gify-plot 0.0.5

A basic package to turn plots into gifs

gify_plot

A simple Python package to turn your plots into gifs (Matplotlib, Seabron, Plotly)

How to install it

pip install gify_plot

Args

Mandatory

• X:list ==> [ [x of type 1],[x of type 2],[x of type 3], ...]
• Y:list ==> Same as X but for y elements. If only one Y el is given, then the array is updated to have the same length of X
• plot_type:str ==> The plot_type changes according to plot_library
• plot_library:str ==> plt | sns | px (short forms for matplotlib.pyplot, seaborn and plotly.express)
• name:str ==> The name of pngs and gif given as output,
• plot_title:str
• xaxis_title:str
• yaxis_title:str

Optional

• legend_labels = [] ==> If empty then progressive numbers are used for the elements in the legend. If inserted, be sure to put names in the same order of provided data
• colors = ["blue","red","green","orange","violet","yellow","black","brown","cyan"] ==> it must have at least the same length of groups provided in the provided data
• sort_by_x = True ==> Sorts value by xaxis (e.g. date)
• sort_by_y = False ==> If set to True, it overrides sort_by_x

How to use it

#A random df as a showcase

from gify_plot import *  (or, alternatively, "from gify_plot import gify_plot")
import numpy as np
import pandas as pd

df = pd.DataFrame({"G1_X" : np.random.randint(low=1, high=100, size=100),
                    "G2_X"  : np.random.randint(low=1,high=100, size=100),
                   "G1_Y" : np.random.randint(low=1, high=100, size=100),
                    "G2_Y"  : np.random.randint(low=1, high=100, size=100),
                     })

gify_plot(X=[df["G1_X"],df["G2_X"]],
           Y=[df["G1_Y"],df["G2_Y"]],
           plot_type="line", plot_library="plt", name="test_gif",
           plot_title="Test gif", xaxis_title="year", yaxis_title="time"
          )

It ouputs a list of PNG in the dedicated folder, along with the resulting GIF.

#Supported libraries and plots:

• plt:
  • line
  • bar
  • scatter
  • stackplot (no legend)
• sns:
  • lineplot
  • scatterplot
  • barplot
• px:
  • line
  • scatter
  • area
  • bar