Hi,
I’ve tried using the hvplot.explorer() function without any luck.
I’ve copy-pasted the code from the panel website (link
Code:
import io
import panel as pn
import pandas as pd
import hvplot.pandas
pn.extension(template='fast')
pn.state.template.title = 'hvPlot Explorer'
upload = pn.widgets.FileInput(name='Upload file', height=50)
select = pn.widgets.Select(options={
'Penguins': 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv',
'Diamonds': 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/diamonds.csv',
'Titanic': 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/titanic.csv',
'MPG': 'https://raw.githubusercontent.com/mwaskom/seaborn-data/master/mpg.csv'
})
def add_data(event):
b = io.BytesIO()
upload.save(b)
b.seek(0)
name = '.'.join(upload.filename.split('.')[:-1])
select.options[name] = b
select.param.trigger('options')
select.value = b
upload.param.watch(add_data, 'filename')
def explore(csv):
df = pd.read_csv(csv)
explorer = hvplot.explorer(df)
def plot_code(**kwargs):
code = f'```python\n{explorer.plot_code()}\n```'
return pn.pane.Markdown(code, sizing_mode='stretch_width')
return pn.Column(
explorer,
'**Code**:',
pn.bind(plot_code, **explorer.param.objects())
)
widgets = pn.Column(
"Select an existing dataset or upload one of your own CSV files and start exploring your data.",
pn.Row(
select,
upload,
)
).servable()
output = pn.panel(pn.bind(explore, select)).servable()
pn.Column(widgets, output)
But I get the error message: <AttributeError: module ‘hvplot’ has no attribute ‘explorer’>
If I use hvplot.ui.hvPlotExplorer(df) I can create the explorer in general, but if I insert this into the example it now fails due to: <AttributeError: ‘hvDataFrameExplorer’ object has no attribute ‘plot_code’>
Is the example simply outdated? Or am I doing something wrong?
Best,
Jesper
