So if a CSV file has two rows as a headers we can read them by: import pandas as pd Default behavior is to infer the column names: if no names are passed the behavior is identical to header=0 and column names are inferred from the first line of the file, if column names are passed explicitly then the behavior is identical to header=None. Row number(s) to use as the column names, and the start of the data. To read the above CSV file which has two headers we can use read_csv with a combination of parameter header. Step 2: Read CSV file with multiple headers The content of the file is: Date,Company A,Company A,Company B,Company Aĭata from the above file shown in a tabular form is(the same is if we read the CSV without the multi row header): Date To start lets create a simple CSV file named: multine_header.csv and show how we can read the multi rows header with Pandas read_csv method. In the rest of the article we will cover different examples and details about using header=. Reading multiple headers from a CSV or Excel files can be done by using parameter - header of method read_csv: import pandas as pdĭf = pd.read_csv('./data/csv/multine_header.csv', header=) Reading multi-line headers with Pandas creates a MultiIndex. In this quick Pandas tutorial, we'll cover how we can read Excel sheet or CSV file with multiple header rowswith Python/Pandas.
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