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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

Viewing the Data

To view the first few rows of a dataset in Python, we can utilize the head() method. This function accepts an integer as its argument, which specifies the number of rows to display (by default, it shows first 5 rows). Let's take a look at the first 10 rows of our dataset:

If we want to see the last few rows of a dataframe, we can use the tail() method. It works similarly to the head() method:

Another useful function for exploring dataframes is sample(). This function fetches random records from a dataframe. By default, it retrieves a single random record unless specified otherwise.

Tarefa

We have a dataframe named frame.

  1. We need to extract the first 10 rows from this dataframe.
  2. We need to retrieve the last 15 rows from this dataframe.
  3. We want to select a random sample of 12 rows from this dataframe.

Tarefa

We have a dataframe named frame.

  1. We need to extract the first 10 rows from this dataframe.
  2. We need to retrieve the last 15 rows from this dataframe.
  3. We want to select a random sample of 12 rows from this dataframe.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 3. Capítulo 1
toggle bottom row

Viewing the Data

To view the first few rows of a dataset in Python, we can utilize the head() method. This function accepts an integer as its argument, which specifies the number of rows to display (by default, it shows first 5 rows). Let's take a look at the first 10 rows of our dataset:

If we want to see the last few rows of a dataframe, we can use the tail() method. It works similarly to the head() method:

Another useful function for exploring dataframes is sample(). This function fetches random records from a dataframe. By default, it retrieves a single random record unless specified otherwise.

Tarefa

We have a dataframe named frame.

  1. We need to extract the first 10 rows from this dataframe.
  2. We need to retrieve the last 15 rows from this dataframe.
  3. We want to select a random sample of 12 rows from this dataframe.

Tarefa

We have a dataframe named frame.

  1. We need to extract the first 10 rows from this dataframe.
  2. We need to retrieve the last 15 rows from this dataframe.
  3. We want to select a random sample of 12 rows from this dataframe.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

Seção 3. Capítulo 1
toggle bottom row

Viewing the Data

To view the first few rows of a dataset in Python, we can utilize the head() method. This function accepts an integer as its argument, which specifies the number of rows to display (by default, it shows first 5 rows). Let's take a look at the first 10 rows of our dataset:

If we want to see the last few rows of a dataframe, we can use the tail() method. It works similarly to the head() method:

Another useful function for exploring dataframes is sample(). This function fetches random records from a dataframe. By default, it retrieves a single random record unless specified otherwise.

Tarefa

We have a dataframe named frame.

  1. We need to extract the first 10 rows from this dataframe.
  2. We need to retrieve the last 15 rows from this dataframe.
  3. We want to select a random sample of 12 rows from this dataframe.

Tarefa

We have a dataframe named frame.

  1. We need to extract the first 10 rows from this dataframe.
  2. We need to retrieve the last 15 rows from this dataframe.
  3. We want to select a random sample of 12 rows from this dataframe.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo

Tudo estava claro?

To view the first few rows of a dataset in Python, we can utilize the head() method. This function accepts an integer as its argument, which specifies the number of rows to display (by default, it shows first 5 rows). Let's take a look at the first 10 rows of our dataset:

If we want to see the last few rows of a dataframe, we can use the tail() method. It works similarly to the head() method:

Another useful function for exploring dataframes is sample(). This function fetches random records from a dataframe. By default, it retrieves a single random record unless specified otherwise.

Tarefa

We have a dataframe named frame.

  1. We need to extract the first 10 rows from this dataframe.
  2. We need to retrieve the last 15 rows from this dataframe.
  3. We want to select a random sample of 12 rows from this dataframe.

Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 3. Capítulo 1
Mude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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