plotly-light 1.0.4

A wrapper of Plotly Python for lightweight plots

Plotly Light

A wrapper of Plotly Python aiming for lightweight plots and ease of use.

Main features

:heavy_check_mark: [SMALLER PLOT SIZE] Plotly Light does not keep all raw data for a bar plot including a histogram, meaning you can keep the file size of a Jupyter Notebook file or a HTML file containing the plot very small even when drawing a histogram with a huge dataset.

:heavy_check_mark: [SEPARATE DIRECTORY FOR HTML PLOTS] By default, each plot drawn by Plotly Light in a Jupyter Notebook is saved as a HTML file in a directory named <notebook-basename>.iframe_figures/, enabling us to keep the file size of a Notebook small and to easily obtain a single HTML file only of a plot. This feature can be disabled.

:heavy_check_mark: [COMPREHENSIBLE FUNCTION ARGUMENTS] All positional and optional arguments of the functions in Plotly Light are explicitly written (without using *args nor **kwargs), meaning you can easily find an argument you want by peeking the definition and docstring of a function (which is a feature typically provided by Jupyter Notebook and other editors).

:x: [LIMITED FEATURES AVAILABLE] We provide only basic plotting functions and features, meaning not everything you can do with the original Plotly can be done with Plotly Light. However, Plotly Light is usually sufficient for most of the simple purposes.

Requirements

• Python >= 3.7 (CPython is recommended)
• Other required Python packages are specified in setup.cfg and installed automatically.

How to install

$ git clone https://github.com/yoshihikosuzuki/plotly_light
$ cd plotly_light
$ python setup.py install

How to use

The single line below imports Plotly Light (We strongly recommend the following alias just like numpy and pandas):

import plotly_light as pl

init_notebook_mode(connected=True) is automatically run if imported in a Notebook.

Every function/class/type named XXX offered by Plotly Light can be called as pl.XXX, and in Jupyter Notebook, you can see the list of available functions via completion by pressing TAB after typing pl. as follows:

The list and description of arguments of a function/class can be shown by executing pl.XXX? in a cell. For example, pl.hist? will show this:

Usage example: Drawing a simple histogram in a Jupyter Notebook

The code below draws a histgram of many random numbers. You can confirm the file sizes of both the Notebook and the plot do not increase even with a very large k, the number of data. With the original Plotly, the file size increases in proportion to the data size.

import random
data = random.choices(list(range(10)), k=10000)
trace = pl.hist(data, bin_size=1)
pl.show(trace)

(NOTE: If running in a Jupyter Notebook, each plot is by default stored in a directory named <notebook-basename>.iframe_figures/ as an HTML file and embedded to the Notebook with <iframe>. You can change this setting by selecting a differnt renderer (see the next section).)

By default, the legend is not shown. You can show it with arbitrary name of the histogram:

trace = pl.hist(data, bin_size=1, name="Random", show_legend=True)
pl.show(trace)

You can also use a custom layout. For example, the following code sets axis labels and makes the x-axis reversed:

layout = pl.layout(x_title="Number", y_title="Frequency", x_reversed=True)
pl.show(trace, layout)

Changing the default layout, config, and renderer of the plots

Layout

Plotly Light's default layout is tuned based on the original Plotly's simple_white theme. It is stored in the variable pl.default.layout as a dict:

{'annotationdefaults': {'arrowhead': 0, 'arrowwidth': 1},
 'autotypenumbers': 'strict',
 'coloraxis': {'colorbar': {'outlinewidth': 1,
   'tickcolor': 'lightgray',
   'ticks': ''}},
...

You can update the default layout with a layout object. For example, the following code changes the default font size and margin size:

pl.update_default_layout(pl.layout(font_size=40,
                                   margin=dict(l=10, r=10, t=100, b=10)))

Or you can permanently change the default layout by modifying the src/default.py file and re-installing Plotly Light.

Config

The default config is managed in the same manner as the default layout. The pl.default.config variable is by default the following dict:

{'showTips': False,
 'displaylogo': False,
 'modeBarButtonsToAdd': ['hoverclosest', 'hovercompare'],
 'toImageButtonOptions': {'format': 'svg'}}

and you can update it with a dict:

pl.update_default_config({'toImageButtonOptions': {'format': 'png'}})

Renderer

The renderer is automatically determined based on the environment in which Plotly Light is imported. The name of the current renderer is stored in the pl.default.renderer as a str. If imported in a Jupyter Notebook, then the renderer shuould be iframe_connected where each plot is saved as an HTML file and embedded to the Notebook with <iframe>. You can select a different renderer:

pl.set_default_renderer("plotly_mimetype+notebook_connected")

The list of the availble renderers is written in the docstring of pl.set_default_renderer:

...
positional_arguments:
  @ renderer_name : A plotly theme name like:
                     {"plotly_mimetype",
                      "browser",
                      "notebook[_connected]",
                      "iframe[_connected]"}
...

List of functions

Every function XXX below can be called by pl.XXX, and pl.XXX? shows its docstring in Jupyter.

Trace object

• hist
  • Lightweight histogram using a go.Bar instead of go.Histogram.
• bar
  • Wrapper for go.Bar.
• scatter
  • Wrapper for go.Scatter.
• lines
  • For line(s) especially with multiple types of widths and/or colors.
  • Can also be generated as shapes in go.Layout by specifying the use_shape=True argument, although traces are more lightweight when the number of lines is large.

Shape object

• rect
  • Utility for generating a rectangle shape object.

Layout object

• layout
  • Utility for a go.Layout object.
• merge_layout
  • Update a layout with other layouts.

Figure object

• figure
  • Wrapper of go.Figure.

Drawing a plot

• show
  • Wrapper of fig.show.
• show_image
  • Load and show a (zoomable by default) image file.

Others

• venn
  • Venn diagram using matplotlib-venn (not a Trace nor Figure object)

Configuration (see the previous section)

• update_default_layout
• update_default_config
• set_default_renderer
• set_default_colors