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local-visualizer
Readme
Simple python api to visualize the plots in a script.
pip install local-visualizer
LocalViz
starts a local http server and creates a html file to
which pandas tables and matplotlib plots can be sent over.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()
This starts a HTTPServer and creates a html file which is dynamically updated
each time lviz
is called.
Python 2.7
p
: paragraphbr
: line breakhr
: Horizontal rule with line breaksh1
, h2
, ..., h6
: Headerswrite
: Directly write text to the html document (or pass in a pandas.DataFrame
)figure
: Context manager which accepts the kwargs of plt.figure
and returns a plt.figure
objectstart
: Applicable if LocalViz
was initialized with lazy=True
. Starts the server and creates the html fileclose
: Completes the html filedel_html
: Deletes the html fileThis 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
The close method no more deletes the html but only makes the html valid.
FAQs
Simple python api to visualize the plots in a script.
We found that local-visualizer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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