import pandas as pd
import numpy as np
import plotly.express as px

def create_animation_graph(input_array: np.array, start: str = '1900-01-01 0:00', g_type: str = 'line', y_label: str = 'value',
                           x_label: str = 'time') -> object:
    """
    np.arrayを入力すると、plotlyのアニメーションするグラフを返す
    :param input_array:データのnp.array
    :param start:開始時刻
    :param g_type:グラフタイプ 'line','bar','area','scatter'
    :param y_label:y軸名称
    :param x_label:x軸名称
    :return:
    """
    df = pd.DataFrame()
    times = pd.date_range(start=start, periods=len(input_array), freq='T').strftime('%H:%M')

    # animation用のデータフレームを作成
    for idx, time in enumerate(list(times)):
        add_df = pd.DataFrame({x_label: [time for time in times [0:idx]],
                               y_label: input_array [0:idx],
                               'tick': idx})
        df = pd.concat([df, add_df])

    range_x_max = len(input_array) - 2

    # plotly.expressで描画
    if g_type == 'scatter':
        fig = px.scatter(df, 
                         x=x_label, 
                         y=y_label,
                         animation_frame="tick",
                         range_y=[0, input_array.max()],
                         range_x=[0, range_x_max])
    elif g_type == 'line':
        fig = px.line(df, 
                      x=x_label, 
                      y=y_label, 
                      animation_frame="tick", 
                      range_y=[0, input_array.max()],
                      range_x=[0, range_x_max])
    elif g_type == 'bar':
        fig = px.bar(df, 
                     x=x_label, 
                     y=y_label, 
                     animation_frame="tick", 
                     range_y=[0, input_array.max()],
                     range_x=[0, range_x_max])
    elif g_type == 'area':
        fig = px.area(df, 
                      x=x_label, 
                      y=y_label, 
                      animation_frame="tick", 
                      range_y=[0, input_array.max()],
                      range_x=[0, range_x_max])
    else:
        raise KeyError('g_typeが違います')

    return fig

input_array = np.array([_*np.random.rand() for _ in  np.arange(0,30)*2])
create_animation_graph(input_array,g_type='area',start='00:00',x_label='時刻',y_label='電力量')