C:\Users\power\AppData\Local\Continuum\anaconda3\lib\site-packages\IPython\core\formatters.py:345: UserWarning: Unexpected error in rendering Lux widget and recommendations. Falling back to Pandas display. Please report the following issue on Github: https://github.com/lux-org/lux/issues

C:\Users\power\AppData\Local\Continuum\anaconda3\lib\site-packages\lux\core\frame.py:653: UserWarning:Traceback (most recent call last): File "C:\Users\power\AppData\Local\Continuum\anaconda3\lib\site-packages\lux\core\frame.py", line 592, in repr_html return [] File "C:\Users\power\AppData\Local\Continuum\anaconda3\lib\site-packages\lux\core\frame.py", line 109, in maintain_metadata if not hasattr(self, "_metadata_fresh") or not self._metadata_fresh: File "C:\Users\power\AppData\Local\Continuum\anaconda3\lib\site-packages\lux\executor\PandasExecutor.py", line 504, in compute_stats File "C:\Users\power\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\generic.py", line 11475, in stat_func func, name=name, axis=axis, skipna=skipna, numeric_only=numeric_only File "C:\Users\power\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\series.py", line 4249, in _reduce return op(delegate, skipna=skipna, **kwds) File "C:\Users\power\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\nanops.py", line 120, in f result = bn_func(values, axis=axis, **kwds) TypeError: 'NoneType' object is not callable

used "pip install lux-api==0.2.1 jupyter nbextension install --py luxwidget jupyter nbextension enable --py luxwidget"，But it's still wrong.

I am using lux library for visualizations. I have a Vis object and want to save the image. I tried using save_as_html but i am getting the following error: 'Vis' object has no attribute 'save_as_html'. How can i save the image? Below attached the screenshot of the code.

Added more regex checking within the ID checking to cover more cases. Also, added to check if the difference between consecutive ID values is the same - even intervals.

Had a query regarding falsely identifying columns that are NOT IDs but are still recognized as IDs.

Added more datasets for testing.

Update 12:23AM PST 16th Jan: Complete

I used follow commend to instal lux widget. pip install git+https://github.com/lux-org/lux-widget jupyter nbextension install --py luxWidget jupyter nbextension enable --py luxWidget

It's ok but the widget is not appear in Jupyter notebook. My environment is conda 4.8.5. and Python is 3.7.8.

RecursionError: maximum recursion depth exceeded while calling a Python object

import lux
import pandas as pd

# creating a Dataframe object 
df = pd.DataFrame(dict_country)
  
df

I am attaching the log messages; hopefully that might be helpful in following where the issue might be. error.log

lux version: 0.4.0 panda version: 1.2.5

I have installed the lux api using the following commands:

pip install lux-api jupyter nbextension install --py luxwidget jupyter nbextension enable --py luxwidget

The Jupyter nbextension list does include: luxwidget/extension enabled - Validating: ok

However, when i read the csv file, it does not show the toggle option between lux and pandas After using lux.config.default_display='lux' , i get the following error

C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\formatters.py:345: UserWarning: Unexpected error in rendering Lux widget and recommendations. Falling back to Pandas display. Please report the following issue on Github: https://github.com/lux-org/lux/issues

C:\ProgramData\Anaconda3\lib\site-packages\lux\core\frame.py:700: UserWarning:Traceback (most recent call last): File "C:\ProgramData\Anaconda3\lib\site-packages\lux\core\frame.py", line 651, in repr_html self.maintain_recs() File "C:\ProgramData\Anaconda3\lib\site-packages\lux\core\frame.py", line 480, in maintain_recs custom_action_collection = custom_actions(rec_df) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\action\custom.py", line 74, in custom_actions recommendation = lux.config.actions[action_name].action(ldf, args) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\action\univariate.py", line 96, in univariate vlist = VisList(intent, ldf) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\vis\VisList.py", line 43, in init self.refresh_source(self._source) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\vis\VisList.py", line 318, in refresh_source lux.config.executor.execute(self._collection, ldf) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\executor\PandasExecutor.py", line 98, in execute PandasExecutor.execute_aggregate(vis, isFiltered=filter_executed) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\executor\PandasExecutor.py", line 179, in execute_aggregate vis.data.groupby(groupby_attr.attribute, dropna=False, history=False) File "C:\ProgramData\Anaconda3\lib\site-packages\lux\core\frame.py", line 932, in groupby groupby_obj = super(LuxDataFrame, self).groupby(*args, **kwargs) TypeError: groupby() got an unexpected keyword argument 'dropna'

In this PR

Closes #265 and #217 by modifying Histogram.py and providing a start, end, and step bin for the Altair renderer. The bin width, step, is stored in the Vis object during PandasExecutor.py#execute_binning().

Changes

• Modifications in vislib/altair/Histogram.py and executor/PandasExecutor.py
• Additional instance variable, .__bin_size, in Vis.py

Example Output

Here is an updated screenshot for histogram binning along the x-axis. As an example,

df = pd.read_csv("https://github.com/covidvis/covid19-vis/blob/master/data/interventionFootprintByState.csv?raw=True",index_col=0)
df['dateBefore'] = pd.to_datetime(df['dateBefore'], format='%Y-%M-%d')
df

This yields the following output for Distribution histograms:

Then, we can specify intent to view Filter histograms.

df.intent = ["severityScore"]
df

Here is another screenshot to show histogram binning along the y-axis, which remains unchanged.

Lux Jupyter widget does show up when I print a dataframe but nothing appears as visualization . Output is null .

Jupyter nbextensions are also validated

Hello,

I'm not sure if this is the right place to ask.

I like Lux! Great work!

I was wondering is it possible to change the size of the widget, especially when exporting it as html? I find the height a bit small and it would be greate if you could increase the hight (and width).

I managed to increase the size of the figures but I am struggling with the size of the frame/div.

In both Safari and Brave on iPad, and Firefox on Desktop, when I click on the Toggle pandas/lux button, all that happens is that the cell output is toggled away, no lux plots appear. Thinking it might be slower execution on Binder, I waited 2 minutes for something to appear, but nothing happened. I also tried the 2nd gallery example with the same issue. No errors shown either.

Overview

Merging in the sql-engine branch to bring the updated Lux SQL functionality to the main release. Users will be able to connect LuxSQLTable objects to their database tables and views, and leverage Lux' recommendation system without having to pull all of their database data locally.

Changes

This PR will update the Lux SQLExecutor as well as add a new LuxSQLTable object. The LuxSQLTable object is meant to help users differentiate between Lux' functionality when connecting to a Dataframe versus a SQL database. This PR makes the following major changes:

• Updates SQLExecutor.py to query data necessary for all of Lux' supported charts
• Adds sqltable.py which contains the LuxSQLTable class. This class inherits the Lux recommendation system utilities from the LuxDataFrame object
• Adjusts frame.py to ensure metadata and recommendation maintenance works when using the SQLExecutor
• Adds scripts to test the functionality of the SQLExecutor

Example Output

Script to reproduce: After setting up Postgres, go into command line via psql postgres, then setup via:

CREATE USER postgres WITH PASSWORD 'lux';
ALTER USER postgres WITH SUPERUSER;
DROP schema public cascade;
CREATE schema public;
CREATE DATABASE postgres;

Then run python upload_car_data.py or other data upload scripts inside lux/data

from sqlalchemy import create_engine
engine = create_engine("postgresql://postgres:[email protected]:5432")

tbl = lux.LuxSQLTable()
lux.config.set_SQL_connection(engine)
tbl.set_SQL_table("car")

tbl

Users will now be able to connect Lux to their database tables like so:

Describe the bug Could not observe visualizations for the dataframe

To Reproduce Please refer to the dataset here Link

1. Using this data: redwine_data = pd.read_csv('data/winequality-red.csv', sep=';')
2. Looking at the dataframe: 'redwine_data'
3. Figure 1 shows the dataframe
4. When I click on 'Toggle Pandas/Lux', nothing happens, the response is empty in figure 2

Describe the bug C:\Users\mukta\anaconda3\lib\site-packages\IPython\core\formatters.py:918: UserWarning: Unexpected error in rendering Lux widget and recommendations. Falling back to Pandas display.

It occured while using GroupBy function in pandas module

To Reproduce Please describe the steps needed to reproduce the behavior. For example:

1. Using this data: df = pd.read_csv("Play Store Data.csv")
2. Go to 'df1.groupby(['Category', 'Content Rating']).mean()'
3. See error

File "C:\Users\mukta\anaconda3\lib\site-packages\altair\utils\core.py", line 307, in sanitize_dataframe raise ValueError("Hierarchical indices not supported") ValueError: Hierarchical indices not supported

Overview

• Fix a typo in an error message

Changes

• No functional change, just improves error messaging for consumers who might pass misspelled columns into their dataframe intents.

Example Output

• N/A

Overview

This implementation of LUX adds the option of utilizing NVIDIA GPUs, with RAPIDS cuDF and HoloViews as the plotting engine. It is capable of a speed up 3-10X compared to the original LUX, and avoids browser memory issues when dealing with datasets in the millions+ rows (measured on the NVIDIA RTX A3000 Laptop GPU).

HoloViews

HoloViews does not require the creation of a JSON file which for larger datasets is both memory and time expensive. It is able to show magnitudes of more data points on its curve without being time consuming, also removing the constraint of having to fall back to heatmaps rather than scatter plots, when the number of rows is too high. In this implementation we have not relied on the LUX widget for displaying the charts, for simplicity in viewing.

To Run

To run the cuDF + HoloViews implementation, simply do the following

#If global_backend is defined as "holoviews" then cuDF and HoloViews will be used, otherwise no need to define backend.set_back
from global_backend import backend
backend.set_back = "holoviews"
import lux
import pandas as pd
if backend.set_back == "holoviews":
    import cudf

To plot the HoloViews curves, run df.maintain_recs() rather than df in a different cell.

Example Output

A brief output is shown below

Next Steps

This implementation is a proof of concept demonstrating the acceleration that RAPIDS can bring to LUX. It also shows the benefits of adding HoloViews as an additional option for plotting. @exactlyallan, @AjayThorve and I would like to discuss if and how an integration like this might proceed, @dorisjlee?

Describe the bug My platform : Window10， After i create fcntl.py, i got this error. I know that windows did not contain termios pkgs, is there any alternative?

Here is the error text:
Collecting sh
  Using cached sh-1.14.3.tar.gz (62 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [12 lines of output]
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "C:\Users\user\AppData\Local\Temp\pip-install-c6_3ptet\sh_a745e2298f624f949a4fe5872652dea0\setup.py", line 5, in <module>
          import sh
        File "C:\Users\user\AppData\Local\Temp\pip-install-c6_3ptet\sh_a745e2298f624f949a4fe5872652dea0\sh.py", line 45, in <module>
          import pty
        File "D:\ProgramData\anaconda3\envs\lib\pty.py", line 12, in <module>
          import tty
        File "D:\ProgramData\anaconda3\envs\lib\tty.py", line 5, in <module>
          from termios import *
      ModuleNotFoundError: No module named 'termios'
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

When trying to install the package via pip install lux-api the following error occurs:

ERROR: Command errored out with exit status 1:
     command: 'c:\code\eda_research\venv\scripts\python.exe' -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\I574778\\AppData\\Local\\Temp\\pip-install-3uvkz52y\\sh\\setup.py'"'"'; __file__='"'"'C:\\Users\\I574778\\AppData\\Local\\Temp\\pip-install-3uvkz52y\\sh\\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base 'C:\Users\I574778\AppData\Local\Temp\pip-pip-egg-info-arz193lv'
         cwd: C:\Users\I574778\AppData\Local\Temp\pip-install-3uvkz52y\sh\
    Complete output (7 lines):
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "C:\Users\I574778\AppData\Local\Temp\pip-install-3uvkz52y\sh\setup.py", line 5, in <module>
        import sh
      File "C:\Users\I574778\AppData\Local\Temp\pip-install-3uvkz52y\sh\sh.py", line 37, in <module>
        import fcntl
    ModuleNotFoundError: No module named 'fcntl'

I'm using Python==3.8.9.