Mastering Exploratory Analysis with pandas

By Harish Garg

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Working with Different Kinds of Datasets
- Working with Different Kinds of Datasets
- Using advanced options while reading data from CSV files
- Reading data from Excel files
- Handling missing data while reading
- Reading data from other popular formats
- Summary
Data Selection
- Data Selection
- Introduction to datasets
- Selecting data from the dataset
- Sorting a pandas DataFrame
- Filtering rows of a pandas DataFrame
- Applying multiple filter criteria to a pandas DataFrame
- Using the axis parameter in pandas
- Using string methods in pandas
- Changing the datatype of a pandas series
- Summary
Manipulating, Transforming, and Reshaping Data
- Manipulating, Transforming, and Reshaping Data
- Modifying a pandas DataFrame using the inplace parameter
- Using the groupby method
- Handling missing values in pandas
- Indexing in pandas DataFrames
- Renaming columns in a pandas DataFrame
- Removing columns from a pandas DataFrame
- Working with date and time series data
- Handling SettingWithCopyWarning
- Applying a function to a pandas series or DataFrame
- Merging and concatenating multiple DataFrames into one
- Summary
Visualizing Data Like a Pro
- Visualizing Data Like a Pro
- Controlling plot aesthetics
- Choosing the colors for plots
- Plotting categorical data
- Plotting with Data-Aware Grids
- Summary
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