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Copy file name to clipboardExpand all lines: notebooks/figure-labels.md
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extension:.md
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format_name:markdown
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format_version:'1.1'
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jupytext_version:1.1.1
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jupytext_version:1.1.6
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kernelspec:
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display_name:Python 3
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language:python
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name:python3
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language_info:
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codemirror_mode:
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name:ipython
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version:3
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file_extension:.py
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mimetype:text/x-python
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name:python
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nbconvert_exporter:python
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pygments_lexer:ipython3
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version:3.7.3
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plotly:
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description:How to set the title, legend-entries, and axis-titles in python.
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display_as:layout_opt
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thumbnail:thumbnail/labels.jpg
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title:Setting the Title, Legend Entries, and Axis Titles in Python | Examples
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| Plotly
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v4upgrade:true
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---
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####New to Plotly?
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Plotly's Python library is free and open source by downloading the client and[reading the primer](https://plot.ly/python/getting-started/).
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<br>You can set up Plotly to work in[online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or[offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in[jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).
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<br>We also have a quick-reference[cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!
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####Version Check
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Plotly's Python API is updated frequently. Run pip install plotly --upgrade to update your Plotly version.
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```python
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import plotly
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plotly.__version__
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```
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import plotly.graph_objectsas go
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```python
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import plotly.plotlyas py
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import plotly.graph_objsas go
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trace1= go.Scatter(
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fig= go.Figure()
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fig.add_trace(go.Scatter(
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x=[0,1,2,3,4,5,6,7,8],
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y=[0,1,2,3,4,5,6,7,8],
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name='Name of Trace 1'
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)
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trace2= go.Scatter(
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name="Name of Trace 1"
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))
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fig.add_trace(go.Scatter(
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x=[0,1,2,3,4,5,6,7,8],
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y=[1,0,3,2,5,4,7,6,8],
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name='Name of Trace 2'
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)
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data= [trace1, trace2]
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layout= go.Layout(
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name="Name of Trace 2"
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))
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fig.update_layout(
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title=go.layout.Title(
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text='Plot Title',
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xref='paper',
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text="Plot Title",
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xref="paper",
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x=0
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),
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xaxis=go.layout.XAxis(
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title=go.layout.xaxis.Title(
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text='x Axis',
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text="x Axis",
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font=dict(
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family='Courier New, monospace',
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family="Courier New, monospace",
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size=18,
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color='#7f7f7f'
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color="#7f7f7f"
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)
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)
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),
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yaxis=go.layout.YAxis(
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title=go.layout.yaxis.Title(
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text='y Axis',
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text="y Axis",
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font=dict(
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family='Courier New, monospace',
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family="Courier New, monospace",
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size=18,
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color='#7f7f7f'
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color="#7f7f7f"
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)
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)
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)
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)
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fig= go.Figure(data=data,layout=layout)
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py.iplot(fig,filename='styling-names')
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```
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####Dash Example
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[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its[source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-figurelabelsplot) can easily be deployed to a PaaS.