|---|---|
| Size | 9.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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