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import numpy as np import pandas as pd from numpy.random import randn np.random.seed(101) df = pd.DataFrame(randn(5,4),index='A B C D E'.split(),columns='W X Y Z'.split()) df ...

Groupby The groupby method allows you to group rows of data together and call aggregate functions import pandas as pd # Create dataframe data = {'Company':['GOOG','GOOG','MSFT','MSFT','FB','FB'], ...

Merging, Joining, and Concatenating There are 3 main ways of combining DataFrames together: Merging, Joining and Concatenating. In this lecture we will discuss these 3 methods with examples. Example ...

Operations There are lots of operations with pandas that will be really useful to you, but don’t fall into any distinct category. Let’s show them here in this lecture: import pandas as pd df = pd.Data...

Data Input and Output import numpy as np import pandas as pd CSV CSV Input df = pd.read_csv('example') df a b c d 0 0 1 ...