Python has had awesome string formatters for many years but the documentation on them is far too theoretic and technical. With this site we try to show you the most common use-cases covered by the old and new style string formatting API with practical examples.
All examples on this page work out of the box with with Python 2.7, 3.2, 3.3, 3.4, and 3.5 without requiring any additional libraries.
Further details about these two formatting methods can be found in the official Python documentation:
Introduction to Python 3 Cheat Sheet. Python is a high-level programming language that was designed by Guido Van Rossum and developed by the Python software foundation in 1990. It has a paradigm of Object-oriented, imperative and procedural reflective. The parent company of python is a Python. Python Cheat Sheet Christina Costello February 20, 2020 09:24. Formatting string date field to a date data type where the field has NULLS and blanks in it. This cheat sheet explores what Python is used for and how it compares to other programming languages, and provides resources for learning the language. Other format works as intuitively with pandas. Reshaping Data –Change the layout of a data set M. A F M. A pd.melt(df) Gather columns into rows. Df.pivot(columns='var', values='val') Spread rows into columns. Pd.concat(df1,df2) Append rows of DataFrames pd.concat(df1,df2, axis=1) Append columns of DataFrames df.sortvalues('mpg').
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Table of Contents:
Basic formatting
Simple positional formatting is probably the most common use-case. Use itif the order of your arguments is not likely to change and you only havevery few elements you want to concatenate.
Since the elements are not represented by something as descriptive as aname this simple style should only be used to format a relatively smallnumber of elements.
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With new style formatting it is possible (and in Python 2.6 even mandatory)to give placeholders an explicit positional index.
This allows for re-arranging the order of display without changing thearguments.
This operation is not available with old-style formatting.
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Value conversion
The new-style simple formatter calls by default the __format__()method of an object for its representation. If you just want to render theoutput of str(...) or repr(...) you can use the !s or !r conversionflags.
In %-style you usually use %s for the string representation but there is%r for a repr(...) conversion.
Setup
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In Python 3 there exists an additional conversion flag that uses the outputof repr(...) but uses ascii(...) instead.
Setup
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Padding and aligning strings
By default values are formatted to take up only as many characters asneeded to represent the content. It is however also possible to define thata value should be padded to a specific length.
Unfortunately the default alignment differs between old and new styleformatting. The old style defaults to right aligned while for new styleit's left.
Align right:
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Again, new style formatting surpasses the old variant by providing morecontrol over how values are padded and aligned.
You are able to choose the padding character:
This operation is not available with old-style formatting.
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This operation is not available with old-style formatting.
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When using center alignment where the length of the string leads to an uneven split of the padding characters the extra character will be placed on the right side:
This operation is not available with old-style formatting.
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Truncating long strings
Inverse to padding it is also possible to truncate overly long valuesto a specific number of characters.
The number behind a . in the format specifies the precision of theoutput. For strings that means that the output is truncated to thespecified length. In our example this would be 5 characters.
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Combining truncating and padding
It is also possible to combine truncating and padding:
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Numbers
Of course it is also possible to format numbers.
Integers:
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Padding numbers
Similar to strings numbers can also be constrained to a specific width.
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Again similar to truncating strings the precision for floating pointnumbers limits the number of positions after the decimal point.
For floating points the padding value represents the length of the completeoutput. In the example below we want our output to have at least 6characters with 2 after the decimal point.
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For integer values providing a precision doesn't make much sense and isactually forbidden in the new style (it will result in a ValueError).
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Signed numbers
By default only negative numbers are prefixed with a sign. This can bechanged of course.
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Use a space character to indicate that negative numbers should be prefixedwith a minus symbol and a leading space should be used for positive ones.
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New style formatting is also able to control the position of the signsymbol relative to the padding.
This operation is not available with old-style formatting.
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Named placeholders
Both formatting styles support named placeholders.
Setup
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This operation is not available with old-style formatting.
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Getitem and Getattr
New style formatting allows even greater flexibility in accessing nesteddata structures.
It supports accessing containers that support __getitem__ like forexample dictionaries and lists:
This operation is not available with old-style formatting.
Setup
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Setup
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As well as accessing attributes on objects via getattr():
This operation is not available with old-style formatting.
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Both type of access can be freely mixed and arbitrarily nested:
This operation is not available with old-style formatting.
Setup
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Datetime
New style formatting also allows objects to control their ownrendering. This for example allows datetime objects to be formatted inline:
This operation is not available with old-style formatting.
Setup
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Parametrized formats
Additionally, new style formatting allows all of the components ofthe format to be specified dynamically using parametrization. Parametrizedformats are nested expressions in braces that can appear anywhere in theparent format after the colon.
Old style formatting also supports some parametrization but is much morelimited. Namely it only allows parametrization of the width and precisionof the output.
Parametrized alignment and width:
This operation is not available with old-style formatting.
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The nested format can be used to replace any part of the formatspec, so the precision example above could be rewritten as:
This operation is not available with old-style formatting.
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The components of a date-time can be set separately:
This operation is not available with old-style formatting.
Setup
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The nested formats can be positional arguments. Position dependson the order of the opening curly braces:
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This operation is not available with old-style formatting.
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And of course keyword arguments can be added to the mix as before:
This operation is not available with old-style formatting.
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Custom objects
The datetime example works through the use of the __format__() magicmethod. You can define custom format handling in your own objects byoverriding this method. This gives you complete control over the formatsyntax used.
This operation is not available with old-style formatting.
Setup
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