pip install gif

pip install "gif[altair]" ? ?
pip install "gif[matplotlib]"
pip install "gif[plotly]"

import random
from matplotlib import pyplot as plt
import gif

x = [random.randint(0, 100) for _ in range(100)]
y = [random.randint(0, 100) for _ in range(100)]

gif.options.matplotlib["dpi"] = 300

@gif.frame
def plot(i):
? ? xi = x[i*10:(i+1)*10]
? ? yi = y[i*10:(i+1)*10]
? ? plt.scatter(xi, yi)
? ? plt.xlim((0, 100))
? ? plt.ylim((0, 100))

frames = []
for i in range(10):
? ? frame = plot(i)
? ? frames.append(frame)

gif.save(frames, 'example.gif', duration=3.5, unit="s", between="startend")

import random
import plotly.graph_objects as go
import pandas as pd
import gif

df = pd.DataFrame({
? ? 't': list(range(10)) * 10,
? ? 'x': [random.randint(0, 100) for _ in range(100)],
? ? 'y': [random.randint(0, 100) for _ in range(100)]
})

@gif.frame
def plot(i):
? ? d = df[df['t'] == i]
? ? fig = go.Figure()
? ? fig.add_trace(go.Scatter(
? ? ? ? x=d["x"],
? ? ? ? y=d["y"],
? ? ? ? mode="markers"
? ? ))
? ? fig.update_layout(width=500, height=300)
? ? return fig

frames = []
for i in range(10):
? ? frame = plot(i)
? ? frames.append(frame)

gif.save(frames, 'example_plotly.gif', duration=100)

# 讀取數(shù)據(jù)
df = pd.read_csv('weather_hourly_darksky.csv')
df = df.rename(columns={"time": "date"})

@gif.frame
def plot(df, date):
? ? df = df.loc[df.index[0]:pd.Timestamp(date)]

? ? fig, (ax1, ax2, ax3) = plt.subplots(3, figsize=(10, 6), dpi=100)

? ? ax1.plot(df.temperature, marker='o', linestyle='--', linewidth=1, markersize=3, color='g')
? ? maxi = round(df.temperature.max() + 3)
? ? ax1.set_xlim([START, END])
? ? ax1.set_ylim([0, maxi])
? ? ax1.set_ylabel('TEMPERATURE', color='green')

? ? ax2.plot(df.windSpeed, marker='o', linestyle='--', linewidth=1, markersize=3, color='b')
? ? maxi = round(df.windSpeed.max() + 3)
? ? ax2.set_xlim([START, END])
? ? ax2.set_ylim([0, maxi])
? ? ax2.set_ylabel('WIND', color='blue')

? ? ax3.plot(df.visibility, marker='o', linestyle='--', linewidth=1, markersize=3, color='r')
? ? maxi = round(df.visibility.max() + 3)
? ? ax3.set_xlim([START, END])
? ? ax3.set_ylim([0, maxi])
? ? ax3.set_ylabel('VISIBILITY', color='red')

frames = []
for date in pd.date_range(start=df.index[0], end=df.index[-1], freq='1M'):
? ? frame = plot(df, date)
? ? frames.append(frame)

gif.save(frames, "文件名稱.gif", duration=0.5, unit='s')

import gif
import plotly.graph_objects as go
import numpy as np
np.random.seed(1)

N = 100
x = np.random.rand(N)
y = np.random.rand(N)
colors = np.random.rand(N)
sz = np.random.rand(N) * 30

layout = go.Layout(
? ? xaxis={'range': [-2, 2]},
? ? yaxis={'range': [-2, 2]},
? ? margin=dict(l=10, r=10, t=10, b=10)
)

@gif.frame
def plot(i):
? ? fig = go.Figure(layout=layout)
? ? fig.add_trace(go.Scatter(
? ? ? ? x=x[:i],
? ? ? ? y=y[:i],
? ? ? ? mode="markers",
? ? ? ? marker=go.scatter.Marker(
? ? ? ? ? ? size=sz[:i],
? ? ? ? ? ? color=colors[:i],
? ? ? ? ? ? opacity=0.6,
? ? ? ? ? ? colorscale="Viridis"
? ? ? ? )
? ? ))
? ? fig.update_layout(width=500, height=300)
? ? return fig

frames = []
for i in range(100):
? ? frame = plot(i)
? ? frames.append(frame)

gif.save(frames, "bubble.gif")