beta_plot_area

beta_plot_area(
    df,
    x,
    y,
    palette=PALETTE,
    title=None,
    height=400,
    legend="right"
)

Parameters

• df (pandas.DataFrame) The data that's plotted on the bar chart.

• x (json) To config the X axis. For example (scroll to Examples), to use the "time" column of the df as the X axis and name the X axis "Time"

• y (json) To config the Y axis. For example, to use the "close" field and "amount" field of the df and name them "Price" and "Amount"

• title (str) Title of the chart.

Example:

The "Data" tab shows what the chart data looks like. It will be stored in a variable called "result". We will use "time" column as the X axis. We will also use "amount" and "close" as the Y axis. The "Code" tab shows the code to render the data in an area chart.

Data

  amount                time    high     low    open  volumefrom    volumeto   close  
167.2476 2021-08-15 06:00:00  408.27  402.58  406.18     2136.61   864338.09  404.58                 
0.000000 2021-08-15 07:00:00  405.67  398.43  404.58     4822.46  1934925.23  399.92                 
1.434918 2021-08-15 08:00:00  402.38  398.10  399.92     1781.80   713640.55  399.80                 
0.000000 2021-08-15 09:00:00  403.77  397.92  399.80     1207.67   484997.49  402.94                 
0.000000 2021-08-15 10:00:00  404.08  397.86  402.94     1136.45   455749.43  399.27                 
      ..                 ...     ...     ...     ...         ...         ...     ... 
5.188405 2021-08-21 20:00:00  399.55  394.99  396.65     5887.50  2340051.17  397.49                 
0.000000 2021-08-21 21:00:00  403.03  396.83  397.49     2886.81  1157323.45  402.72                 
0.000000 2021-08-21 22:00:00  404.30  401.10  402.72      968.54   390563.73  402.59                 
1.000000 2021-08-21 23:00:00  403.98  399.99  402.59      856.58   343851.88  400.22                 
0.000000 2021-08-22 00:00:00  405.71  400.05  400.22     1858.54   750769.21  404.57

Code

import bubbletea

bubbletea.beta_plot_area(
    df=result,
    x={"title": "Time", "field": "time"},
    y={
        "stack": False,
        "data": [
            {"title": "Price", "field": "close"},
            {"title": "Amount", "field": "amount"},
        ],
    },
    title="Hourly AAVE Deposits vs Pricing",
)

Output