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Pandas First Steps
course content

Course Content

Pandas First Steps

Pandas First Steps

1. The Very First Steps
What is pandas? SeriesCreating a SeriesDataFrameSeries QuizCreating a DataFrame QuizAdding a New ColumnInserting a New ColumnDeleting a Row/Column Matching the FunctionsWorking with ColumnsExtracting Columns Quiziloc BasicsUsing iloc
2. Reading Files in Pandas
CSV FilesTXT FilesWorking with Files QuizAccessing the Columns
3. Analyzing the Data
Viewing the DataHead QuizHead and Tail QuizInformation on the DataColumn Names and Data TypesFinding Null ValuesIdentifying Null Values QuizDropping Null ValuesFilling Null ValuesNull Values QuizDescribing the DataCalculating Descriptive Statisticsmax() and min()Statistical Operations Quizsum() and count()Unique Values

max() and min()

Pandas provides the max() method, which returns the highest value from a specified column. Consider the following example:

To identify the highest value of a specific column, you can use this approach:

Similarly, Pandas offers the min() method that fetches the smallest value from a given column. Here's how you can use it:

To determine the smallest value for a particular column, follow this method:

Task

Given the DataFrame audi_cars, we need to identify both the highest and lowest values from the 'price' column.

Task

Given the DataFrame audi_cars, we need to identify both the highest and lowest values from the 'price' column.

Everything was clear?

Section 3. Chapter 13
toggle bottom row

max() and min()

Pandas provides the max() method, which returns the highest value from a specified column. Consider the following example:

To identify the highest value of a specific column, you can use this approach:

Similarly, Pandas offers the min() method that fetches the smallest value from a given column. Here's how you can use it:

To determine the smallest value for a particular column, follow this method:

Task

Given the DataFrame audi_cars, we need to identify both the highest and lowest values from the 'price' column.

Task

Given the DataFrame audi_cars, we need to identify both the highest and lowest values from the 'price' column.

Everything was clear?

Section 3. Chapter 13
toggle bottom row

max() and min()

Pandas provides the max() method, which returns the highest value from a specified column. Consider the following example:

To identify the highest value of a specific column, you can use this approach:

Similarly, Pandas offers the min() method that fetches the smallest value from a given column. Here's how you can use it:

To determine the smallest value for a particular column, follow this method:

Task

Given the DataFrame audi_cars, we need to identify both the highest and lowest values from the 'price' column.

Task

Given the DataFrame audi_cars, we need to identify both the highest and lowest values from the 'price' column.

Everything was clear?

Pandas provides the max() method, which returns the highest value from a specified column. Consider the following example:

To identify the highest value of a specific column, you can use this approach:

Similarly, Pandas offers the min() method that fetches the smallest value from a given column. Here's how you can use it:

To determine the smallest value for a particular column, follow this method:

Task

Given the DataFrame audi_cars, we need to identify both the highest and lowest values from the 'price' column.

Section 3. Chapter 13
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