Python 在MatplotLib Barplot中创建随打印大小缩放的文本

我正在为GTD数据集制作一个动画条形图比赛。问题是不同组的名称对于条形图来说太长。是否有方法根据条形图的值缩放每个条形图标签？我的意思是使短条的标签变小，而长条的标签则具有一定的最大尺寸

以下是我正在使用的代码：

fig, ax = plt.subplots(figsize=(15, 8))
    """Takes the dataframe till the given year, groups by group and sums up the number of casulties. Sorts the values and returns the highest 10"""
    top10 = df2[df2['iyear'] <= year].groupby(['gname'], as_index=False)[['wound_killed', 'country_txt']].sum().sort_values('wound_killed', ascending=False).head(10)
    top10 = top10[::-1]  #Flip Dataframe
    ax.barh(top10['gname'], top10['wound_killed'])  #Create horizontal bar plot


    dx = top10['wound_killed'].max() / 200     #Get the value of the end of each graph
    for i, (value, name) in enumerate(zip(top10['wound_killed'], top10['gname'])):
        ax.text(value-dx, i,     name,           size=14, weight=600, ha='right', va='bottom')   #Label the name of the group
        ax.text(value+dx, i,     f'{value:,.0f}',  size=14, ha='left',  va='center')  #Number of casulties
    # ... polished styles
    ax.text(1, 0.4, year, transform=ax.transAxes, color='#777777', size=46, ha='right', weight=800)    #Write the year
    ax.text(0, 1.06, 'Number of Casulties', transform=ax.transAxes, size=12, color='#777777')     #Number of casulties on top
    ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))    #Updating the xaxis when it scales
    ax.xaxis.set_ticks_position('top')   #XTicks on top rather than bottom
    ax.tick_params(axis='x', colors='#777777', labelsize=12)
    ax.set_yticks([])
    ax.margins(0, 0.01)
    ax.grid(which='major', axis='x', linestyle='-')
    ax.set_axisbelow(True)
    ax.text(0, 1.12, 'The devastating Terror Groups from 1970 to 2018',   #Titel
            transform=ax.transAxes, size=24, weight=600, ha='left')

    plt.box(False)   #No box because labels are too big

fig，ax=plt.子批次（figsize=（15,8））
“”“将数据帧保留到给定的年份，按组分组，并对偶然事件数求和。对值进行排序并返回最高的10”“”
top10=df2[df2['iyear']找到了一种方法。将结束问题。发布答案，以防其他人也感到疑惑

#fig, ax = plt.subplots(figsize=(15, 8))
year = 1970
def top_10_year(year):
    fig, ax = plt.subplots(figsize=(28, 10))
    """Takes the dataframe till the given year, groups by group and sums up the number of casulties. Sorts the values and returns the highest 10"""
    top10 = df2[df2['iyear'] <= year].groupby(['gname'], as_index=False)[['wound_killed', 'country_txt']].sum().sort_values('wound_killed', ascending=False).head(10)
    top10 = top10[::-1]  #Flip Dataframe
    ax.barh(top10['gname'], top10['wound_killed'])  #Create horizontal bar plot


    dx = top10['wound_killed'].max() / 200     #Get the value of the end of each graph

    for i, (value, name) in enumerate(zip(top10['wound_killed'], top10['gname'])):
        if '(' in name:
            name = name[name.find("(")+1:name.find(")")] 
        if value / top10['wound_killed'].max() < 0.1:
            ax.text(value-dx, i,     name,           size=8, weight=600, ha='right', va='bottom')   #Label the name of the group
        elif value / top10['wound_killed'].max() < 0.2:
            ax.text(value-dx, i,     name,           size=10, weight=600, ha='right', va='bottom')   #Label the name of the group
        elif value / top10['wound_killed'].max() < 0.3:
            ax.text(value-dx, i,     name,           size=12, weight=600, ha='right', va='bottom')   #Label the name of the group
        elif value / top10['wound_killed'].max() < 0.4:
            ax.text(value-dx, i,     name,           size=14, weight=600, ha='right', va='bottom')   #Label the name of the group
        else:
            ax.text(value-dx, i,     name,           size=16, weight=600, ha='right', va='bottom')   #Label the name of the group
        ax.text(value+dx, i,     f'{value:,.0f}',  size=16, ha='left',  va='center')  #Number of casulties
    # ... polished styles
    ax.text(1, 0.4, year, transform=ax.transAxes, color='#777777', size=46, ha='right', weight=800)    #Write the year
    ax.text(0, 1.06, 'Number of Casulties', transform=ax.transAxes, size=12, color='#777777')     #Number of casulties on top
    ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))    #Updating the xaxis when it scales
    ax.xaxis.set_ticks_position('top')   #XTicks on top rather than bottom
    ax.tick_params(axis='x', colors='#777777', labelsize=12)
    ax.set_yticks([])
    ax.margins(0, 0.01)
    ax.grid(which='major', axis='x', linestyle='-')
    ax.set_axisbelow(True)
    ax.text(0, 1.12, 'The devastating Terror Groups from 1970 to 2018',   #Titel
            transform=ax.transAxes, size=24, weight=600, ha='left')

    plt.box(False)   #No box because labels are too big
    num_im = str(year - 1969)
    save = '../plots/manual_animation/' + num_im + '.jpg'
    plt.savefig(save)

top_10_year(1970) #Test for one year

#图，ax=plt.子图（图大小=（15,8））
年份=1970年
def前10年（年）：
图，ax=plt.子批次（图尺寸=（28,10））
“”“将数据帧保留到给定的年份，按组分组，并对偶然事件数求和。对值进行排序并返回最高的10”“”
top10=df2[df2['iyear']0.5和len（名称）>=40：
ax.text（值dx，i，name，size=14，weight=600，ha='right'，va='bottom'）#标记组的名称
ax.text（value+dx，i，f'{value:，.0f}'，size=16，ha='left'，va='center'）#散件数量
elif值/top10[“受伤/死亡”].max（）
year = 1970
jtplot.style(theme='chesterish')
def top_10_year2(year):
    fig, ax = plt.subplots(figsize=(28, 10))
    """Takes the dataframe till the given year, groups by group and sums up the number of casulties. Sorts the values and returns the highest 10"""
    top10 = df2[df2['iyear'] <= year].groupby(['gname'], as_index=False)[['wound_killed', 'country_txt']].sum().sort_values('wound_killed', ascending=False).head(10)
    top10 = top10[::-1]  #Flip Dataframe
    ax.barh(top10['gname'], top10['wound_killed'])  #Create horizontal bar plot


    dx = top10['wound_killed'].max() / 200     #Get the value of the end of each graph

    for i, (value, name) in enumerate(zip(top10['wound_killed'], top10['gname'])):
        if '(' in name:
            name = name[name.find("(")+1:name.find(")")] 
        if value / top10['wound_killed'].max() > 0.5 and len(name) < 40:
            ax.text(value-dx, i,     name,           size=16, weight=600, ha='right', va='bottom')   #Label the name of the group
            ax.text(value+dx, i,     f'{value:,.0f}',  size=16, ha='left',  va='center')  #Number of casulties
        elif value / top10['wound_killed'].max() > 0.5 and len(name) >= 40:
            ax.text(value-dx, i,     name,           size=14, weight=600, ha='right', va='bottom')   #Label the name of the group
            ax.text(value+dx, i,     f'{value:,.0f}',  size=16, ha='left',  va='center')  #Number of casulties
        elif value / top10['wound_killed'].max() <= 0.5 and len(name) < 40:
            ax.text(value+dx, i,     name,           size=16, weight=600, ha='left', va='bottom')   #Label the name of the group
            ax.text(value-dx, i,     f'{value:,.0f}',  size=16, ha='right',  va='center')  #Number of casulties
        elif value / top10['wound_killed'].max() <= 0.5 and len(name) >= 40:
            if value / top10['wound_killed'].max() < 0.3:
                ax.text(value+dx, i,     name,           size=16, weight=600, ha='left', va='bottom')   #Label the name of the group
            else:
                ax.text(value+dx, i,     name,           size=14, weight=600, ha='left', va='bottom')   #Label the name of the group
            ax.text(value-dx, i,     f'{value:,.0f}',  size=16, ha='right',  va='center')  #Number of casulties
        else:
            ax.text(value-dx, i,     name,           size=4, weight=600, ha='right', va='bottom')   #Label the name of the group
            ax.text(value-dx, i,     f'{value:,.0f}',  size=16, ha='right',  va='center')  #Number of casulties


    # ... polished styles
    ax.text(1, 0.4, year, transform=ax.transAxes, color='#777777', size=46, ha='right', weight=800)    #Write the year
    ax.text(0, 1.06, 'Number of Casulties', transform=ax.transAxes, size=18, color='#777777')     #Number of casulties on top
    ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))    #Updating the xaxis when it scales
    ax.xaxis.set_ticks_position('top')   #XTicks on top rather than bottom
    ax.tick_params(axis='x', colors='#777777', labelsize=16)
    ax.set_yticks([])
    ax.margins(0, 0.01)
    ax.grid(which='major', axis='x', linestyle='-')
    ax.set_axisbelow(True)
    ax.text(0, 1.12, 'The devastating Terror Groups from 1970 to 2018',   #Titel
            transform=ax.transAxes, size=24, weight=600, ha='left')

    plt.box(False)   #No box because labels are too big
    num_im = str(year - 1969)
    save = '../plots/label_left/' + num_im + '.jpg'
    plt.savefig(save)

top_10_year2(1985) #Test for one year