python plotly

前述：https://blog.csdn.net/wxkhturfun/article/details/111464671
这里对参数进行一些分析。

１.条形图

首先执行一下:

import pandas as pd
import plotly.express as px

df = px.data.gapminder()
#fig = px.bar(df, x="continent", y="pop", color="continent",
 # animation_frame="year", animation_group="country", range_y=[0,4000000000])
print(type(df))
print(df)
#fig.show()

会显示如下信息：

<class 'pandas.core.frame.DataFrame'>
          country continent  year  lifeExp       pop   gdpPercap iso_alpha  iso_num
0     Afghanistan      Asia  1952   28.801   8425333  779.445314       AFG        4
1     Afghanistan      Asia  1957   30.332   9240934  820.853030       AFG        4
2     Afghanistan      Asia  1962   31.997  10267083  853.100710       AFG        4
3     Afghanistan      Asia  1967   34.020  11537966  836.197138       AFG        4
4     Afghanistan      Asia  1972   36.088  13079460  739.981106       AFG        4
...           ...       ...   ...      ...       ...         ...       ...      ...
1699     Zimbabwe    Africa  1987   62.351   9216418  706.157306       ZWE      716
1700     Zimbabwe    Africa  1992   60.377  10704340  693.420786       ZWE      716
1701     Zimbabwe    Africa  1997   46.809  11404948  792.449960       ZWE      716
1702     Zimbabwe    Africa  2002   39.989  11926563  672.038623       ZWE      716
1703     Zimbabwe    Africa  2007   43.487  12311143  469.709298       ZWE      716

[1704 rows x 8 columns]

所以我们要创造一个数据类型为<class ‘pandas.core.frame.DataFrame’>的东西。
具体操作如下：

data = {
        'x':['男','女','女','男','男'],
        'z':['小明','小红','小芳','大黑','张三'],
        'y':[20,21,25,24,29],
        'cao':[0,255,128,1,1],
        'a':['男','女','女','男','男'],}
df = pd.DataFrame(data,index=['one','two','three','four','five'],
               columns=['x','z','y','cao','a'])

fig = px.bar(df, x="x", y="y", color="z",
  animation_frame="cao", animation_group="a", range_y=[0,30])
fig.show()

可以看到x y color animation_frame animation_group的对象都只是字典的键（值），其值也不一定是数字，比如上例中的x、color就不是数字。

标签：...,Afghanistan,python,716,ZWE,df,animation,plotly
来源： https://blog.csdn.net/wxkhturfun/article/details/111479126