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authorluke@maurits.id.au <luke@maurits.id.au@0f58610c-415a-11de-9c03-5d6cfad8e937>2013-02-08 06:01:18 +0000
committerluke@maurits.id.au <luke@maurits.id.au@0f58610c-415a-11de-9c03-5d6cfad8e937>2013-02-08 06:01:18 +0000
commit8512d40283ea74c8506d8e5ba0a67529073a64bf (patch)
tree53cac5c416e73536794b10720b5914ceb48d28a9
parent46f76a4731e195b332492573c09ab41b0343db64 (diff)
downloadpython-prettytable-8512d40283ea74c8506d8e5ba0a67529073a64bf.tar.gz
Documented from_html.
git-svn-id: http://prettytable.googlecode.com/svn/branches/0.7@107 0f58610c-415a-11de-9c03-5d6cfad8e937
-rw-r--r--README13
1 files changed, 12 insertions, 1 deletions
diff --git a/README b/README
index fbc77a1..5f85d05 100644
--- a/README
+++ b/README
@@ -64,9 +64,20 @@ 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 <table>, 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:
+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