def enaml_editor_launch(x, AS_PANDAS=False):
'''
Called from terminal to launch the UI, for the data x
'''
model = CsvModel(data=x, AS_PANDAS_DATAFRAME=AS_PANDAS)
xyplot_handler = XYPlotHandler()
imageplot_handler=ImagePlotHandler()
pcplot_handler = PCPlotHandler()
regressplot = RegressionPlotHandler()
histplot_handler = HistogramPlotHandler()
kmeans_plot = KMeansPlotHandler()
this_path = os.path.abspath(__file__)
model_dir = os.path.dirname(this_path)
command_history_file = os.path.join(model_dir, 'command_history.pkl')
if os.path.isfile(command_history_file):
f = open(command_history_file, 'r')
command_history = pickle.load(f)
model.script_handler.command_history = command_history
f.close()
import enaml
with enaml.imports():
from layout import Main
view = Main(
model = model,
xyplot_handler=xyplot_handler,
imageplot_handler=imageplot_handler,
pcaplot_handler=pcplot_handler,
regressplot = regressplot,
histplot_handler=histplot_handler,
kmeans_plot = kmeans_plot,
text_classifier = text_classifier,
ml_evaluator = ml_evaluator
)
view.show()
this_path = os.path.abspath(__file__)
model_dir = os.path.dirname(this_path)
command_history_file = os.path.join(model_dir, 'command_history.pkl')
if os.path.isfile(command_history_file):
f = open(command_history_file, 'r')
command_history = pickle.load(f)
model.script_handler.command_history = command_history
f.close()
if len(sys.argv)>1:
model.filename = sys.argv[1]
model.data_frame = read_csv(model.filename)
if __name__ == '__main__':
import enaml
with enaml.imports():
from layout import Main
view = Main(model=model,
xyplot_handler=xyplot_handler,
imageplot_handler=imageplot_handler,
pcaplot_handler=pcplot_handler,
regressplot = regressplot,
histplot_handler=histplot_handler,
kmeans_plot = kmeans_plot,
text_classifier = text_classifier,
ml_evaluator = ml_evaluator)
view.show()
