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Diffstat (limited to 'README.rst')
| -rw-r--r-- | README.rst | 20 |
1 files changed, 15 insertions, 5 deletions
@@ -21,6 +21,7 @@ Output formats supported: - Excel (Sets + Books) - JSON (Sets + Books) - YAML (Sets + Books) +- Pandas DataFrames (Sets) - HTML (Sets) - TSV (Sets) - OSD (Sets) @@ -64,13 +65,13 @@ Intelligently add new columns: :: Slice rows: :: - >>> print data[:2] + >>> print(data[:2]) [('John', 'Adams', 90), ('George', 'Washington', 67)] Slice columns by header: :: - >>> print data['first_name'] + >>> print(data['first_name']) ['John', 'George', 'Henry'] Easily delete rows: :: @@ -86,7 +87,7 @@ JSON! +++++ :: - >>> print data.json + >>> print(data.json) [ { "last_name": "Adams", @@ -105,7 +106,7 @@ YAML! +++++ :: - >>> print data.yaml + >>> print(data.yaml) - {age: 90, first_name: John, last_name: Adams} - {age: 83, first_name: Henry, last_name: Ford} @@ -113,7 +114,7 @@ CSV... ++++++ :: - >>> print data.csv + >>> print(data.csv) first_name,last_name,age John,Adams,90 Henry,Ford,83 @@ -131,6 +132,15 @@ DBF! >>> with open('people.dbf', 'wb') as f: ... f.write(data.dbf) + +Pandas DataFrame! ++++++++++++++++++ +:: + + >>> print(data.df): + first_name last_name age + 0 John Adams 90 + 1 Henry Ford 83 It's that easy. |