PrettyTable

!/usr/bin/python

Example extracted from the source code of prettytable module

from prettytable import PrettyTable

def main():

x = PrettyTable(["City name", "Area", "Population", "Annual Rainfall"])
x.sortby = "Population"
x.reversesort = True
x.int_format["Area"] = "04"
x.float_format = "6.1"
x.align["City name"] = "l" # Left align city names
x.add_row(["Adelaide", 1295, 1158259, 600.5])
x.add_row(["Brisbane", 5905, 1857594, 1146.4])
x.add_row(["Darwin", 112, 120900, 1714.7])
x.add_row(["Hobart", 1357, 205556, 619.5])
x.add_row(["Sydney", 2058, 4336374, 1214.8])
x.add_row(["Melbourne", 1566, 3806092, 646.9])
x.add_row(["Perth", 5386, 1554769, 869.4])
print(x)

if name == “main”: main()


TUTORIAL ON HOW TO USE THE PRETTYTABLE 0.6+ API

This tutorial is distributed with PrettyTable and is meant to serve as a “quick start” guide for the lazy or impatient. It is not an exhaustive description of the whole API, and it is not guaranteed to be 100% up to date. For more complete and update documentation, check the PrettyTable wiki at http://code.google.com/p/prettytable/w/list

= Getting your data into (and out of) the table =

Let’s suppose you have a shiny new PrettyTable:

from prettytable import PrettyTable x = 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:

x.field_names = [“City name”, “Area”, “Population”, “Annual Rainfall”] x.add_row([“Adelaide”,1295, 1158259, 600.5]) x.add_row([“Brisbane”,5905, 1857594, 1146.4]) x.add_row([“Darwin”, 112, 120900, 1714.7]) x.add_row([“Hobart”, 1357, 205556, 619.5]) x.add_row([“Sydney”, 2058, 4336374, 1214.8]) x.add_row([“Melbourne”, 1566, 3806092, 646.9]) x.add_row([“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”

x.add_column(“City name”, [“Adelaide”,”Brisbane”,”Darwin”,”Hobart”,”Sydney”,”Melbourne”,”Perth”]) x.add_column(“Area”, [1295, 5905, 112, 1357, 2058, 1566, 5386]) x.add_column(“Population”, [1158259, 1857594, 120900, 205556, 4336374, 3806092, 1554769]) x.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. There’s a unit test which makes sure that doing things this way will always work out nicely as if you’d done it using just one of the two approaches. 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 fp = open(“myfile.csv”, “r”) mytable = from_csv(fp) fp.close()

== Importing data from a HTML string ==

If you have a string containing a HTML

, you can read this data into a PrettyTable like this:

from prettytable import from_html mytable = from_html(html_string)

== 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:

= 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 x

in Python 2.x or:

print(x)

in Python 3.x.

The old x.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 x.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 x”, you can use the get_string method:

mystring = x.get_string()

This string is guaranteed to look exactly the same as what would be printed by doing “print x”. 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.

== Controlling which data gets displayed ==

If you like, you can restrict the output of print x or x.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 x.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 x.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:

x.align = “r” print x

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.

x.align[“City name”] = “l” x.align[“Area”] = “c” x.align[“Population”] = “r” x.align[“Annual Rainfall”] = “c” print x

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 x.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:

x.sortby = “Population” print x print x print x

All three tables printed by this code will be sorted by population (you could do x.reversesort = True as well, if you wanted). The behaviour will persist until you turn it off:

x.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 appeare 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.

= 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 if can print them in a variety of other formats as well. If the format you want to use is common, PrettyTable makes this very 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 a format which works nicely with Microsoft Word’s “Convert to table” feature:

from prettytable import MSWORD_FRIENDLY x.set_style(MSWORD_FRIENDLY) print x

In addition to MSWORD_FRIENDLY there are currently two other in-built styles you can use for your tables:

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 these:

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:

x.border = False print x print x print x

Neither of the 3 tables printed by this will have borders, even if you do things like add extra rows inbetween them. The lack of borders will last until you do:

x.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:

x = PrettyTable() x.border = False x.header = False x.padding_width = 5

x = 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 x print x.get_string(border=False) print x

= 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 print your table - just use print_html() - or 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:

... ... ...
City name Area Population Annual Rainfall
Adelaide 1295 1158259 600.5
Brisbane 5905 1857594 1146.4

If you like, you can ask PrettyTable to do its best to mimick the style options that your table has set using inline CSS. This is done by giving a format=True keyword argument to either the print_html or get_html_string methods. Note that if you always want to print formatted HTML you can do:

x.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 print_html or 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 print_html and get_html_string methods using the attributes keyword argument. This lets you specify common HTML attributes like name, id and class that can be used for linking to your tables or customising their appearance using CSS. For example:

x.print_html(attributes={“name”:”my_table”, “class”:”red_table”})

will print:

... ... ...
City name Area Population Annual Rainfall

= 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]