Top Related Projects
Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Quick Overview
PrettyTable is a Python library for creating and displaying simple ASCII tables. It allows users to easily generate formatted tables with customizable styles, making it ideal for presenting data in a readable format in command-line interfaces or text-based outputs.
Pros
- Easy to use with a simple and intuitive API
- Highly customizable table styles and formatting options
- Supports various data input methods (e.g., row-by-row, column-by-column)
- Compatible with both Python 2 and Python 3
Cons
- Limited to ASCII-based tables, not suitable for complex graphical representations
- May not be ideal for very large datasets due to memory constraints
- Lacks advanced features like cell merging or nested tables
- Not optimized for performance with extremely large tables
Code Examples
- Creating a simple table:
from prettytable import PrettyTable
table = PrettyTable()
table.field_names = ["Name", "Age", "City"]
table.add_row(["Alice", 25, "New York"])
table.add_row(["Bob", 30, "San Francisco"])
table.add_row(["Charlie", 35, "London"])
print(table)
- Customizing table style:
from prettytable import PrettyTable
table = PrettyTable()
table.field_names = ["Product", "Price"]
table.add_row(["Apple", 0.50])
table.add_row(["Banana", 0.75])
table.add_row(["Orange", 0.80])
table.align = "l" # Left-align text
table.border = True
table.header_style = "upper"
print(table)
- Creating a table from a list of dictionaries:
from prettytable import PrettyTable
data = [
{"name": "Alice", "age": 25, "city": "New York"},
{"name": "Bob", "age": 30, "city": "San Francisco"},
{"name": "Charlie", "age": 35, "city": "London"}
]
table = PrettyTable()
table.field_names = ["Name", "Age", "City"]
for item in data:
table.add_row([item["name"], item["age"], item["city"]])
print(table)
Getting Started
To get started with PrettyTable, follow these steps:
-
Install the library using pip:
pip install prettytable
-
Import the library in your Python script:
from prettytable import PrettyTable
-
Create a table and add data:
table = PrettyTable() table.field_names = ["Column 1", "Column 2"] table.add_row(["Value 1", "Value 2"]) print(table)
That's it! You can now start creating and customizing tables with PrettyTable.
Competitor Comparisons
Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate.
Pros of python-tabulate
- More output format options, including grid, pipe, and ASCII table styles
- Supports alignment of decimal points in numeric columns
- Faster performance for large datasets
Cons of python-tabulate
- Less customization options for individual cell formatting
- Fewer built-in data input methods compared to PrettyTable
- Limited support for adding rows or columns after initial table creation
Code Comparison
python-tabulate:
from tabulate import tabulate
data = [["Name", "Age"], ["Alice", 24], ["Bob", 19]]
print(tabulate(data, headers="firstrow", tablefmt="grid"))
PrettyTable:
from prettytable import PrettyTable
table = PrettyTable()
table.field_names = ["Name", "Age"]
table.add_row(["Alice", 24])
table.add_row(["Bob", 19])
print(table)
Both libraries offer simple ways to create formatted tables in Python. python-tabulate excels in providing various output styles and handling large datasets efficiently. PrettyTable, on the other hand, offers more flexibility in table manipulation and customization after creation. The choice between the two depends on specific project requirements and personal preference.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Pros of Rich
- More comprehensive feature set, including syntax highlighting, progress bars, and markdown rendering
- Highly customizable output with support for various styles and colors
- Active development with frequent updates and improvements
Cons of Rich
- Steeper learning curve due to its extensive functionality
- Larger package size and potentially higher resource usage
Code Comparison
Rich:
from rich.console import Console
from rich.table import Table
table = Table(title="Sample Table")
table.add_column("Name", style="cyan")
table.add_column("Age", style="magenta")
table.add_row("Alice", "30")
table.add_row("Bob", "25")
console = Console()
console.print(table)
PrettyTable:
from prettytable import PrettyTable
table = PrettyTable()
table.field_names = ["Name", "Age"]
table.add_row(["Alice", "30"])
table.add_row(["Bob", "25"])
print(table)
Both libraries offer table creation capabilities, but Rich provides more styling options and a more modern API. PrettyTable has a simpler interface, which may be preferable for basic use cases. Rich's extensive feature set makes it suitable for a wider range of console-based applications, while PrettyTable focuses primarily on table generation.
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PrettyTable
PrettyTable lets you print tables in an attractive ASCII form:
+-----------+------+------------+-----------------+
| City name | Area | Population | Annual Rainfall |
+-----------+------+------------+-----------------+
| Adelaide | 1295 | 1158259 | 600.5 |
| Brisbane | 5905 | 1857594 | 1146.4 |
| Darwin | 112 | 120900 | 1714.7 |
| Hobart | 1357 | 205556 | 619.5 |
| Melbourne | 1566 | 3806092 | 646.9 |
| Perth | 5386 | 1554769 | 869.4 |
| Sydney | 2058 | 4336374 | 1214.8 |
+-----------+------+------------+-----------------+
Installation
Install via pip:
python -m pip install -U prettytable
Install latest development version:
python -m pip install -U git+https://github.com/jazzband/prettytable
Or from requirements.txt
:
-e git://github.com/jazzband/prettytable.git#egg=prettytable
Tutorial on how to use the PrettyTable API
Getting your data into (and out of) the table
Let's suppose you have a shiny new PrettyTable:
from prettytable import PrettyTable
table = PrettyTable()
and you want to put some data into it. You have a few options.
Row by row
You can add data one row at a time. To do this you can set the field names first using
the field_names
attribute, and then add the rows one at a time using the add_row
method:
table.field_names = ["City name", "Area", "Population", "Annual Rainfall"]
table.add_row(["Adelaide", 1295, 1158259, 600.5])
table.add_row(["Brisbane", 5905, 1857594, 1146.4])
table.add_row(["Darwin", 112, 120900, 1714.7])
table.add_row(["Hobart", 1357, 205556, 619.5])
table.add_row(["Sydney", 2058, 4336374, 1214.8])
table.add_row(["Melbourne", 1566, 3806092, 646.9])
table.add_row(["Perth", 5386, 1554769, 869.4])
All rows at once
When you have a list of rows, you can add them in one go with add_rows
:
table.field_names = ["City name", "Area", "Population", "Annual Rainfall"]
table.add_rows(
[
["Adelaide", 1295, 1158259, 600.5],
["Brisbane", 5905, 1857594, 1146.4],
["Darwin", 112, 120900, 1714.7],
["Hobart", 1357, 205556, 619.5],
["Sydney", 2058, 4336374, 1214.8],
["Melbourne", 1566, 3806092, 646.9],
["Perth", 5386, 1554769, 869.4],
]
)
Column by column
You can add data one column at a time as well. To do this you use the add_column
method, which takes two arguments - a string which is the name for the field the column
you are adding corresponds to, and a list or tuple which contains the column data:
table.add_column("City name",
["Adelaide","Brisbane","Darwin","Hobart","Sydney","Melbourne","Perth"])
table.add_column("Area", [1295, 5905, 112, 1357, 2058, 1566, 5386])
table.add_column("Population", [1158259, 1857594, 120900, 205556, 4336374, 3806092,
1554769])
table.add_column("Annual Rainfall",[600.5, 1146.4, 1714.7, 619.5, 1214.8, 646.9,
869.4])
Mixing and matching
If you really want to, you can even mix and match add_row
and add_column
and build
some of your table in one way and some of it in the other. Tables built this way are
kind of confusing for other people to read, though, so don't do this unless you have a
good reason.
Importing data from a CSV file
If you have your table data in a comma-separated values file (.csv), you can read this data into a PrettyTable like this:
from prettytable import from_csv
with open("myfile.csv") as fp:
mytable = from_csv(fp)
Importing data from a database cursor
If you have your table data in a database which you can access using a library which
confirms to the Python DB-API (e.g. an SQLite database accessible using the sqlite
module), then you can build a PrettyTable using a cursor object, like this:
import sqlite3
from prettytable import from_db_cursor
connection = sqlite3.connect("mydb.db")
cursor = connection.cursor()
cursor.execute("SELECT field1, field2, field3 FROM my_table")
mytable = from_db_cursor(cursor)
Getting data out
There are three ways to get data out of a PrettyTable, in increasing order of completeness:
- The
del_row
method takes an integer index of a single row to delete. - The
del_column
method takes a field name of a single column to delete. - The
clear_rows
method takes no arguments and deletes all the rows in the table - but keeps the field names as they were so you that you can repopulate it with the same kind of data. - The
clear
method takes no arguments and deletes all rows and all field names. It's not quite the same as creating a fresh table instance, though - style related settings, discussed later, are maintained.
Displaying your table in ASCII form
PrettyTable's main goal is to let you print tables in an attractive ASCII form, like this:
+-----------+------+------------+-----------------+
| City name | Area | Population | Annual Rainfall |
+-----------+------+------------+-----------------+
| Adelaide | 1295 | 1158259 | 600.5 |
| Brisbane | 5905 | 1857594 | 1146.4 |
| Darwin | 112 | 120900 | 1714.7 |
| Hobart | 1357 | 205556 | 619.5 |
| Melbourne | 1566 | 3806092 | 646.9 |
| Perth | 5386 | 1554769 | 869.4 |
| Sydney | 2058 | 4336374 | 1214.8 |
+-----------+------+------------+-----------------+
You can print tables like this to stdout
or get string representations of them.
Printing
To print a table in ASCII form, you can just do this:
print(table)
The old table.printt()
method from versions 0.5 and earlier has been removed.
To pass options changing the look of the table, use the get_string()
method documented
below:
print(table.get_string())
Stringing
If you don't want to actually print your table in ASCII form but just get a string
containing what would be printed if you use print(table)
, you can use the
get_string
method:
mystring = table.get_string()
This string is guaranteed to look exactly the same as what would be printed by doing
print(table)
. You can now do all the usual things you can do with a string, like write
your table to a file or insert it into a GUI.
The table can be displayed in several different formats using get_formatted_string
by
changing the out_format=<text|html|json|csv|latex>
. This function passes through
arguments to the functions that render the table, so additional arguments can be given.
This provides a way to let a user choose the output formatting.
def my_cli_function(table_format: str = 'text'):
...
print(table.get_formatted_string(table_format))
Controlling which data gets displayed
If you like, you can restrict the output of print(table)
or table.get_string
to only
the fields or rows you like.
The fields
argument to these methods takes a list of field names to be printed:
print(table.get_string(fields=["City name", "Population"]))
gives:
+-----------+------------+
| City name | Population |
+-----------+------------+
| Adelaide | 1158259 |
| Brisbane | 1857594 |
| Darwin | 120900 |
| Hobart | 205556 |
| Melbourne | 3806092 |
| Perth | 1554769 |
| Sydney | 4336374 |
+-----------+------------+
The start
and end
arguments take the index of the first and last row to print
respectively. Note that the indexing works like Python list slicing - to print the 2nd,
3rd and 4th rows of the table, set start
to 1 (the first row is row 0, so the second
is row 1) and set end
to 4 (the index of the 4th row, plus 1):
print(table.get_string(start=1, end=4))
prints:
+-----------+------+------------+-----------------+
| City name | Area | Population | Annual Rainfall |
+-----------+------+------------+-----------------+
| Brisbane | 5905 | 1857594 | 1146.4 |
| Darwin | 112 | 120900 | 1714.7 |
| Hobart | 1357 | 205556 | 619.5 |
+-----------+------+------------+-----------------+
Changing the alignment of columns
By default, all columns in a table are centre aligned.
All columns at once
You can change the alignment of all the columns in a table at once by assigning a one
character string to the align
attribute. The allowed strings are "l"
, "r"
and
"c"
for left, right and centre alignment, respectively:
table.align = "r"
print(table)
gives:
+-----------+------+------------+-----------------+
| City name | Area | Population | Annual Rainfall |
+-----------+------+------------+-----------------+
| Adelaide | 1295 | 1158259 | 600.5 |
| Brisbane | 5905 | 1857594 | 1146.4 |
| Darwin | 112 | 120900 | 1714.7 |
| Hobart | 1357 | 205556 | 619.5 |
| Melbourne | 1566 | 3806092 | 646.9 |
| Perth | 5386 | 1554769 | 869.4 |
| Sydney | 2058 | 4336374 | 1214.8 |
+-----------+------+------------+-----------------+
One column at a time
You can also change the alignment of individual columns based on the corresponding field
name by treating the align
attribute as if it were a dictionary.
table.align["City name"] = "l"
table.align["Area"] = "c"
table.align["Population"] = "r"
table.align["Annual Rainfall"] = "c"
print(table)
gives:
+-----------+------+------------+-----------------+
| City name | Area | Population | Annual Rainfall |
+-----------+------+------------+-----------------+
| Adelaide | 1295 | 1158259 | 600.5 |
| Brisbane | 5905 | 1857594 | 1146.4 |
| Darwin | 112 | 120900 | 1714.7 |
| Hobart | 1357 | 205556 | 619.5 |
| Melbourne | 1566 | 3806092 | 646.9 |
| Perth | 5386 | 1554769 | 869.4 |
| Sydney | 2058 | 4336374 | 1214.8 |
+-----------+------+------------+-----------------+
Sorting your table by a field
You can make sure that your ASCII tables are produced with the data sorted by one
particular field by giving get_string
a sortby
keyword argument, which must be a
string containing the name of one field.
For example, to print the example table we built earlier of Australian capital city data, so that the most populated city comes last, we can do this:
print(table.get_string(sortby="Population"))
to get:
+-----------+------+------------+-----------------+
| City name | Area | Population | Annual Rainfall |
+-----------+------+------------+-----------------+
| Darwin | 112 | 120900 | 1714.7 |
| Hobart | 1357 | 205556 | 619.5 |
| Adelaide | 1295 | 1158259 | 600.5 |
| Perth | 5386 | 1554769 | 869.4 |
| Brisbane | 5905 | 1857594 | 1146.4 |
| Melbourne | 1566 | 3806092 | 646.9 |
| Sydney | 2058 | 4336374 | 1214.8 |
+-----------+------+------------+-----------------+
If we want the most populated city to come first, we can also give a
reversesort=True
argument.
If you always want your tables to be sorted in a certain way, you can make the setting long-term like this:
table.sortby = "Population"
print(table)
print(table)
print(table)
All three tables printed by this code will be sorted by population (you could do
table.reversesort = True
as well, if you wanted). The behaviour will persist until you
turn it off:
table.sortby = None
If you want to specify a custom sorting function, you can use the sort_key
keyword
argument. Pass this a function which accepts two lists of values and returns a negative
or positive value depending on whether the first list should appear before or after the
second one. If your table has n columns, each list will have n+1 elements. Each list
corresponds to one row of the table. The first element will be whatever data is in the
relevant row, in the column specified by the sort_by
argument. The remaining n
elements are the data in each of the table's columns, in order, including a repeated
instance of the data in the sort_by
column.
Adding sections to a table
You can divide your table into different sections using the divider
argument. This
will add a dividing line into the table under the row who has this field set. So we can
set up a table like this:
table = PrettyTable()
table.field_names = ["City name", "Area", "Population", "Annual Rainfall"]
table.add_row(["Adelaide", 1295, 1158259, 600.5])
table.add_row(["Brisbane", 5905, 1857594, 1146.4])
table.add_row(["Darwin", 112, 120900, 1714.7])
table.add_row(["Hobart", 1357, 205556, 619.5], divider=True)
table.add_row(["Melbourne", 1566, 3806092, 646.9])
table.add_row(["Perth", 5386, 1554769, 869.4])
table.add_row(["Sydney", 2058, 4336374, 1214.8])
to get a table like this:
+-----------+------+------------+-----------------+
| City name | Area | Population | Annual Rainfall |
+-----------+------+------------+-----------------+
| Adelaide | 1295 | 1158259 | 600.5 |
| Brisbane | 5905 | 1857594 | 1146.4 |
| Darwin | 112 | 120900 | 1714.7 |
| Hobart | 1357 | 205556 | 619.5 |
+-----------+------+------------+-----------------+
| Melbourne | 1566 | 3806092 | 646.9 |
| Perth | 5386 | 1554769 | 869.4 |
| Sydney | 2058 | 4336374 | 1214.8 |
+-----------+------+------------+-----------------+
Any added dividers will be removed if a table is sorted.
Changing the appearance of your table - the easy way
By default, PrettyTable produces ASCII tables that look like the ones used in SQL
database shells. But it can print them in a variety of other formats as well. If the
format you want to use is common, PrettyTable makes this easy for you to do using the
set_style
method. If you want to produce an uncommon table, you'll have to do things
slightly harder (see later).
Setting a table style
You can set the style for your table using the set_style
method before any calls to
print
or get_string
. Here's how to print a table in Markdown format:
from prettytable import MARKDOWN
table.set_style(MARKDOWN)
print(table)
In addition to MARKDOWN
you can use these in-built styles:
DEFAULT
- The default look, used to undo any style changes you may have madePLAIN_COLUMNS
- A borderless style that works well with command line programs for columnar dataMSWORD_FRIENDLY
- A format which works nicely with Microsoft Word's "Convert to table" featureORGMODE
- A table style that fits Org mode syntaxSINGLE_BORDER
andDOUBLE_BORDER
- Styles that use continuous single/double border lines with Box drawing characters for a fancier display on terminal
Other styles are likely to appear in future releases.
Changing the appearance of your table - the hard way
If you want to display your table in a style other than one of the in-built styles listed above, you'll have to set things up the hard way.
Don't worry, it's not really that hard!
Style options
PrettyTable has a number of style options which control various aspects of how tables
are displayed. You have the freedom to set each of these options individually to
whatever you prefer. The set_style
method just does this automatically for you.
The options are:
Option | Details |
---|---|
border | A Boolean option (must be True or False ). Controls whether a border is drawn inside and around the table. |
preserve_internal_border | A Boolean option (must be True or False ). Controls whether borders are still drawn within the table even when border=False . |
header | A Boolean option (must be True or False ). Controls whether the first row of the table is a header showing the names of all the fields. |
hrules | Controls printing of horizontal rules after rows. Allowed values: FRAME , HEADER , ALL , NONE . |
HEADER , ALL , NONE | These are variables defined inside the prettytable module so make sure you import them or use prettytable.FRAME etc. |
vrules | Controls printing of vertical rules between columns. Allowed values: FRAME , ALL , NONE . |
int_format | A string which controls the way integer data is printed. This works like: print("%<int_format>d" % data) . |
float_format | A string which controls the way floating point data is printed. This works like: print("%<float_format>f" % data) . |
custom_format | A dictionary of field and callable. This allows you to set any format you want pf.custom_format["my_col_int"] = lambda f, v: f"{v:,}" . The type of the callable is Callable[[str, Any], str] |
padding_width | Number of spaces on either side of column data (only used if left and right paddings are None ). |
left_padding_width | Number of spaces on left-hand side of column data. |
right_padding_width | Number of spaces on right-hand side of column data. |
vertical_char | Single character string used to draw vertical lines. Default: | . |
horizontal_char | Single character string used to draw horizontal lines. Default: - . |
_horizontal_align_char | Single character string used to indicate column alignment in horizontal lines. Default: : for Markdown, otherwise None . |
junction_char | Single character string used to draw line junctions. Default: + . |
top_junction_char | Single character string used to draw top line junctions. Default: junction_char . |
bottom_junction_char | single character string used to draw bottom line junctions. Default: junction_char . |
right_junction_char | Single character string used to draw right line junctions. Default: junction_char . |
left_junction_char | Single character string used to draw left line junctions. Default: junction_char . |
top_right_junction_char | Single character string used to draw top-right line junctions. Default: junction_char . |
top_left_junction_char | Single character string used to draw top-left line junctions. Default: junction_char . |
bottom_right_junction_char | Single character string used to draw bottom-right line junctions. Default: junction_char . |
bottom_left_junction_char | Single character string used to draw bottom-left line junctions. Default: junction_char . |
You can set the style options to your own settings in two ways:
Setting style options for the long term
If you want to print your table with a different style several times, you can set your option for the long term just by changing the appropriate attributes. If you never want your tables to have borders you can do this:
table.border = False
print(table)
print(table)
print(table)
Neither of the 3 tables printed by this will have borders, even if you do things like add extra rows in between them. The lack of borders will last until you do:
table.border = True
to turn them on again. This sort of long-term setting is exactly how set_style
works.
set_style
just sets a bunch of attributes to pre-set values for you.
Note that if you know what style options you want at the moment you are creating your table, you can specify them using keyword arguments to the constructor. For example, the following two code blocks are equivalent:
table = PrettyTable()
table.border = False
table.header = False
table.padding_width = 5
table = PrettyTable(border=False, header=False, padding_width=5)
Changing style options just once
If you don't want to make long-term style changes by changing an attribute like in the
previous section, you can make changes that last for just one get_string
by giving
those methods keyword arguments. To print two "normal" tables with one borderless table
between them, you could do this:
print(table)
print(table.get_string(border=False))
print(table)
Changing the appearance of your table - with colors!
PrettyTable has the functionality of printing your table with ANSI color codes. This
includes support for most Windows versions through
Colorama. To get started, import the ColorTable
class instead of PrettyTable
.
-from prettytable import PrettyTable
+from prettytable.colortable import ColorTable
The ColorTable
class can be used the same as PrettyTable
, but it adds an extra
property. You can now specify a custom theme that will format your table with colors.
from prettytable.colortable import ColorTable, Themes
table = ColorTable(theme=Themes.OCEAN)
print(table)
Creating a custom theme
The Theme
class allows you to customize both the characters and colors used in your
table.
Argument | Description |
---|---|
default_color | The color to use as default |
vertical_char , horizontal_char , and junction_char | The characters used for creating the outline of the table |
vertical_color , horizontal_color , and junction_color | The colors used to style each character. |
Note: Colors are formatted with the
Theme.format_code(s: str)
function. It accepts a string. If the string starts with an escape code (like\x1b
) then it will return the given string. If the string is just whitespace, it will return""
. If the string is a number (like"34"
), it will automatically format it into an escape code. I recommend you look into the source code for more information.
Displaying your table in JSON
PrettyTable will also print your tables in JSON, as a list of fields and an array of
rows. Just like in ASCII form, you can actually get a string representation - just use
get_json_string()
.
Displaying your table in HTML form
PrettyTable will also print your tables in HTML form, as <table>
s. Just like in ASCII
form, you can actually get a string representation - just use get_html_string()
. HTML
printing supports the fields
, start
, end
, sortby
and reversesort
arguments in
exactly the same way as ASCII printing.
Styling HTML tables
By default, PrettyTable outputs HTML for "vanilla" tables. The HTML code is quite simple. It looks like this:
<table>
<thead>
<tr>
<th>City name</th>
<th>Area</th>
<th>Population</th>
<th>Annual Rainfall</th>
</tr>
</thead>
<tbody>
<tr>
<td>Adelaide</td>
<td>1295</td>
<td>1158259</td>
<td>600.5</td>
</tr>
<tr>
<td>Brisbane</td>
<td>5905</td>
<td>1857594</td>
<td>1146.4</td>
...
</tr>
</tbody>
</table>
If you like, you can ask PrettyTable to do its best to mimic the style options that your
table has set using inline CSS. This is done by giving a format=True
keyword argument
to get_html_string
method. Note that if you always want to print formatted HTML you
can do:
table.format = True
and the setting will persist until you turn it off.
Just like with ASCII tables, if you want to change the table's style for just one
get_html_string
you can pass those methods' keyword arguments - exactly like print
and get_string
.
Setting HTML attributes
You can provide a dictionary of HTML attribute name/value pairs to the get_html_string
method using the attributes
keyword argument. This lets you specify common HTML
attributes like id
and class
that can be used for linking to your tables or
customising their appearance using CSS. For example:
print(table.get_html_string(attributes={"id":"my_table", "class":"red_table"}))
will print:
<table id="my_table" class="red_table">
<thead>
<tr>
<th>City name</th>
<th>Area</th>
<th>Population</th>
<th>Annual Rainfall</th>
</tr>
</thead>
<tbody>
<tr>
... ... ...
</tr>
</tbody>
</table>
Setting HTML escaping
By default, PrettyTable will escape the data contained in the header and data fields
when sending output to HTML. This can be disabled by setting the escape_header
and
escape_data
to false. For example:
print(table.get_html_string(escape_header=False, escape_data=False))
Miscellaneous things
Copying a table
You can call the copy
method on a PrettyTable object without arguments to return an
identical independent copy of the table.
If you want a copy of a PrettyTable object with just a subset of the rows, you can use list slicing notation:
new_table = old_table[0:5]
Contributing
After editing files, use the Black linter to auto-format changed lines.
python -m pip install black
black prettytable*.py
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