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Gráficos básicos en python (Matplotlib, Seaborn, Plotly) $7.29   Add to cart
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Gráficos básicos en python (Matplotlib, Seaborn, Plotly)
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  • Course
  • Gráficos en Visual Studio Code
  • Institution
  • Mondragon Unibertsitatea

Gráficos en Visual Studio Code (python) con ejemplos prácticos de los tipos de gráficos que se pueden encontrar con las librerías de Matplotlib, Seaborn y Plotly. Amplia variedad de gráficos utilizando cada librería.

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Document information

  • February 14, 2024
  • 44
  • 2023/2024
  • Class notes
  • Ana sánchez
  • All classes

Subjects

  • matplotlib
  • seaborn
  • visual studio code
  • vscode
  • gráficos
  • python
  • pandas
  • visualización
  • visualización de datos
  • plot
  • plotly
  • plotly express

Written for

  • Mondragon Unibertsitatea
  • Visualización de datos
  • Gráficos en Visual Studio Code
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Content preview

VISUALIZACIÓN DE DATOS

Gráficos en Visual Studio Code
Matplotlib

Importación de librerías




Carga de datos: pd.read_csv




Estadísticos descriptivos del dataframe: .describe()




1

,Visualizar primeras filas del dataframe: head




Cambiar el formato de una columna: pd.to_datetime




2

,GRÁFICOS DE LÍNEAS:

Gráfico 1:




3

, fig1: Hace referencia a la figura entera
ax1: Hace referencia a la parte del gráfico

plt.subplots(): Crea el objeto
plot(): Crea el gráfico

set_ylim: Limita el eje y
set_xlabel: Le da nombre al eje x
set_ylabel: Le da nombre al eje y
set_title: Le da título a la figura

annotate: Hace una anotación en el gráfico
ax1.annotate("Ola de frio", xy = [pd.to_datetime("2015-01-
15"), 260])
(“Anotación”, xy = [posición eje x, posición eje y])

set_size_inches: Cambia el tamaño de la figura (en este caso, porque es
fig1.)
set_dpi: Cambia la densidad de los píxeles

fig1.savefig: Guarda la figura entera
fig1.savefig(os.path.join(dir_graficos,
"valencia_temp.png"))
(os.path.join(Directorio, Nombre figura)




4

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