Python cheat sheet plotly

Scatter plot using Plotly in Python

Plotly is a Python library which is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot and many more. It is mainly used in data analysis as well as financial analysis. Plotly is an interactive visualization library.

Scatter Plot

A scatter plot is a diagram where each value is represented by the dot graph. Scatter plot needs arrays for the same length, one for the value of x-axis and other value for the y-axis. Each data is represented as a dot point, whose location is given by x and y columns. It can be created using the scatter() method of plotly.express

Syntax: plotly.express.scatter(data_frame=None, x=None, y=None, color=None, symbol=None, size=None, hover_name=None, hover_data=None, custom_data=None, text=None, facet_row=None, facet_col=None, facet_col_wrap=0, error_x=None, error_x_minus=None, error_y=None, error_y_minus=None, animation_frame=None, animation_group=None, category_orders=<>, labels=<>, orientation=None, color_discrete_sequence=None, color_discrete_map=<>, color_continuous_scale=None, range_color=None, color_continuous_midpoint=None, symbol_sequence=None, symbol_map=<>, opacity=None, size_max=None, marginal_x=None, marginal_y=None, trendline=None, trendline_color_override=None, log_x=False, log_y=False, range_x=None, range_y=None, render_mode=’auto’, title=None, template=None, width=None, height=None)

The marker color. Possible values:

A single color format string.

A sequence of color specifications of length n.

A sequence of n numbers to be mapped to colors using cmap and norm.

A 2-D array in which the rows are RGB or RGBA

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Plotly is a powerful package for creating clean data visualizations in python. In this cheatsheet you will get usefull code snippets to create presentation-ready charts directly in python with plotly.

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README.md

Plotly is a powerful library for creating clean data visualizations in Python.

In this cheatsheet you will find useful code snippets to create presentation-ready charts directly in Python using Plotly.

Examples created with the code snippets

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Plotly is a powerful package for creating clean data visualizations in python. In this cheatsheet you will get usefull code snippets to create presentation-ready charts directly in python with plotly.

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Python Plotly Dash Cheat Sheet

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plotly_cufflinks_cheat_sheet_2

Plotly and Cufflinks for plotting with Pandas¶ ¶

Get cufflinks¶ ¶

Cufflinks integrates plotly with pandas to allow plotting right from pandas dataframes. Install using pip

import numpy as np import pandas as pd import cufflinks as cf from plotly.offline import download_plotlyjs, init_notebook_mode from plotly.offline import plot, iplot #set notebook mode init_notebook_mode(connected=True) cf.go_offline() 

IOPub data rate exceeded. The notebook server will temporarily stop sending output to the client in order to avoid crashing it. To change this limit, set the config variable `--NotebookApp.iopub_data_rate_limit`.

df = pd.DataFrame(np.random.randn(100,4), columns='A B C D'.split(' ')) df.head() 

A	B	C	D
0	-1.539048	-0.876097	-0.236866	-0.591233
1	-0.347391	0.584317	1.223430	0.269432
2	0.342396	-1.198989	0.692799	0.451392
3	-2.244973	0.979081	-0.896566	-0.114954
4	-1.358436	1.246352	1.182089	-1.072197

df2 = pd.DataFrame('category':['A','B','C'], 'values':[33,56,67]>) df2 

interactive plotting¶ ¶

line plots¶ ¶

With Plotly, you can turn on and off data values by clicking on the legend

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