Image size is too large error. Autoviz creating enormous image sizes

[Benzidrine]

I tried to use Autoviz on the following dataset: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

Using the following code to call Autoviz: dftc = AV.AutoViz('../input/house-prices-advanced-regression-techniques/train.csv', depVar='SalePrice', verbose=0, chart_format='bokeh')

It was unable to display the charts without error giving the following error:

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KeyError Traceback (most recent call last) /tmp/ipykernel_133/4057966485.py in ----> 1 dftc = AV.AutoViz('../input/house-prices-advanced-regression-techniques/train.csv', verbose=0, chart_format='bokeh')

/opt/conda/lib/python3.7/site-packages/autoviz/AutoViz_Class.py in AutoViz(self, filename, sep, depVar, dfte, header, verbose, lowess, chart_format, max_rows_analyzed, max_cols_analyzed, save_plot_dir) 238 dft = AutoViz_Holo(filename, sep, depVar, dfte, header, verbose, 239 lowess,chart_format,max_rows_analyzed, --> 240 max_cols_analyzed, save_plot_dir) 241 else: 242 dft = self.AutoViz_Main(filename, sep, depVar, dfte, header, verbose,

/opt/conda/lib/python3.7/site-packages/autoviz/AutoViz_Holo.py in AutoViz_Holo(filename, sep, depVar, dfte, header, verbose, lowess, chart_format, max_rows_analyzed, max_cols_analyzed, save_plot_dir) 193 ls_objects.append(drawobj6) 194 if len(date_vars) > 0: --> 195 drawobj7 = draw_date_vars_hv(dfin,dep,date_vars, nums, chart_format, problem_type, mk_dir, verbose) 196 ls_objects.append(drawobj7) 197 if len(nums) > 0 and len(cats) > 0:

/opt/conda/lib/python3.7/site-packages/autoviz/AutoViz_Holo.py in draw_date_vars_hv(df, dep, datevars, num_vars, chart_format, modeltype, mk_dir, verbose) 940 if modeltype == 'Regression' or dep == None or dep == '': 941 kind = 'line' --> 942 hv_plot = dft[num_vars+[dep]].hvplot( height=400, width=600,kind=kind, 943 title='Time Series Plot of all Numeric variables and Target').opts(legend_position='top_left') 944 hv_panel = pn.Row(pn.WidgetBox( kind), hv_plot)

/opt/conda/lib/python3.7/site-packages/pandas/core/frame.py in getitem(self, key) 3462 if is_iterator(key): 3463 key = list(key) -> 3464 indexer = self.loc._get_listlike_indexer(key, axis=1)[1] 3465 3466 # take() does not accept boolean indexers

/opt/conda/lib/python3.7/site-packages/pandas/core/indexing.py in _get_listlike_indexer(self, key, axis) 1312 keyarr, indexer, new_indexer = ax._reindex_non_unique(keyarr) 1313 -> 1314 self._validate_read_indexer(keyarr, indexer, axis) 1315 1316 if needs_i8_conversion(ax.dtype) or isinstance(

/opt/conda/lib/python3.7/site-packages/pandas/core/indexing.py in _validate_read_indexer(self, key, indexer, axis) 1375 1376 not_found = list(ensure_index(key)[missing_mask.nonzero()[0]].unique()) -> 1377 raise KeyError(f"{not_found} not in index") 1378 1379

KeyError: "[''] not in index"

Error in callback <function install_repl_displayhook..post_execute at 0x7f01919304d0> (for post_execute):

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ValueError Traceback (most recent call last) /opt/conda/lib/python3.7/site-packages/matplotlib/pyplot.py in post_execute() 136 def post_execute(): 137 if matplotlib.is_interactive(): --> 138 draw_all() 139 140 try: # IPython >= 2

/opt/conda/lib/python3.7/site-packages/matplotlib/_pylab_helpers.py in draw_all(cls, force) 135 for manager in cls.get_all_fig_managers(): 136 if force or manager.canvas.figure.stale: --> 137 manager.canvas.draw_idle() 138 139

/opt/conda/lib/python3.7/site-packages/matplotlib/backend_bases.py in draw_idle(self, *args, *kwargs) 2058 if not self._is_idle_drawing: 2059 with self._idle_draw_cntx(): -> 2060 self.draw(args, **kwargs) 2061 2062 @property

/opt/conda/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py in draw(self) 429 def draw(self): 430 # docstring inherited --> 431 self.renderer = self.get_renderer(cleared=True) 432 # Acquire a lock on the shared font cache. 433 with RendererAgg.lock, \

/opt/conda/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py in get_renderer(self, cleared) 445 and getattr(self, "_lastKey", None) == key) 446 if not reuse_renderer: --> 447 self.renderer = RendererAgg(w, h, self.figure.dpi) 448 self._lastKey = key 449 elif cleared:

/opt/conda/lib/python3.7/site-packages/matplotlib/backends/backend_agg.py in init(self, width, height, dpi) 91 self.width = width 92 self.height = height ---> 93 self._renderer = _RendererAgg(int(width), int(height), dpi) 94 self._filter_renderers = [] 95

ValueError: Image size of 2000x81750 pixels is too large. It must be less than 2^16 in each direction.

[AutoViML]

@Benzidrine 👍

Thanks for finding the problem. I have fixed the bug - please check via upgrade:

pip install autoviz --upgrade 

AutoViz

[k-nayak]

facing same error even after updating.

Shape of your Data Set loaded: (82385, 60) ############## C L A S S I F Y I N G V A R I A B L E S #################### Classifying variables in data set... 60 Predictors classified... 9 variables removed since they were ID or low-information variables 40 numeric variables in data exceeds limit, taking top 50 variables Number of All Scatter Plots = 820 Image size of 1500x156000 pixels is too large. It must be less than 2^16 in each direction. Could not draw Pair Scatter Plots Could not draw Violin Plot Time to run AutoViz = 81 seconds

###################### AUTO VISUALIZATION Completed ########################