statistics-charts.md

jupyter

jupytext kernelspec plotly notebook_metadata_filter text_representation all extension format_name format_version jupytext_version .md markdown 1.1 1.1.1 display_name language name Python 2 python python2 description display_as has_thumbnail language layout name order page_type permalink thumbnail Learn how to plot statistical data with various charts using Python. statistics false python base Statistics Charts 5 example_index python/statistics-charts/ /images/static-image

New to Plotly?

Plotly's Python library is free and open source! Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!

Imports

The tutorial below imports NumPy, Pandas, and SciPy.

importplotly.plotlyaspyimportplotly.graph_objsasgofromplotly.toolsimportFigureFactoryasFFimportnumpyasnpimportpandasaspdimportscipy

Import Data

For this example we will use some real data of wind speeds sampled every 10 minutes.

wind_data=pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/wind_speed_laurel_nebraska.csv') df=wind_data[0:10] table=FF.create_table(df) py.iplot(table, filename='wind-data-sample')

Histogram

We will be producing a histogram with the "10 Min Std Dev" column of our data. For more info on the histogram charts, you can checkout the documentation page.

data= [ go.Histogram( x=wind_data['10 Min Std Dev'], histnorm='probability' ) ] py.iplot(data, filename='wind-data-histogram')

Box Plots

We will be producing a box plot with the "10 Min Std Dev" column of our data again. For more info on the histogram charts, you can checkout the documentation page.

data= [ go.Box( y=wind_data['10 Min Std Dev'], ) ] py.iplot(data, filename='wind-data-box-plot')

Scatterplot Matrix

We will be producing a scatterplot matrix with all the columns of our data. For more info on the histogram charts, you can checkout the documentation page.

fig=FF.create_scatterplotmatrix(wind_data, height=1000, width=1000, title='Wind Data - Scatterplot Matrix') py.iplot(fig, filename='wind-data-scatterplot-matrix')

fromIPython.displayimportdisplay, HTMLdisplay(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />')) display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">')) ! pipinstallgit+https://github.com/plotly/publisher.git--upgradeimportpublisherpublisher.publish( 'python-Statistics-Charts.ipynb', 'python/statistics-charts/', 'Statistics Charts | plotly', 'Learn how to plot statistical data with various charts using Python.', title='Statistics Charts in Python. | plotly', name='Statistics Charts', language='python', page_type='example_index', has_thumbnail='false', display_as='statistics', order=5, ipynb='~notebook_demo/116')