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python Programming Glossary: skiprows

Numpy modify array in place?

http://stackoverflow.com/questions/10149416/numpy-modify-array-in-place

0 def main array numpy.loadtxt 'test.csv' delimiter ' ' skiprows 1 for column in array.T normalize column return array if __name__..

Fit a gaussian function

http://stackoverflow.com/questions/11507028/fit-a-gaussian-function

as f v np.loadtxt f delimiter ' ' dtype float skiprows 1 usecols None fig ax plt.subplots plt.hist v bins 500 color..

python: how to extract specific lines of data from a big text file

http://stackoverflow.com/questions/11712496/python-how-to-extract-specific-lines-of-data-from-a-big-text-file

RawStep0 usecols 0 4 5 dtype float delimiter skiprows 2 unpack True my output Vertex array 0. 1. 2. K_I array 0. 8.727065..

can pandas handle variable-length whitespace as column delimeters

http://stackoverflow.com/questions/12021730/can-pandas-handle-variable-length-whitespace-as-column-delimeters

#load data from pandas import data read_table 'sample.txt' skiprows 3 header None sep ValueError Expecting 83 columns got 91 in.. 91 in row 4 #load data part 2 data read_table 'sample.txt' skiprows 3 header None sep 's ' #this mushes some of the columns into.. It's a regexp after all In 68 data read_table 'sample.txt' skiprows 3 header None sep r s In 69 data Out 69 class 'pandas.core.frame.DataFrame'..

reading csv files in scipy/numpy in Python

http://stackoverflow.com/questions/2859404/reading-csv-files-in-scipy-numpy-in-python

I use the following function def csv2array filename skiprows 0 delimiter ' t' raw_header False missing None with_header True.. f open filename 'r' skipped_rows for n in range skiprows header_line f.readline .strip if raw_header skipped_rows.append.. filename dtype None names with_header deletechars '' skiprows skiprows missing missing else if delimiter ' t' data genfromtxt..

Python, reading a file with string and float with loadtxt

http://stackoverflow.com/questions/8624217/python-reading-a-file-with-string-and-float-with-loadtxt

with cleaned lines. Finally you should also set the skiprows parameter to eliminate table headings share improve this answer..

Python out of memory on large CSV file (numpy)

http://stackoverflow.com/questions/8956832/python-out-of-memory-on-large-csv-file-numpy

'yourfile.txt' delimiter ' ' You may also need to specify skiprows if you have a header on the file. As a quick comparison loading.. data delimiter ' ' def iter_loadtxt filename delimiter ' ' skiprows 0 dtype float def iter_func with open filename 'r' as infile.. iter_func with open filename 'r' as infile for _ in range skiprows next infile for line in infile line line.rstrip .split delimiter..