eg dZddlZddlZddlZeejeddZddl m Z ddl m Z m Z dd lmZdd lmZdd lmZmZdd lmZmZmZmZdd lmZddlmZmZmZm Z m!Z!ddl"m#Z#m$Z$ddl%m&Z&m'Z'm(Z(m)Z)m*Z*ddl+m,Z,ddl-Tddl-m.Z/ddl0m1Z1ddl m2Z2m3Z3m4Z4m5Z5m6Z6m7Z7ddl8m9Z9ddl:m;Z;mZ>ddl?Z?e?j@dddejAvr ddlBmCZCeCZ2nGddejDZCd ejAvrdd!lEmFZFmGZGeFrd"e2_HneGZ2[G[FejIJd#d$ejKLejKMejKNedd%d&d'd(fD]ZOejKPeOZQejKReQreSeQd)*5ZTeUeTVeQd+ZW eXeWn-#eY$r%ZZe[d,eQd-eeZd.YdZZ[ZndZZ[ZwwxYwdddn #1swxYwY[T[Wn[Q d2d0Z\d1Z][[O[?dS)3ui HoloViews makes data analysis and visualization simple ====================================================== HoloViews lets you focus on what you are trying to explore and convey, not on the process of plotting. HoloViews - supports a wide range of data sources including Pandas, Dask, XArray Rapids cuDF, Streamz, Intake, Geopandas, NetworkX and Ibis. - supports the plotting backends Bokeh (default), Matplotlib and Plotly. - allows you to drop into the rest of the HoloViz ecosystem when more power or flexibility is needed. For basic data exploration we recommend using the higher level hvPlot package, which provides the familiar Pandas `.plot` api. You can drop into HoloViews when needed. To learn more check out https://holoviews.org/. To report issues or contribute go to https://github.com/holoviz/holoviews. To join the community go to https://discourse.holoviz.org/. How to use HoloViews in 3 simple steps -------------------------------------- Work with the data source you already know and ❤️ >>> import pandas as pd >>> station_info = pd.read_csv('https://raw.githubusercontent.com/holoviz/holoviews/main/examples/assets/station_info.csv') Import HoloViews and configure your plotting backend >>> import holoviews as hv >>> hv.extension('bokeh') Annotate your data >>> scatter = ( ... hv.Scatter(station_info, kdims='services', vdims='ridership') ... .redim( ... services=hv.Dimension("services", label='Services'), ... ridership=hv.Dimension("ridership", label='Ridership'), ... ) ... .opts(size=10, color="red", responsive=True) ... ) >>> scatter In a notebook this will display a nice scatter plot. Note that the `kdims` (The key dimension(s)) represents the independent variable(s) and the `vdims` (value dimension(s)) the dependent variable(s). For more check out https://holoviews.org/getting_started/Introduction.html How to get help --------------- You can understand the structure of your objects by printing them. >>> print(scatter) :Scatter [services] (ridership) You can get extensive documentation using `hv.help`. >>> hv.help(scatter) In a notebook or ipython environment the usual - `help` and `?` will provide you with documentation. - `TAB` and `SHIFT+TAB` completion will help you navigate. To ask the community go to https://discourse.holoviz.org/. To report issues go to https://github.com/holoviz/holoviews. Nz $Format:%h$ holoviews)fpatharchive_commitreponame)util)archiveconfig) BoundingBox) Dimension)ElementCollator)LayoutNdLayoutEmpty AdjointLayout) NdMapping)OptionsStoreCyclePalette StoreOptions)Overlay NdOverlay)HoloMapCallable DynamicMap GridSpace GridMatrix) Operation)*)__all__)link_selections) extensionrendereroutputoptsrendersave)dim)HoloviewsDeprecationWarningHoloviewsUserWarning) show_versionsignorez7elementwise comparison failed; returning scalar instead)messageIPython)notebook_extensionceZdZdZdS)r1c td)Nz9Jupyter notebook not available: use hv.extension instead.) Exception)selfargskwargss 2lib/python3.11/site-packages/holoviews/__init__.py__call__znotebook_extension.__call__wsWXX XN)__name__ __module__ __qualname__r9r:r8r1r1vs( Y Y Y Y Yr:r1_pyodide)in_jupyterlitepyodide_extensionF HOLOVIEWSRCz..z holoviews.rcz~/.holoviews.rcz ~/.config/holoviews/holoviews.rcutf8)encodingexeczWarning: Could not load z []Tc |r|n tj}tj||||||t}d}|rt |dur|nd|zdSddl}||dS)a Extended version of the built-in help that supports parameterized functions and objects. A pattern (regular expression) may be used to filter the output and if recursive is set to True, documentation for the supplied object is shown. Note that the recursive option will only work with an object instance and not a class. If ansi is set to False, all ANSI color codes are stripped out. )ansibackend visualization recursivepatternelementszy To view the visualization options applicable to this object or class, use: holoviews.help(obj, visualization=True) FrCrN)rcurrent_backendinfo elements_listprintpydochelp) objrKrIrJrLrMrPmsgrSs r8rTrTs!;gge&;G :cg] )7] T T TD r:r8rsPJJV c%-''h}1<(>>?? !!!!!!!!,,,,,,%%%%%%++++++++))))))))))))%%%%%%22222222222222,,,,,,,,11111111111111! ------&&&&&&!!!!!!!!!!!!!!!!LLLLLLLL)))))) Y[[[[  ++++++"IIYYYYYU8YYY::::::::~& % >z~~mR00wrw||BGMM(,C,CA,F,0. B BCC 1 3F w!!&))H w~~h T(V , , , L716688Xv66D LT  L L LJJJss1vvJJJKKKKKKKK L  L L L L L L L L L L L L L L L t 59"&4KKKs< I< HIH2 H-(I-H22II I