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安裝中文字典英文字典辭典工具!
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- seaborn: statistical data visualization — seaborn 0. 13. 2 documentation
Seaborn is a Python data visualization library based on matplotlib It provides a high-level interface for drawing attractive and informative statistical graphics For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper
- User guide and tutorial — seaborn 0. 13. 2 documentation
An introduction to seaborn A high-level API for statistical graphics; Multivariate views on complex datasets; Opinionated defaults and flexible customization
- An introduction to seaborn — seaborn 0. 13. 2 documentation
An introduction to seaborn# Seaborn is a library for making statistical graphics in Python It builds on top of matplotlib and integrates closely with pandas data structures Seaborn helps you explore and understand your data
- Installing and getting started — seaborn 0. 13. 2 documentation
Once you have seaborn installed, you’re ready to get started To test it out, you could load and plot one of the example datasets:
- API reference — seaborn 0. 13. 2 documentation
seaborn objects Dots seaborn objects Line seaborn objects Lines seaborn objects Path seaborn objects Paths seaborn objects Dash seaborn objects Range seaborn objects Bar seaborn objects Bars seaborn objects Area seaborn objects Band seaborn objects Text seaborn objects Agg seaborn objects Est seaborn objects Count
- Example gallery — seaborn 0. 13. 2 documentation
Example gallery# lmplot scatterplot
- seaborn. lineplot — seaborn 0. 13. 2 documentation
seaborn lineplot (data = None, *, x = None, y = None, hue = None, size = None, style = None, units = None, weights = None, palette = None, hue_order = None, hue_norm = None, sizes = None, size_order = None, size_norm = None, dashes = True, markers = None, style_order = None, estimator = 'mean', errorbar = ('ci', 95), n_boot = 1000, seed = None
- seaborn. scatterplot — seaborn 0. 13. 2 documentation
seaborn scatterplot (data = None, *, x = None, y = None, hue = None, size = None, style = None, palette = None, hue_order = None, hue_norm = None, sizes = None, size_order = None, size_norm = None, markers = True, style_order = None, legend = 'auto', ax = None, ** kwargs) #
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