dask.dataframe.read_csv. This parallelizes the pandas.read_csv () function in the following ways: It can read CSV files from external resources (e.g. S3, HDFS) by providing a URL: Internally dd.read_csv uses pandas.read_csv () and supports many of the same keyword arguments with the same performance guarantees. CSV files contains plain text and is a well know format that can be read by everyone including Pandas. In our examples we will be using a CSV file called 'data.csv'. Download data.csv. or Open data.csv Example Load the CSV into a DataFrame: import pandas as pd df = pd.read_csv ('data.csv') print(df.to_string ()) Try it Yourself ». .
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