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Pandas First Steps
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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:

Tarefa

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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Seção 3. Capítulo 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:

Tarefa

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 desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 3. Capítulo 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:

Tarefa

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 desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu 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:

Tarefa

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 desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 3. Capítulo 5
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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