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| import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation,FFMpegFileWriter
import numpy as np
from matplotlib.dates import DateFormatter
from IPython import display
import ffmpeg
# donnees sur les populations en Chine, Inde, Afrique, Amérique Latine
china = pd.read_csv('C:\\Users\\laure\\python\\data\\china.csv')
india = pd.read_csv('C:\\Users\\laure\\python\\data\\india.csv')
latin_america = pd.read_csv('C:\\Users\\laure\\python\\data\\latin_america.csv')
africa = pd.read_csv('C:\\Users\\laure\\python\\data\\africa.csv')
# Utilisez la colonne 'date' comme index pour votre DataFrame
china['date'] = pd.to_datetime(china['date'])
africa['date'] = pd.to_datetime(africa['date'])
latin_america['date'] = pd.to_datetime(latin_america['date'])
india['date'] = pd.to_datetime(india['date'])
china.set_index('date', inplace=True)
africa.set_index('date', inplace=True)
latin_america.set_index('date', inplace=True)
india.set_index('date', inplace=True)
# Créez une figure et un objet axes
fig, ax = plt.subplots(figsize=(10, 6))
ax.set_title('Population in Africa, China, Latin America, and India by 2100', pad=20, fontsize=20, weight='bold')
ax.annotate('Population in million', xy=(0.5, 1.02), xytext=(0, 0), xycoords='axes fraction',
textcoords='offset points', ha='center', fontsize=8, color='grey')
ax.set_facecolor("black")
# Plot des lignes (initialement vides)
line_china, = ax.plot(china.index, china[" Population"], label='China', color='red')
text_china = ax.text(1, 1, "abc", color="red")
annotation_china = ax.annotate("", xy=(china.index[0], china[" Population"].iloc[0]), xytext=(10, 10),
textcoords="offset points", ha='right', fontsize=10, color='red')
line_india, = ax.plot(india.index, india[" Population"], label='India', color='blue')
text_india = ax.text(1, 1, "abc", color="blue")
annotation_india = ax.annotate("", xy=(india.index[0], india[" Population"].iloc[0]), xytext=(10, 10),
textcoords="offset points", ha='right', fontsize=10, color='blue')
line_africa, = ax.plot(africa.index, africa[" Population"], label='Africa', color='green')
text_africa = ax.text(1, 1, "abc", color="green")
annotation_africa = ax.annotate("", xy=(africa.index[0], africa[" Population"].iloc[0]), xytext=(10, 10),
textcoords="offset points", ha='right', fontsize=10, color='green')
line_latin_america, = ax.plot(latin_america.index, latin_america[" Population"], label='Latin America', color='yellow')
text_latin_america = ax.text(1, 1, "abc", color="yellow")
annotation_latin_america = ax.annotate("", xy=(latin_america.index[0], latin_america[" Population"].iloc[0]),
xytext=(10, 10), textcoords="offset points", ha='right', fontsize=10, color='yellow')
# Add legend
ax.legend()
# Set x-axis and y-axis labels
ax.set_xlabel('Years from 1950 to 2100, Laurent Le Grin, data source: Macrotrends')
ax.set_ylabel('Population in billion')
# Function to initialize the animation
def init():
line_china.set_data([], [])
annotation_china.set_text("")
line_india.set_data([], [])
annotation_india.set_text("")
line_latin_america.set_data([], [])
annotation_latin_america.set_text("")
line_africa.set_data([], [])
annotation_africa.set_text("")
return line_china, annotation_china, line_india, annotation_india, line_latin_america, annotation_latin_america, line_africa, annotation_africa
# Function to update the animation
def update(frame):
line_china.set_data(china.index[:frame], china[" Population"][:frame])
text_china.set_position((china.index[frame], china[" Population"].iloc[frame]))
text_china.set_text("China")
annotation_china.set_position((china.index[frame], china[" Population"].iloc[frame]))
annotation_china.set_text(f"China: {china[' Population'].iloc[frame]:,.2f} billion")
line_india.set_data(india.index[:frame], india[" Population"][:frame])
text_india.set_position((india.index[frame], india[" Population"].iloc[frame]))
text_india.set_text("India")
annotation_india.set_position((india.index[frame], india[" Population"].iloc[frame]))
annotation_india.set_text(f"India: {india[' Population'].iloc[frame]:,.2f} billion")
line_latin_america.set_data(latin_america.index[:frame], latin_america[" Population"][:frame])
text_latin_america.set_position((latin_america.index[frame], latin_america[" Population"].iloc[frame]))
text_latin_america.set_text("Latam")
annotation_latin_america.set_position((latin_america.index[frame], latin_america[" Population"].iloc[frame]))
annotation_latin_america.set_text(f"Latam: {latin_america[' Population'].iloc[frame]:,.2f} billion")
line_africa.set_data(africa.index[:frame], africa[" Population"][:frame])
text_africa.set_position((africa.index[frame], africa[" Population"].iloc[frame]))
text_africa.set_text("Africa")
annotation_africa.set_position((africa.index[frame], africa[" Population"].iloc[frame]))
annotation_africa.set_text(f"Africa: {africa[' Population'].iloc[frame]:,.2f} billion")
return line_china, annotation_china, line_india, annotation_india, line_latin_america, annotation_latin_america, line_africa, annotation_africa
# Create the animation
num_frames = len(china)
anim = FuncAnimation(fig, update, frames=num_frames, init_func=init, interval=300, blit=False, repeat=False)
# Sauvegarder l'animation
anim.save("C:\\Users\\laure\\python\\test.gif", writer='pillow', fps=25)
# Show the plot (optional, you can comment this line if you don't want to display the plot)
plt.show() |
