我正在为GTD数据集制作动画的条形图竞赛。问题是不同组的名称对于条形图而言太长。有没有一种方法可以缩放与条形值相对应的每个条形标签？我的意思是使短条标签变小，使长条标签变大。
这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
答案 0 :(得分：-1)
找到了一种方法。要结束这个问题。张贴答案，以防万一其他人也想知道
#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
最后我实际上使用了另一种方法，根据标签的长度和条形图选择条形图的侧面。
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