DOC: Add floating point precision on writing/reading to csv (#13159) … #62770
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WillAyd
requested changes
Oct 22, 2025
| df1.to_csv('test.csv', float_format='%.17g') | ||
| df2 = pd.read_csv('test.csv', index_col=0, float_precision='round_trip') | ||
| x1 = df1['One'][0] |
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| x1 = df1['One'][0] | |
| x1 = df1.iloc[0, 0] |
WillAyd
requested changes
Oct 22, 2025
| x1 = df1['One'][0] | ||
| x2 = df2['One'][0] | ||
| print("x0 = %f; x1 = %f; Are they equal? %s" % (x0, x1, (x0 == x1))) |
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Suggested change
| print("x0 = %f; x1 = %f; Are they equal? %s" % (x0, x1, (x0 == x1))) | |
| print(f"x0 = {x0}; x1 = {x1}; Are they equal? {x0 == x1}") |
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Added section for Floating Point Precision on Writing and Reading to CSV Files to address issue #13159 with detailed explanation of why the precision loss happens as well as a code example demonstrating the solution.
doc/source/user_guide/io.rstfile if fixing a bug or adding a new feature.