Skip Rows and Columns in CSV in Python - Python Automation and Machine Learning for ICs - - An Online Book - |
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Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/ | ||||||||
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Skip rows: ====================================== skiprows: some lines below can output error messages in some enviroments: code: ====================================== skiprows: Skip n rows from the start while reading a csv file in pandas: code: ====================================== skiprows: Incorrect row skip in csv2: code: ====================================== skiprows: Skip specific rows with row index: code: ====================================== skiprows: Skip continuous rows in an index range while reading a csv file: code: ====================================== skipfooter, engine: Skip n rows from the end while reading a csv file: code: ====================================== skiprows: Skip the rows with the indices divisible by an integer: code: ====================================== skiprows: Skip the rows with the indices divisible by an integer: code: ====================================== dropna: Skip empty rows: code: ====================================== skiprows: Skip rows with lambda module: code: ====================================== skiprows: Skip even rows with lambda module: code: ====================================== Skip columns usecols: Only store the columns which are need so that a subset of columns is returned, resulting in much faster parsing time and lower memory usage. code: ====================================== usecols: Skip specific columns, by header names, and then label row indices: code: ====================================== ====================================== drop: Skip a specific column: code:
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