Зміст курсу

Advanced Techniques in pandas

1. Getting Familiar With Indexing and Selecting Data

Outputting Columns by Title Outputting Rows by Index Selecting Specific Rows and Columns Learning More About Indexation Getting Familiar With lambda Functions Expanding Functionality of the .iloc[] Attribute

2. Dealing With Conditions

Setting Condition Selecting Data Based on Condition Dealing With Several Conditions Making Your Code Beautiful Conditions Quiz

3. Extracting Data

Is Data in ...?Combining Your Knowledge Between Method Extracting Specific Data Finding the Smallest Values of a Column Finding the Largest Values of a Column Finding the Correlation

4. Aggregating Data

Getting Familiar With the .groupby() Method Grouping by Several Columns Complicated Grouping Advanced Grouping Dealing With Pivot Tables Creating a Pivot Table

5. Preprocessing Data

Checking for Missing Values Calculating the Number of Missing Values What Will We Do With the NaN Values?How to Delete Only NaN Values?Filling In the Missing Values Managing Categorical Variables Checking the Column Type Managing an Incorrect Column Renaming the Column

Getting Familiar With lambda Functions

Sometimes we need to put some conditions on the indices. In these cases, you need to use a lambda function inside iloc[].

Let's figure out what we can do using lambda:

This code will output the first five rows of the dataset, the rows with the indices 0, 1, 2, 3, and 4.

lambda x - x is the argument we will work with (the item of the data set);
x.index - extracts only values of rows' indices;
x.index < 5 - the condition according to which we will extract data. Here, only rows with indices that are less than 5.

Завдання

Your task here is to divide data into two groups: one has odd indices and the other even. Follow the algorithm:

Import the pandas library with the pd alias.
Read the csv file.
Extract only rows with even indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is even (if you do not know how to do this, check the hint).
Extract only rows with odd indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
Output data:
- Output the first five rows of the even indices;
- Output the last five rows of the odd indices.

Завдання

Your task here is to divide data into two groups: one has odd indices and the other even. Follow the algorithm:

Import the pandas library with the pd alias.
Read the csv file.
Extract only rows with even indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is even (if you do not know how to do this, check the hint).
Extract only rows with odd indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
Output data:
- Output the first five rows of the even indices;
- Output the last five rows of the odd indices.

Все було зрозуміло?

Секція 1. Розділ 5

Getting Familiar With lambda Functions

Sometimes we need to put some conditions on the indices. In these cases, you need to use a lambda function inside iloc[].

Let's figure out what we can do using lambda:

This code will output the first five rows of the dataset, the rows with the indices 0, 1, 2, 3, and 4.

lambda x - x is the argument we will work with (the item of the data set);
x.index - extracts only values of rows' indices;
x.index < 5 - the condition according to which we will extract data. Here, only rows with indices that are less than 5.

Завдання

Your task here is to divide data into two groups: one has odd indices and the other even. Follow the algorithm:

Import the pandas library with the pd alias.
Read the csv file.
Extract only rows with even indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is even (if you do not know how to do this, check the hint).
Extract only rows with odd indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
Output data:
- Output the first five rows of the even indices;
- Output the last five rows of the odd indices.

Завдання

Your task here is to divide data into two groups: one has odd indices and the other even. Follow the algorithm:

Import the pandas library with the pd alias.
Read the csv file.
Extract only rows with even indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is even (if you do not know how to do this, check the hint).
Extract only rows with odd indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
Output data:
- Output the first five rows of the even indices;
- Output the last five rows of the odd indices.

Все було зрозуміло?

Секція 1. Розділ 5

Getting Familiar With lambda Functions

Sometimes we need to put some conditions on the indices. In these cases, you need to use a lambda function inside iloc[].

Let's figure out what we can do using lambda:

This code will output the first five rows of the dataset, the rows with the indices 0, 1, 2, 3, and 4.

lambda x - x is the argument we will work with (the item of the data set);
x.index - extracts only values of rows' indices;
x.index < 5 - the condition according to which we will extract data. Here, only rows with indices that are less than 5.

Завдання

Your task here is to divide data into two groups: one has odd indices and the other even. Follow the algorithm:

Import the pandas library with the pd alias.
Read the csv file.
Extract only rows with even indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is even (if you do not know how to do this, check the hint).
Extract only rows with odd indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
Output data:
- Output the first five rows of the even indices;
- Output the last five rows of the odd indices.

Завдання

Your task here is to divide data into two groups: one has odd indices and the other even. Follow the algorithm:

Import the pandas library with the pd alias.
Read the csv file.
Extract only rows with even indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is even (if you do not know how to do this, check the hint).
Extract only rows with odd indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
Output data:
- Output the first five rows of the even indices;
- Output the last five rows of the odd indices.

Все було зрозуміло?

Sometimes we need to put some conditions on the indices. In these cases, you need to use a lambda function inside iloc[].

Let's figure out what we can do using lambda:

This code will output the first five rows of the dataset, the rows with the indices 0, 1, 2, 3, and 4.

lambda x - x is the argument we will work with (the item of the data set);
x.index - extracts only values of rows' indices;
x.index < 5 - the condition according to which we will extract data. Here, only rows with indices that are less than 5.

Завдання

Your task here is to divide data into two groups: one has odd indices and the other even. Follow the algorithm:

Import the pandas library with the pd alias.
Read the csv file.
Extract only rows with even indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is even (if you do not know how to do this, check the hint).
Extract only rows with odd indices:
- Apply the .iloc[] attribute to the data;
- Within the .iloc[] attribute, apply the lambda function with the x argument;
- Set a condition to check if the number is odd (if you do not know how to do this, check the hint).
Output data:
- Output the first five rows of the even indices;
- Output the last five rows of the odd indices.

Секція 1. Розділ 5

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів