Skip rows:

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skiprows: some lines below can output error messages in some enviroments: code:
         
    Input:     
         
    Output:     
                  

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skiprows: Skip n rows from the start while reading a csv file in pandas: code:
         

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skiprows: Incorrect row skip in csv2: code:
         
Output:
         

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skiprows: Skip specific rows with row index: code:
         

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skiprows: Skip continuous rows in an index range while reading a csv file: code:
         

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skipfooter, engine: Skip n rows from the end while reading a csv file: code:
         

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skiprows: Skip the rows with the indices divisible by an integer: code:
         

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skiprows: Skip the rows with the indices divisible by an integer: code:
         

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dropna: Skip empty rows: code:
         

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skiprows: Skip rows with lambda module: code:
         

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skiprows: Skip even rows with lambda module: code:
         

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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:
         
Output:
         

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usecols: Skip specific columns, by header names, and then label row indices: code:
         
Or: code:
         
Output:
         

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usecols: Skip specific columns by header names: code:
         
Output:
         

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drop: Skip a specific column: code:
         
Input:
         
Output: