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Pandas First Steps
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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

bookSeries

One of the simplest data structures in pandas is pd.Series. This structure resembles a list or an array. To create a pd.Series object in pandas, you can utilize the pd.Series() function.


              
12345

            
import pandas as pd
numbers = [17, 43, 74, 20]
series = pd.Series(numbers)

print(series)
copy

In this example, we're leveraging the pd.Series() function to create a data object of the Series type, into which we place a list of numbers.

Task

Your task is to create two pd.Series objects from two existing lists, data_1 and data_2.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

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Section 1. Chapter 2
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bookSeries

One of the simplest data structures in pandas is pd.Series. This structure resembles a list or an array. To create a pd.Series object in pandas, you can utilize the pd.Series() function.


              
12345

            
import pandas as pd
numbers = [17, 43, 74, 20]
series = pd.Series(numbers)

print(series)
copy

In this example, we're leveraging the pd.Series() function to create a data object of the Series type, into which we place a list of numbers.

Task

Your task is to create two pd.Series objects from two existing lists, data_1 and data_2.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 1. Chapter 2
toggle bottom row

bookSeries

One of the simplest data structures in pandas is pd.Series. This structure resembles a list or an array. To create a pd.Series object in pandas, you can utilize the pd.Series() function.


              
12345

            
import pandas as pd
numbers = [17, 43, 74, 20]
series = pd.Series(numbers)

print(series)
copy

In this example, we're leveraging the pd.Series() function to create a data object of the Series type, into which we place a list of numbers.

Task

Your task is to create two pd.Series objects from two existing lists, data_1 and data_2.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

One of the simplest data structures in pandas is pd.Series. This structure resembles a list or an array. To create a pd.Series object in pandas, you can utilize the pd.Series() function.


              
12345

            
import pandas as pd
numbers = [17, 43, 74, 20]
series = pd.Series(numbers)

print(series)
copy

In this example, we're leveraging the pd.Series() function to create a data object of the Series type, into which we place a list of numbers.

Task

Your task is to create two pd.Series objects from two existing lists, data_1 and data_2.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 1. Chapter 2
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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