matplotlib 在python中绘制来自dict的2D网格数据

ct3nt3jp 于 2022-11-15 发布在 Python

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我想绘制一个2D网格（24x4），其中每个网格坐标都有一个值，数据在一个字典中，如下所示：

{map1_ID:[
             ['x_coor','y_coor','data_to plot'],
             ['x_coor','y_coor','data_to plot'],
             ...
         ],
  map2_ID:[
             ['x_coor','y_coor','data_to plot'], 
             ['x_coor','y_coor','data_to plot'],
             ...
          ]}

如何使用matplotlib或python中的其他库来实现这一点？

matplotlib

来源：https://stackoverflow.com/questions/74155894/plot-a-2d-grid-data-from-dict-in-python

1条答案

按热度按时间

von4xj4u1#

这是你要找的东西的粗略版本。

import plotly.graph_objects as go

maps = {'map1_ID': [[0, 0, 1], [0, 1, 1], [0, 2, 10], [0, 3, 1], [1, 0, 1], [1, 1, 1], [1, 2, 14], [1, 3, 1], [2, 0, 1], [2, 1, 1], [2, 2, 10], [2, 3, 1], [3, 0, 1], [3, 1, 1], [3, 2, 10], [3, 3, 1], [4, 0, 1], [4, 1, 1], [4, 2, 10], [4, 3, 1], [5, 0, 1], [5, 1, 1], [5, 2, 10], [5, 3, 1], [6, 0, 1], [6, 1, 1], [6, 2, 10], [6, 3, 1], [7, 0, 1], [7, 1, 1], [7, 2, 10], [7, 3, 1], [8, 0, 1], [8, 1, 1], [8, 2, 10], [8, 3, 1], [9, 0, 1], [9, 1, 1], [9, 2, 10], [9, 3, 1], [10, 0, 1], [10, 1, 1], [10, 2, 12], [10, 3, 1], [11, 0, 1], [11, 1, 1], [11, 2, 10], [11, 3, 1], [12, 0, 1], [12, 1, 1], [12, 2, 10], [12, 3, 1], [13, 0, 1], [13, 1, 1], [13, 2, 10], [13, 3, 1], [14, 0, 1], [14, 1, 1], [14, 2, 10], [14, 3, 1], [15, 0, 1], [15, 1, 1], [15, 2, 10], [15, 3, 1], [16, 0, 1], [16, 1, 1], [16, 2, 10], [16, 3, 1], [17, 0, 1], [17, 1, 1], [17, 2, 10], [17, 3, 1], [18, 0, 1], [18, 1, 1], [18, 2, 10], [18, 3, 1], [19, 0, 1], [19, 1, 1], [19, 2, 10], [19, 3, 1], [20, 0, 1], [20, 1, 1], [20, 2, 10], [20, 3, 1], [21, 0, 1], [21, 1, 1], [21, 2, 10], [21, 3, 1], [22, 0, 1], [22, 1, 1], [22, 2, 10], [22, 3, 1], [23, 0, 1], [23, 1, 1], [23, 2, 10], [23, 3, 1]]}

fig = go.Figure(data=go.Heatmap(x=[x[0] for x in maps['map1_ID']],
                                y=[x[1] for x in maps['map1_ID']],
                                z=[x[2] for x in maps['map1_ID']],
                                text=[x[2] for x in maps['map1_ID']],
                                texttemplate="%{text}",
                                textfont={"size":20},
                                hoverongaps = False,
                                colorscale=['lime','red','red']
                                )
                )

fig.update_layout(height=300,
                  width=1000)

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matplotlib 在python中绘制来自dict的2D网格数据

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