Contenido del Curso
Advanced Techniques in pandas
Advanced Techniques in pandas
Selecting Data Based on Condition
To excel in programming, you always need to practice. So, in this task, you must also memorize functions from the previous chapter. If you aren't solid on the functions from the last chapter, look at the hints to revise them.
Swipe to show code editor
- Extract all rows from the columns
'name' and'hazardous'using the.loc[]attribute. - Filter data; extract rows where
'hazardous'is True. - Output the first five rows of the
data_filtereddataset.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Selecting Data Based on Condition
To excel in programming, you always need to practice. So, in this task, you must also memorize functions from the previous chapter. If you aren't solid on the functions from the last chapter, look at the hints to revise them.
Swipe to show code editor
- Extract all rows from the columns
'name' and'hazardous'using the.loc[]attribute. - Filter data; extract rows where
'hazardous'is True. - Output the first five rows of the
data_filtereddataset.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Selecting Data Based on Condition
To excel in programming, you always need to practice. So, in this task, you must also memorize functions from the previous chapter. If you aren't solid on the functions from the last chapter, look at the hints to revise them.
Swipe to show code editor
- Extract all rows from the columns
'name' and'hazardous'using the.loc[]attribute. - Filter data; extract rows where
'hazardous'is True. - Output the first five rows of the
data_filtereddataset.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
To excel in programming, you always need to practice. So, in this task, you must also memorize functions from the previous chapter. If you aren't solid on the functions from the last chapter, look at the hints to revise them.
Swipe to show code editor
- Extract all rows from the columns
'name' and'hazardous'using the.loc[]attribute. - Filter data; extract rows where
'hazardous'is True. - Output the first five rows of the
data_filtereddataset.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opcionesCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones