Introduction to Matplotlib and Seaborn
Resources for Matplotlib and Seaborn

Pandas - Exploratory Data Analysis:

Pandas - Transforming Databases:

Pandas - Settings and options:

1. Export our dataframe as csv
2. Configuring options to view max or selected no. of columns/ rows
3. To edit float values’ format to 2 d.p.

Pandas - Basic Analysis:

1. df.value_counts( )
2. df.sort_values( )
3. Boolean indexing
4. String handling

Pandas - Data input and validation:

1. Install and import Pandas
2. pd.read_csv( )
3. df.shape[ ]
4. df.head( ) , df.tail( )
5. df.info( )
6. df.describe( )
7. df.drop( )
8. df.isnull( )
9. df.dtypes
10. df[‘seriesname’] or df[“seriesname”] or df.seriesname
11. df[[‘columnname’,’columnname2’]]
12. type( )
13. Adding a column into the dataframe
14. Creating a dataframe