My solutions to pandas exercises by https://github.com/guipsamora/pandas_exercises in a bid to improve my knowledge of Pandas.
Day 1 of x of Pandas: Attempted the chipotle exercise.
Day 2 of x of Pandas: Attempted the occupation exercise.
Day 3 of x of Pandas: Took the chipotle exercise on data filtering and sorting.
Day 4 of x of Pandas: made up for three days I missed and did today's exercise
- 1. Euro12 exercise,
- 2. Fictional army,
- 3. Alcohol consumption exercise this is on grouping,
- 4. Occupation.
Day 5 of x of Pandas: took the regiment exercise.
In last 5 days of practicing Pandas, I've learnt about getting familiar with your data, filtering data, sorting data, grouping data. The use of Pandas functions such as groupby(), sort_values(), sort(), value_counts(), counts(), set_index(), reset_index(), loc, iloc, isin(), agg(), apply(), unstack(), and size(). Although I knew about most of these functions but I didn't know they accpted other parameters. Take for exampple the reset_index() takes a parameter level which accepts a list. what it does is to bring down the index to whatever level you give to it, you can check for the application here.
Day 6 of x of Pandas: moved on to the apply folder and attempted the student alcohol consumption exercise.
Day 7 of x of Pandas: concluded the apply exercise two US crime rates.
Day 8 of x of Pandas: started merging exercise Auto MPG.
Day 9 of x of Pandas: attempted Fictitious Names.
stopped updating the readme because i have some engagements at the moment.