Using Numpy Loadtxt Function, computer science class 11,computer science class 12, computer science
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In the above statement, first we specify the name
and path of the text file containing the data. Let us
understand some of the parameters that we pass in the
np.loadtext() function:
Notes
Chap 6.indd 109 19-Jul-19 3:43:32 PM
2021-22
110 Informatics Practices – Class XI
• The parameter skiprows=1 indicates that the
first row is the header row and therefore we
need to skip it as we do not want to load it in
the array.
• The delimiter specifies whether the values are
separated by comma, semicolon, tab or space
(the four are together called whitespace), or any
other character. The default value for delimiter
is space.
• We can also specify the data type of the array
to be created by specifying through the dtype
argument. By default, dtype is float.
We can load each row or column of the data file into
different numpy arrays using the unpack parameter.
By default, unpack=False means we can extract each
row of data as separate arrays. When unpack=True, the
returned array is transposed means we can extract the
columns as separate arrays
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