PythonForDataScientist

creating a data-set- import pandas as pd a='a' b='b' df= pd.DataFrame({'survived':[0,1,1,1,0,1],'class': [a,b,a,b,a,b]}) have a look of data-set- group by based on class - grouped_data= df.groupby(['class']).agg({'survived':['max', 'sum']}) have alook at grouped data , it has got multiple index now- we can delete on of the column index- grouped_data.columns=grouped_data.columns.get_level_values(1)

### counting number of words in Python- This requires use of counter from collection package, Also as split can be used only on strings, one needs to convert list into str. from collections import Counter sentence= ['Data science is growing field but buzz is also around and This is hyped'] splitted_sentence= sentence[0].split(" ")      # we will get str from list and then split would work, split doesn't work on list count_word= Counter() for i in splitted_sentence:     count_word[i]+= 1   # these are like dictionary, can be used to count words etc print(count_word)     output is- Counter({'is': 3, 'and': 1, 'hyped': 1, 'growing': 1, 'around': 1, 'field': 1, 'science': 1, 'buzz': 1, 'Data': 1, 'also': 1, 'but': 1, 'This': 1}) Thus we get the count of all the unique words. can you try list comprehension for the same?