![]() ![]() Plotly Express currently includes the following functions: ![]() Here is a talk from the SciPy 2021 conference that gives a good introduction to Plotly Express and Dash: Scroll down for a gallery of Plotly Express plots, each made in a single function call. The API for these functions was carefully designed to be as consistent and easy to learn as possible, making it easy to switch from a scatter plot to a bar chart to a histogram to a sunburst chart throughout a data exploration session. Plotly Express provides more than 30 functions for creating different types of figures. Any figure created in a single function call with Plotly Express could be created using graph objects alone, but with between 5 and 100 times more code. Throughout the plotly documentation, you will find the Plotly Express way of building figures at the top of any applicable page, followed by a section on how to use graph objects to build similar figures. Every Plotly Express function uses graph objects internally and returns a aph_objects.Figure instance. Plotly Express is a built-in part of the plotly library, and is the recommended starting point for creating most common figures. Matplotlib uses a dictionary from its colors.py module.įor name, hex in ():įor name, hex in plotly.express module (usually imported as px) contains functions that can create entire figures at once, and is referred to as Plotly Express or PX. This is more similar to specifying and RGB tuple rather than a named color (apart from the fact that the hex code is passed as a string), and I will not include an image of the 16 million colors you can choose from.įor more details, please refer to the matplotlib colors documentation and the source file specifying the available colors, _color_data.py. You can also plot colors by their HTML hex code: plt.plot(, lw=4, c='#8f9805') The default Tableau colors are available in matplotlib via the 'tab:' prefix: plt.plot(, lw=4, c='tab:green') Now you have access to a plethora of named colors! If you would like to use additional named colors when plotting with matplotlib, you can use the xkcd crowdsourced color names, via the 'xkcd:' prefix: plt.plot(, lw=4, c='xkcd:baby poop green') I merged my previous updates into this section. X, Y = fig.get_dpi() * fig.get_size_inches()Īx.text(xi_text, y, name, fontsize=(h * 0.8), # Sort colors by hue, saturation, value and name.īy_hsv = sorted((tuple(mcolors.rgb_to_hsv(mcolors.to_rgba(color))), name) ![]() import matplotlib.pyplot as pltĬolors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS) I really didn't change much from the matplotlib example, but here is the code for completeness. ![]() I updated the image and code to reflect that 'rebeccapurple' has been added and the three sage colors have been moved under the 'xkcd:' prefix since I posted this answer originally. The order is not identical to how I would sort by eye, but I think it gives a good overview. I prefer the colors to be grouped with similar colors, so I slightly tweaked the matplotlib answer that was mentioned in a comment above to get a color list sorted in columns. The previous answers are great, but I find it a bit difficult to get an overview of the available colors from the posted image. I constantly forget the names of the colors I want to use and keep coming back to this question =) ![]()
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