数据动态图怎么做，效果图，
多子图联动竞赛图
安装
pip?install?pandas_alive #或者 conda?install?pandas_alive?-c?conda-forge
玩起来
支持数据
数据格式如下，
使用方法类似pandas??这些，pandas仅需一行代码解决 支持图形类别
动态地图
结合geopandas，
动态水平bar
import?pandas?as?pd
import?pandas_alive
import?matplotlib.pyplot?as?plt
plt.style.use('ggplot')
#读入数据
elec_df?=?pd.read_csv("Aus_Elec_Gen_1980_2018.csv",
??????????????????????index_col=0,
??????????????????????parse_dates=[0],
??????????????????????thousands=',')
#定义求和def
def?current_total(values):
????total?=?values.sum()
????s?=?f'Total?:?{int(total)}'
????return?{'x':?.85,?'y':?.2,?'s':?s,?'ha':?'right',?'size':?11}
#缺省值0填充、绘图
elec_df.fillna(0).tail(n=10).plot_animated(
????'electricity-generated-australia.gif',??#保存gif名称
????period_fmt="%d/%m/%Y",??#动态更新图中时间戳
????title='Australian?Electricity?Sources?1980-2018',??#标题
????perpendicular_bar_func='mean',??#添加均值辅助线
????period_summary_func=current_total,??#汇总
????cmap='Set1',??#定义调色盘
????n_visible=5,??#柱子显示数
????orientation='h',#柱子方向
)
动态垂直bar
动态折线
elec_df.diff().fillna(0).tail(n=10).plot_animated(filename='line-chart.gif',
?????????????????????????????????????????????????kind='line',#指定折线模式
?????????????????????????????????????????????????cmap='Set1',
?????????????????????????????????????????????????period_label={
?????????????????????????????????????????????????????'x':?0.25,
?????????????????????????????????????????????????????'y':?0.9
?????????????????????????????????????????????????},
?????????????????????????????????????????????????line_width=1,
?????????????????????????????????????????????????add_legend=True,
?????????????????????????????????????????????????fill_under_line_color='#01a2d9')
动态累积bar
import?pandas_alive
covid_df.sum(axis=1).fillna(0).tail(n=10).plot_animated(
????filename='sumbar-chart.gif',
????kind='bar',???#指定bar模式
????cmap='Set1',??#定义调色盘
????period_label={
????????'x':?0.1,
????????'y':?0.9
????},
????orientation='h',
????enable_progress_bar=True,
????steps_per_period=2,
????interpolate_period=True,
????period_length=200)
动态散点图
import?pandas?as?pd
import?pandas_alive
#max散点数据
max_temp_df?=?pd.read_csv(
????"Newcastle_Australia_Max_Temps.csv",
????parse_dates={"Timestamp":?["Year",?"Month",?"Day"]},
)
#min散点数据
min_temp_df?=?pd.read_csv(
????"Newcastle_Australia_Min_Temps.csv",
????parse_dates={"Timestamp":?["Year",?"Month",?"Day"]},
)
#按时间戳merge?max/min数据
merged_temp_df?=?pd.merge_asof(max_temp_df,?min_temp_df,?on="Timestamp")
merged_temp_df.index?=?pd.to_datetime(
????merged_temp_df["Timestamp"].dt.strftime('%Y/%m/%d'))
keep_columns?=?[
????"Minimum?temperature?(Degree?C)",?"Maximum?temperature?(Degree?C)"
]
merged_temp_df.head(n=5000)[keep_columns].resample("Y").mean().plot_animated(
????filename='scatter-chart.gif',
????cmap='Set1',?
????kind="scatter",#指定散点模式
????size=10,
????title='Max?&?Min?Temperature?Newcastle,?Australia')
动态气泡图
import?pandas_alive
multi_index_df?=?pd.read_csv("multi.csv",?header=[0,?1],?index_col=0)
multi_index_df.index?=?pd.to_datetime(multi_index_df.index,?dayfirst=True)
map_chart?=?multi_index_df.tail(n=40).plot_animated(
????kind="bubble",??#指定气泡模式
????filename="bubble-chart.gif",
????x_data_label="Longitude",
????y_data_label="Latitude",
????size_data_label="Cases",
????color_data_label="Cases",
????vmax=5,
????steps_per_period=1,
????interpolate_period=True,
????period_length=500,
????dpi=150)
多子图一起动
这部分可以结合matplotlib的多子图绘制，实现各种个性化动图，可参考 matplotlib-多子图绘制(为所欲为版) ，核心代码如下，
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