在 matplotlib.axes.Axes.table 中设置 alpha？

Question

我正在尝试了解如何在 matplotlib table 中设置 alpha 级别。我尝试使用全局 rcParams 设置它，但不太确定该怎么做？（我想更改 header 颜色的透明度）。一般来说，我不确定这是否可以全局完成，如果不能，我如何将参数传递给 table？提前致谢。

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from cycler import cycler
import six

# Set universal font and transparency
plt.rcParams["font.family"] = "DejaVu Sans"
plt.rcParams['axes.prop_cycle'] = cycler(alpha=[0.5])

raw_data = dict(Simulation=[42, 39, 86, 15, 23, 57],
                SP500=[52, 41, 79, 80, 34, 47],
                NASDAQ=[62, 37, 84, 51, 67, 32],
                Benchmark=[72, 43, 36, 26, 53, 88])

df = pd.DataFrame(raw_data, index=pd.Index(
    ['Sharpe Ratio', 'Sortino Ratio', 'Calmars Ratio', 'VaR', 'CVaR', 'Max DD'], name='Metric'),
                  columns=pd.Index(['Simulation', 'SP500', 'NASDAQ', 'Benchmark'], name='Series'))


def create_table(data, col_width=None, row_height=None, font_size=None,
                 header_color='#000080', row_colors=None, edge_color='w',
                 header_columns=0, ax=None, bbox=None):
    if row_colors is None:
        row_colors = ['#D8D8D8', 'w']
    if bbox is None:
        bbox = [0, 0, 1, 1]
    if ax is None:
        size = (np.array(data.shape[::-1]) + np.array([0, 1])) * np.array([col_width, row_height])
        fig, ax = plt.subplots(figsize=size)
        ax.axis('off')

    ax.axis([0, 1, data.shape[0], -1])

    data_table = ax.table(cellText=data.values, colLabels=data.columns, rowLabels=data.index,
                          bbox=bbox, cellLoc='center', rowLoc='left', colLoc='center',
                          colWidths=([col_width] * len(data.columns)))
    cell_map = data_table.get_celld()
    for i in range(0, len(data.columns)):
        cell_map[(0, i)].set_height(row_height * 0.20)

    data_table.auto_set_font_size(False)
    data_table.set_fontsize(font_size)

    for k, cell in six.iteritems(data_table._cells):
        cell.set_edgecolor(edge_color)
        if k[0] == 0 or k[1] < header_columns:
            cell.set_text_props(weight='bold', color='w')
            cell.set_facecolor(header_color)
        else:
            cell.set_facecolor(row_colors[k[0] % len(row_colors)])

    return ax


ax = create_table(df, col_width=1.5, row_height=0.5, font_size=8)

ax.set_title("Risk Measures", fontweight='bold')

ax.axis('off')

plt.tight_layout()

plt.savefig('risk_parameter_table[1].pdf')

plt.show()

Answer 1

您可以在 table 的 _cells 上手动 set_alpha()。

如果您只想更改 headers，请检查 row == 0 或 col == -1:

def create_table(...):
    ...

    for (row, col), cell in data_table._cells.items():
        if (row == 0) or (col == -1):
            cell.set_alpha(0.5)

    return ax

在 matplotlib.axes.Axes.table 中设置 alpha？

Setting alpha in matplotlib.axes.Axes.table?

matplotlib

alpha