在表子图之间添加标题和空格

Question

我的脚本使用matplotlib.pyplot.subplots生成三个表。附图显示第一个表在顶部部分可见，其他表重叠。我还附上了一个工作代码片段。我需要在每个表的顶部添加一个标题，并在每个表的顶部创建一些空格。我怎么能做到这一点？任何帮助表示赞赏。

import pandas as pd
import numpy as np
import argparse
from pylab import *
import matplotlib.pyplot as plt
import datetime

def _draw_table1( axis):
    colLabels = ('', '')
    rowLabels = ('Start Date - End Date',
                 'Total Return since inception',
                 'Average Annual ROR',
                 'Winning / Losing Months',
                 'Winning Month Gain / Losing Month Loss',
                 'Sharpe Ratio',
                 'Risk of Ruin',
                 'Return to Drawdown (Calmar)',
                 '% Winning / Losing Days [Flat Days]')
    data = [['2015-01-01 - 2018-04-27'], ['12.50 %'], [' 3.09 %'], [' 1.35'], [' 2.01 / -1.99 %'], [' 0.34'], [' 0.96'], [' 0.25'], ['50.05 / 49.95 [ 0.00 ]']]
    axis.axis('off')
    axis.axis('tight')
    axis.get_frame_on()

    colorscell = [["#D0DDAF"],[ "#E6E9E9"],[ "#D0DDAF"],[ "#E6E9E9"],[ "#D0DDAF"],[ "#E6E9E9"],[ "#D0DDAF"],[ "#E6E9E9"],[ "#D0DDAF"]]
    colorsrow = ["#D0DDAF", "#E6E9E9", "#D0DDAF", "#E6E9E9", "#D0DDAF", "#E6E9E9", "#D0DDAF", "#E6E9E9", "#D0DDAF"]
    the_table = axis.table(cellText=data,
                             rowLabels=rowLabels,
                             colLabels=None,
                             loc='center right',
                             cellColours=colorscell,
                             rowColours=colorsrow,
                             bbox=[0.3, -0.2, 0.5, 1.5])

    table_props = the_table.properties()

def _draw_year_analysis( axis):
    rowLabels = ('Annual return',
                 'Best 21 days',
                 'Worst 21 days',
                 '1 year sharpe')

    data = [['-5.20 %', '15.83 %', ' 4.10 %' ,'-0.87 %'],
           [' 4.79 %', ' 9.12 %', ' 4.25 %', ' 1.70 %'], ['-4.89 %', '-6.87 %' ,'-4.80 %' ,'-2.01 %'], 
           [-0.49, 1.09, 0.45, -0.4]]

    colLabels = [2015, 2016, 2017, 2018]
    colorscell = [["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"],[ "#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"],[ "#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"],[ "#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"]]
    colorsrow = ["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"]
    colorscolumn = ["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"]
    axis.axis('off')

    the_table = axis.table(cellText=data,
                           rowLabels=rowLabels,
                           colLabels= colLabels,
                           cellColours= colorscell,
                           colColours= colorscolumn,
                           rowColours = colorsrow,
                           loc='left',
                           bbox=[0.0, -0.1, 1.0, 1.5])
    table_props = the_table.properties()
    table_cells = table_props['children']

def _draw_drawdowns_table(axis):

    data = [['-13.06 %', datetime.date(2015, 1, 7), datetime.date(2016, 2, 22), 351.0],
            ['-8.80 %', datetime.date(2016, 10, 13), datetime.date(2017, 8, 6), 254.0],
            ['-7.27 %', datetime.date(2017, 8, 30), datetime.date(2018, 4, 27), 205.0],
            ['-6.60 %', datetime.date(2016, 4, 8), datetime.date(2016, 6, 22), 65.0],
            ['-3.67 %', datetime.date(2016, 7, 6), datetime.date(2016, 8, 9), 30.0],
            ['-3.60 %' ,datetime.date(2016, 8, 16), datetime.date(2016, 9, 30), 40.0]]

    colLabels = ('Depth', 'Start', 'End', 'Length (days)')
    axis.axis('off')
    axis.axis('tight')

    colorscell=[]
    for i in range(len(data)):
        tmpList= []
        for x in range(4):
            tmpList.append("#D0DDAF")
        colorscell.append(tmpList)

    colorsrow = ["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"]
    colorscolumn = ["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"]
    the_table = axis.table(cellText=data,
                           colLabels=colLabels,
                           cellColours = colorscell,
                           loc='right',
                           bbox=[0.52, -0.2, 0.5, 1.5])


def _draw_day_analysis_table( axis):
    days = [1, 5, 21, 63, 126, 252]
    rowLabels = list(map(lambda x: str(x)+" days", days))
    colLabels = ['Best', 'Worst', 'Avg', 'Curr']

    data = [[' 6.38 %', '-2.65 %', ' 0.01 %', ' 1.22 %'], [' 8.36 %', '-4.25 %', ' 0.06 %',
            ' 0.53 %'], [' 9.12 %', '-6.87 %', ' 0.25 %', ' 0.97 %'], ['13.28 %', '-8.23 %'
            , ' 1.05 %', '-1.19 %'], ['17.53 %', '-8.50 %', ' 2.53 %', '-0.08 %'], 
            ['24.12 %', '-8.68 %', ' 6.58 %', ' 0.43 %']]

    axis.axis('off')
    axis.axis('tight')

    colorscell = [["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"],["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"],["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"],["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"],["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"],["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"]]
    colorsrow = ["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"]
    colorscolumn = ["#D0DDAF","#E6E9E9", "#D0DDAF","#E6E9E9"]

    the_table = axis.table(cellText=data,
                           rowLabels=rowLabels,
                           colLabels=colLabels,
                           cellColours = colorscell,
                           rowColours = colorsrow,
                           colColours = colorscolumn,
                           loc='center',
                           bbox=[0.0, -0.2, 0.5, 1.5])


def plot_returns():
    f, axarr = plt.subplots(3)
    print(type(axarr) )
    print((axarr[0]) )
    _draw_table1( axarr[0])
    _draw_year_analysis( axarr[1])
    _draw_day_analysis_table( axarr[2])
    _draw_drawdowns_table(axarr[2])

    #f.suptitle('test title', fontsize=20)
    plt.subplots_adjust(left=0.1, bottom=0.1,top=1.5)
    f.tight_layout()
    plt.show()


def main():

    plot_returns()


if __name__ == '__main__':
    main()