NumPy has built-in methods for reading and writing NumPy array data to text files. These are numpy.loadtxt
and numpy.savetxt
.
Writing an array to a text file is simple:
savetxt(filename,data)
There are two useful parameters given as strings, fmt
and delimiter
, which control the format and the delimiter between columns. The defaults are space for the delimiter and %.18e
for the format, which corresponds to the exponential format with all digits. The formatting parameters are used as follows:
x = range(100) # 100 integers savetxt('test.txt',x,delimiter=',') # use comma instead of space savetxt('test.txt',x,fmt='%d') # integer format instead of float with e
Reading to an array from a text file is done with the help of the following syntax:
filename = 'test.txt' data = loadtxt(filename)
Due to the fact that each row in an array must have the same length, each row in the text file must have the same number of elements. Similar to savetxt
, the default values are float
and the delimiter is space
. These can be set using the dtype
and delimiter
parameters. Another useful parameter is comments
, which can be used to mark what symbol is used for comments in the data file. An example for using the formatting parameters is as follows:
data = loadtxt('test.txt',delimiter=';') # data separated by semicolons data = loadtxt('test.txt',dtype=int,comments='#') # read to integer type, #comments in file begin with a hash character
3.149.249.252