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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

bookColumn Names and Data Types

To see all the column names as a list, we have to use this line of code:

We can also get a summary of all the types of data that are in the dataframe. For this, we have to use the following method: dtypes. Let's look at the example:

Task

We have a dataframe named data_frame.

  1. Get the column names that this dataframe contains.
  2. Get the data types of these columns from the data from this dataframe.

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Section 3. Chapter 5
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bookColumn Names and Data Types

To see all the column names as a list, we have to use this line of code:

We can also get a summary of all the types of data that are in the dataframe. For this, we have to use the following method: dtypes. Let's look at the example:

Task

We have a dataframe named data_frame.

  1. Get the column names that this dataframe contains.
  2. Get the data types of these columns from the data from this dataframe.

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 3. Chapter 5
toggle bottom row

bookColumn Names and Data Types

To see all the column names as a list, we have to use this line of code:

We can also get a summary of all the types of data that are in the dataframe. For this, we have to use the following method: dtypes. Let's look at the example:

Task

We have a dataframe named data_frame.

  1. Get the column names that this dataframe contains.
  2. Get the data types of these columns from the data from this dataframe.

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!

To see all the column names as a list, we have to use this line of code:

We can also get a summary of all the types of data that are in the dataframe. For this, we have to use the following method: dtypes. Let's look at the example:

Task

We have a dataframe named data_frame.

  1. Get the column names that this dataframe contains.
  2. Get the data types of these columns from the data from this dataframe.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 5
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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