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Lesson 18 Using text files to share data with other programs

Lesson 18 Using text files to share data with other programs. Python Mini-Course University of Oklahoma Department of Psychology. Lesson objectives. Identify and describe the common file formats for data exchange, including text files, csv files, and tab-delimited files.

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Lesson 18 Using text files to share data with other programs

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  1. Lesson 18Using text files to share data with other programs Python Mini-Course University of Oklahoma Department of Psychology Python Mini-Course: Lesson 18

  2. Lesson objectives • Identify and describe the common file formats for data exchange, including text files, csv files, and tab-delimited files. • Read and write delimited text files in Python • Use a spreadsheet to read and create delimited text files Python Mini-Course: Lesson 18

  3. Data exchange • Key principle: • Data must be stored in a common format • Industry standard formats for encoding text • ASCII, Unicode, etc. • Industry standard formats for exchanging data • Delimited text files Python Mini-Course: Lesson 18

  4. Delimiting • Method of marking the boundaries between data fields in databases, spreadsheets, and tabular data Python Mini-Course: Lesson 18

  5. Common delimited text files • White-space delimited • Any non-printable character code (space, tab, newline, etc) • Common in older systems and for numeric data (e.g. SAS data files) Python Mini-Course: Lesson 18

  6. Common delimited text files • Comma delimited • Most common format • Files are designated as csv files (comma-separated values) • Example: USF norms http://w3.usf.edu/FreeAssociation/ Python Mini-Course: Lesson 18

  7. Common delimited text files • Tab delimited • Excellent format for tabular data • Can be read directly by Excel • Sometimes called tsv files • Example: Substance Abuse and Mental Health Data Archive http://www.icpsr.com/SAMHDA/index.html Python Mini-Course: Lesson 18

  8. Example: sqrtable.py # Create a table of squares and square roots import math start, stop, step = 1, 100, 1 delimiter = '\t' filename = 'squares.txt' num, sqr, sqr_rt = [], [], [] for val in range(start, stop+1, step): num.append(val) sqr.append(val**2) sqr_rt.append(math.sqrt(val)) Python Mini-Course: Lesson 18

  9. Example: sqrtable.py # Save to a delimited text file fout = open(filename, 'w') hdr = 'Num%sSquare%sSqrRoot\n' % (delimiter, delimiter) print hdr fout.write(hdr) for row in zip(num, sqr, sqr_rt): line = '%d%s%d%s%2.4f\n' % \ (row[0], delimiter, row[1], delimiter, row[2]) print line fout.write(line) fout.close() Python Mini-Course: Lesson 18

  10. Exercises • Open the file square.txt with a text editor • Open the file square.txt with a spreadsheet application (e.g., Excel) • Create a similar spreadsheet and save as a text file Python Mini-Course: Lesson 18

  11. Example: readsqr.py delimiter = '\t' filename = 'squares.txt' num, sqr, sqr_rt = [], [], [] fin = open(filename, 'r') hdr = fin.readline().strip() for row in fin: line = row.strip() entries = line.split(delimiter) num.append(int(entries[0])) sqr.append(int(entries[1])) sqr_rt.append(float(entries[2])) fin.close() Python Mini-Course: Lesson 18

  12. Example: readsqr.py # Print a table of values print hdr for row in zip(num, sqr, sqr_rt): line = '%d%s%d%s%2.4f' % \ (row[0], delimiter, row[1], delimiter, row[2]) print line Python Mini-Course: Lesson 18

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