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"}}},{"cell_type":"markdown","source":"

Process Tabular Data with Dask DataFrame

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In this notebook we will learn about the Dask DataFrame, a tabular DataFrame interface based on pandas that will automatically build parallel computations.

\n\n

When to use Dask DataFrames

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Pandas is great for tabular datasets that fit in memory. If your data fits in memory then you should use Pandas. Dask becomes useful when the dataset you want to analyze is larger than your machine's RAM where you would normally run into MemoryErrors.

\n\nMemoryError: ...\nThis also means:\n\n

Don't use Dask DataFrames if you don't need to!

\nDistributed computing brings a lot of additional complexity into the mix and will incur overhead. If your dataset and computations fit comfortably within your local resources this overhead will may be larger than the performance gain you'll get by using Dask. In that case, stick with non-distributed libraries like pandas, numpy and scikit-learn.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:ee172a42-969e-45b7-aa7a-07ba05f61619.png)","metadata":{},"attachments":{"ee172a42-969e-45b7-aa7a-07ba05f61619.png":{"image/png":"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"}}},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt","metadata":{"execution":{"iopub.status.busy":"2024-04-20T10:39:11.890503Z","iopub.execute_input":"2024-04-20T10:39:11.891032Z","iopub.status.idle":"2024-04-20T10:39:14.989356Z","shell.execute_reply.started":"2024-04-20T10:39:11.890979Z","shell.execute_reply":"2024-04-20T10:39:14.988125Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import dask.dataframe as dd\ndf=dd.read_csv('/kaggle/input/leap-atmospheric-physics-ai-climsim/train.csv')","metadata":{"execution":{"iopub.status.busy":"2024-04-20T10:39:14.990786Z","iopub.execute_input":"2024-04-20T10:39:14.991447Z","iopub.status.idle":"2024-04-20T10:39:16.994179Z","shell.execute_reply.started":"2024-04-20T10:39:14.991398Z","shell.execute_reply":"2024-04-20T10:39:16.992953Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"Pandas and Dask have the same API, and so switching from one to the other is straightforward.","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:9dd932eb-501b-431c-86cd-8874ff890556.png) 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"},"903d02ef-af0b-4b74-a73a-c0197492a456.png":{"image/png":"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