It's Python Time

Python Note

#Python interative data viz
http://walkerke.github.io/geog30323/slides/interactive/#/

https://s3.amazonaws.com/quandl-static-content/Documents/Quandl+-+Pandas,+SciPy,+NumPy+Cheat+Sheet.pdf

Python_airbnbkaggle

[dataframe].shape 
#it has to be data frame? and it gets the dimension of the data set of you

dataframe.isnull().sum()
gives you the number of missing data in each column in your data set

dataframe.info()
gives you data type of the varibales
series/varible/colum.describe()
gives you stat summary of that seires/varibale/column

datafram.loc() is a pandas lable based slicing becasue normal slicing won't work in pandas
there's also conditional slicing see example:
dataframe.loc[dataframe.age > 95, 'age'] = np.nan (when age is larger than 95, value is NaN

For a long numerical number, can get rid of last n digit by doing
number // 10*n, this way, the last n digits will be gone, no decimal points

dataframe.series.value_counts gives you the frequency of different value in same series

dataframe.fillna('-1')  #fill up all the Nan with -1, could be other values too
np.vstack #stack all the list vertically