Data Cleaning / Exploration with Pycharm Community (Storing Variables after execution)
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How do folks do data cleaning / exploration in the Pycharm environment?
With Jupyter, you can experiment, fix broken scripts, hold the dataframe/variables in memory, and etc.
How do you replicate this 'exploration-like' workflow in Pycharm?
Or, is data exploration more practical with Jupyter?
df = pd.read_csv('./way_huge_dataset_7_gig.csv)
# 10 slow cleaning function using pandas.apply
# Normalizing Scripts
# Run Time intensive Aggregate Grouping Script
# 10 minute Kmeans Cluster
# Other stuff that takes too long
I'm really loving Pycharm--especially the debugger! Way better than Atom...which choked my macbook pro for the last time.
Much appreciation in advance
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Hi, you can use PyCharms' Python console with conjunction with "Evaluate in console" action, the console has a variables pane to inspect the state. Meanwhile, 2019.1 Pro comes with a redesigned Jupyter support, feel free to give it a try. It has 30 days trial and free for students/open source projects.