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Numpy_BasicMatrix.ipynb
to learn the very basic knowledge on Matrix.
Intro_NumPy (directory)
This directory are notes from the video Introduction to Numerical Computing with NumPy
- 00.ipynb
Element-wise operations, Universal functions, Multi-dimensional arrays, Slicing, Creating arrays with fast way
- 01.ipynb
Fancy indexing, axis concept, Flattened indices and coordinate indices
- 02.ipynb
Exercise
Data in this course from here(2019 survey)
- 00.ipynb
loading csv, shape, head()/tail()
Convert dict into DataFrame, Accessing columns, Accessing rows (iloc, loc), Using slicing in iloc/loc
- 01.ipynb
Setting index, Setting index while load it, Sorting index alphabetically, Filter, Filting string
- 02.ipynb
Update column name, Update values, How to use 'apply/applymap/map/replace'
- 03.ipynb
Adding columns, Remove columns, Break down one column into two columns, Adding rows, Adding one dataframe to another, Remove rows with condition, Sorting rows by a column value, Sorting rows by multiple column values with different order, Sorting a Series.
- 04.ipynb
Check information into a column, Percentages of each values in a nonnumerical column, Check the social media distribution among each country, Check the median/mean/max income values for each country, Find out how many people using Python during their work, Using group to do this above, Concatenation of multiple Series, Get the percentage of Python user for each country
- 05.ipynb
Cleaning rows contain None data for any feature, Cleaning rows contain None data for all feature, Cleaning rows with specific feature is None, Dealing with costumized missing data, Casting data type
- 06.ipynb
Parsing date-info into datetime type, Parsing date-info into datetime type when open the csv, Adding a new column of 'day of week', Get max 'High' value for each day, Resample & aggregation
- 07.ipynb
Creating a new csv data, Creating new JSON data readable
Video from here
- 01.ipynb
Creating a simple plot with (x,y), Adding labels and title, Identifying multi-plots in one chart, Formatting plot, Applying available styles
Creating bar chart with one value, Creating bar chart with multi-values, Creating bar chart from csv file without pandas, Creating bar chart from csv within pandas,
- 02.ipynb
Creating a simple pie chart, Highlight a chunk, Adding percentage for a pie chart, Creating a simple stack chart,
- 03.ipynb
Creating a line plot and filling area with transparence, Adding horizontal line cut the filling area, Filling the area that between two lines, Creating Histograms using integer as bins, Creating Histograms using list as bins, Creating Histograms using log operation,
- 04.ipynb
Creating a simple scatter, Creating a simple Time plot,