pandas.Series = (
{key : value}
)
pandas.DataFrame = (
{key : value},
{key : value},
{key : value},
index=[]
)
Add new column
pandas.DataFrame['col_name'] = value
value can be a series of vectors or dictionary
pd.Series({0:'first', 1:'second'})
placeholder strategy
df['feedback'] = ['+', None, '-']
turn index into auto incrementing default numbers
guaranteed unique
df.reset_index()
join dataframes
Pandas data types http://pandas.pydata.org/pandas-docs/stable/basics.html#dtypes
Ad
Subscribe to:
Post Comments (Atom)
Matplotlib Explained - Kite Blog
If Jupyter Notebook is the new Excel, the horsepower of data science (visualizations, presentations and demos), Matplotlib is...
-
In this downtown startup work space design the designers used fat boy bean bags and an extra wide step tiered staircase to create work space... -
This review is updated continuously throughout the program. Yay I just joined the Udacity Nanodegree for Digital Marketing! I am such an Uda...
-
The bogus request from P2PU to hunt for HTML tags in real life has yielded a lot of good thoughts. My first impression was that this is stup...
No comments:
Post a Comment