Contenido del Curso
Introduction to Python for Data Analysis
Introduction to Python for Data Analysis
Operations with the File
We are ready to continue!
Now we are going to learn how to:
- Import libraries
- Read files with the
pandas
- Create DataFrames.
Import libraries
Python is an ocean of libraries that serve various purposes, and as a Python developer, we must have sound knowledge of the best ones.
Books in every library are functions that can be used to perform different operations. Now we are going to work with the pandas library.
To import the library, use the following code:
pd
alias is used for the ease of the work usually.
Creating the DF by reading the csv-file
There is a special function in the pandas
- .read_csv()
. The function helps to meet (read) the file (csv, xlsx, etc.).
Pandas is the library that works with the DataFrames. DF is a structure made of your file.
Sounds a little bit difficult? Don't worry! It only seems to be like that.
To create the DataFrame from the csv-file, use the following code:
Tarea
Let's try to create the DataFrame
by opening the csv-file
.
- Import the
pandas
with thepd
alias. - Create the
df
variable and put the read csv-file into this variable.
¡Gracias por tus comentarios!
Operations with the File
We are ready to continue!
Now we are going to learn how to:
- Import libraries
- Read files with the
pandas
- Create DataFrames.
Import libraries
Python is an ocean of libraries that serve various purposes, and as a Python developer, we must have sound knowledge of the best ones.
Books in every library are functions that can be used to perform different operations. Now we are going to work with the pandas library.
To import the library, use the following code:
pd
alias is used for the ease of the work usually.
Creating the DF by reading the csv-file
There is a special function in the pandas
- .read_csv()
. The function helps to meet (read) the file (csv, xlsx, etc.).
Pandas is the library that works with the DataFrames. DF is a structure made of your file.
Sounds a little bit difficult? Don't worry! It only seems to be like that.
To create the DataFrame from the csv-file, use the following code:
Tarea
Let's try to create the DataFrame
by opening the csv-file
.
- Import the
pandas
with thepd
alias. - Create the
df
variable and put the read csv-file into this variable.
¡Gracias por tus comentarios!
Operations with the File
We are ready to continue!
Now we are going to learn how to:
- Import libraries
- Read files with the
pandas
- Create DataFrames.
Import libraries
Python is an ocean of libraries that serve various purposes, and as a Python developer, we must have sound knowledge of the best ones.
Books in every library are functions that can be used to perform different operations. Now we are going to work with the pandas library.
To import the library, use the following code:
pd
alias is used for the ease of the work usually.
Creating the DF by reading the csv-file
There is a special function in the pandas
- .read_csv()
. The function helps to meet (read) the file (csv, xlsx, etc.).
Pandas is the library that works with the DataFrames. DF is a structure made of your file.
Sounds a little bit difficult? Don't worry! It only seems to be like that.
To create the DataFrame from the csv-file, use the following code:
Tarea
Let's try to create the DataFrame
by opening the csv-file
.
- Import the
pandas
with thepd
alias. - Create the
df
variable and put the read csv-file into this variable.
¡Gracias por tus comentarios!
We are ready to continue!
Now we are going to learn how to:
- Import libraries
- Read files with the
pandas
- Create DataFrames.
Import libraries
Python is an ocean of libraries that serve various purposes, and as a Python developer, we must have sound knowledge of the best ones.
Books in every library are functions that can be used to perform different operations. Now we are going to work with the pandas library.
To import the library, use the following code:
pd
alias is used for the ease of the work usually.
Creating the DF by reading the csv-file
There is a special function in the pandas
- .read_csv()
. The function helps to meet (read) the file (csv, xlsx, etc.).
Pandas is the library that works with the DataFrames. DF is a structure made of your file.
Sounds a little bit difficult? Don't worry! It only seems to be like that.
To create the DataFrame from the csv-file, use the following code:
Tarea
Let's try to create the DataFrame
by opening the csv-file
.
- Import the
pandas
with thepd
alias. - Create the
df
variable and put the read csv-file into this variable.