Python numpy.loadtxt()

The loadtxt() function of Python numpy class loads the data from a text fileand provides a fast reader for simple text files.



fname : This parameter represents a file, filename, or generator to read. If the extension is .gz or .bz2, the file decompressed.
dtype : It is an optional parameter. It depicts the data type of returned array, and by default, it is a float.If it is a structured data-type, the array will be of one-dimensional, whereeach row represents as an element of the array.
delimiter : This parameter represents a string to separatethe  values. By default, it can be any whitespace.
converters : It signifies a dictionary used for mapping column number to a function that will convert that column to a float.
skiprows : This parameter is used for skipping the first skip rows lines.It is an optional field, and its default value is 0.

usecols : This parameter states which columns to read, with 0 being the first. It is also an optional field.

unpack : It is an optional parameter and represents Boolean value, and by default, it is false.If passed true, the returned array is transposed, so that the parameters may be unpacked using x, y, z = loadtxt(…). When used with a structured data-type, the arrays are returned for each field.

ndmin : It returns an array will have at least ndmin dimensions.

encoding : It is used forEncoding and later decoding the inputfile.

max_rows : It reads the  max_rows lines of content after skiprows lines.


This function reads the data from the text file.

Example 1


Example 2


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