Closed hengaini2055 closed 1 year ago
OS: windows 11 Browser: Chrome Python: 3.11.3 Other virtualenv libraries:
Package Version ------------------------ -------- altair 5.0.1 anyio 3.7.0 argon2-cffi 21.3.0 argon2-cffi-bindings 21.2.0 arrow 1.2.3 asttokens 2.2.1 async-lru 2.0.2 attrs 23.1.0 Babel 2.12.1 backcall 0.2.0 beautifulsoup4 4.12.2 bleach 6.0.0 bokeh 3.1.1 certifi 2023.5.7 cffi 1.15.1 charset-normalizer 3.1.0 click 8.1.3 colorama 0.4.6 colorcet 3.0.1 colour 0.1.5 comm 0.1.3 contourpy 1.0.7 cycler 0.11.0 debugpy 1.6.7 decorator 5.1.1 defusedxml 0.7.1 executing 1.2.0 fastjsonschema 2.17.1 fonttools 4.39.4 fqdn 1.5.1 holoviews 1.16.0 hvplot 0.8.3 idna 3.4 ipykernel 6.23.1 ipython 8.13.2 isoduration 20.11.0 jedi 0.18.2 Jinja2 3.1.2 json5 0.9.14 jsonpointer 2.3 jsonschema 4.17.3 jupyter_client 8.2.0 jupyter_core 5.3.0 jupyter-events 0.6.3 jupyter-lsp 2.2.0 jupyter_server 2.6.0 jupyter_server_terminals 0.4.4 jupyterlab 4.0.1 jupyterlab-pygments 0.2.2 jupyterlab_server 2.22.1 katex 0.0.4 kiwisolver 1.4.4 linkify-it-py 2.0.2 Markdown 3.4.3 markdown-it-py 2.2.0 MarkupSafe 2.1.2 matplotlib 3.7.1 matplotlib-inline 0.1.6 mdit-py-plugins 0.3.5 mdurl 0.1.2 mistune 2.0.5 nbclient 0.8.0 nbconvert 7.4.0 nbformat 5.9.0 nest-asyncio 1.5.6 notebook_shim 0.2.3 numpy 1.24.3 overrides 7.3.1 packaging 23.1 pandas 2.0.2 pandocfilters 1.5.0 panel 1.0.4 param 1.13.0 parso 0.8.3 pickleshare 0.7.5 Pillow 9.5.0 pip 23.1.2 platformdirs 3.5.1 plotly 5.14.1 prometheus-client 0.17.0 prompt-toolkit 3.0.38 psutil 5.9.5 pure-eval 0.2.2 pycparser 2.21 pyct 0.5.0 Pygments 2.15.1 pyparsing 3.0.9 pyrsistent 0.19.3 python-dateutil 2.8.2 python-json-logger 2.0.7 pytz 2023.3 pyviz-comms 2.3.0 pywin32 306 pywinpty 2.0.10 PyYAML 6.0 pyzmq 25.1.0 requests 2.31.0 rfc3339-validator 0.1.4 rfc3986-validator 0.1.1 Send2Trash 1.8.2 setuptools 67.7.2 six 1.16.0 sniffio 1.3.0 soupsieve 2.4.1 stack-data 0.6.2 tenacity 8.2.2 terminado 0.17.1 tinycss2 1.2.1 toolz 0.12.0 tornado 6.3.2 tqdm 4.65.0 traitlets 5.9.0 typing_extensions 4.6.2 tzdata 2023.3 uc-micro-py 1.0.2 uri-template 1.2.0 urllib3 2.0.2 wcwidth 0.2.6 webcolors 1.13 webencodings 0.5.1 websocket-client 1.5.2 wheel 0.40.0 xyzservices 2023.5.0
The code as follows:
import panel as pn import pandas as pd import altair as alt import plotly.graph_objects as go from bokeh.sampledata import stocks from matplotlib.figure import Figure pn.extension('plotly', 'vega', 'tabulator', template='bootstrap') import hvplot.pandas tickers = ['AAPL', 'FB', 'GOOG', 'IBM', 'MSFT'] def get_df(ticker, window_size): df = pd.DataFrame(getattr(stocks, ticker)) df['date'] = pd.to_datetime(df.date) return df.set_index('date').rolling(window=window_size).mean().reset_index() def get_altair(ticker, window_size): df = get_df(ticker, window_size) return alt.Chart(df).mark_line().encode(x='date', y='close').properties( width="container", height=400 ) def get_hvplot(ticker, window_size): df = get_df(ticker, window_size) return df.hvplot.line('date', 'close', grid=True, responsive=True, height=400) def get_mpl(ticker, window_size): fig = Figure(figsize=(10, 6)) ax = fig.subplots() df = get_df(ticker, window_size) df.plot.line('date', 'close', ax=ax) return fig def get_plotly(ticker, window_size): df = get_df(ticker, window_size) return go.Scatter(x=df.date, y=df.close) plot_fns = { 'altair': get_altair, 'hvplot': get_hvplot, 'matplotlib': get_mpl, 'plotly': get_plotly } backend = pn.widgets.Select(name='Backend', options=plot_fns) ticker = pn.widgets.Select(name='Ticker', options=['AAPL', 'FB', 'GOOG', 'IBM', 'MSFT']) window = pn.widgets.IntSlider(name='Window', value=6, start=1, end=21) def update(event): row[1] = pn.panel(backend.value(ticker.value, window.value), sizing_mode='stretch_width') backend.param.watch(update, 'value') ticker.param.watch(update, 'value') window.param.watch(update, 'value') # st = pn.widgets.Tabulator(get_df('IBM', 6), page_size=5) row = pn.Row( pn.Column(backend, ticker, window), pn.panel(backend.value(ticker.options[0], window.value)) ) # row2 = pn.Column(row, st) row.servable()
panel serve st.py --autoreload
We do not ship the source maps as to avoid bloating the size of the Panel package any further. Do you actually need these sourcemaps or are you simply worried by those warnings?
I only worry by these warnings!
ALL software version info
OS: windows 11 Browser: Chrome Python: 3.11.3 Other virtualenv libraries:
Description of expected behavior and the observed behavior
The code as follows:
Complete, minimal, self-contained example code that reproduces the issue
Stack traceback and/or browser JavaScript console output
Screenshots or screencasts of the bug in action