我有以下pandas数据框,其中包含一些事件和计数,我希望在图表中绘制和注释事件详细信息:
Date Time Time Zone Currency Event Importance Actual Forecast Previous Count Volume
DateTime
2014-04-09 00:30:00 Wed Apr 9 00:30 GMT aud AUD Westpac Consumer Confidence Medium 0.3% NaN -0.7% 198 7739
2014-04-09 00:30:00 Wed Apr 9 00:30 GMT aud AUD Westpac Consumer Conf Index Low 99.7 NaN 99.5 198 7279
2014-04-09 01:30:00 Wed Apr 9 01:30 GMT aud AUD Investment Lending Low 4.4% NaN -3.7% 172 21297
2014-04-09 01:30:00 Wed Apr 9 01:30 GMT aud AUD Home Loans Medium 2.3% 1.5% 0.0% 172 22197
2014-04-09 01:30:00 Wed Apr 9 01:30 GMT aud AUD Value of Loans (MoM) Low 1.9% NaN 1.6% 172 22197
我正在使用以下代码绘制数据帧(df):
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
temp=df[df['Count'].notnull()]
#temp=temp[temp['Importance']=="High"]
x = temp.index
y = temp.Count
z = temp.Event
g = temp.Importance
v = temp.Volume
fig, ax = plt.subplots(figsize=(15,8))
ax.plot_date(x, y, linestyle='--')
for i in range(len(x)):
if g[i]=="Medium":
ax.annotate(z[i]+' '+'Volume: '+str(v[i]), (mdates.date2num(x[i]), y[i]), xytext=(15, 15),
textcoords='offset points', arrowprops=dict(arrowstyle='-|>'))
fig.autofmt_xdate()
plt.show()
由于数据框包含duplicate - datetime - 索引,带注释的文本将以重叠的方式出现:
有没有更好的显示方法?
可能的解决方案: 我想通过随机化xytext值
来设法得到一个好的情节ax.annotate(z[i]+' '+'Volume: '+str(v[i]), (mdates.date2num(x[i]), y[i]), xytext=(5+randint(1,50), 5+randint(1,50)),
textcoords='offset points', arrowprops=dict(arrowstyle='-|>'), rotation=0)
答案 0 :(得分:1)
您似乎可以通过旋转注释文本来解决重叠注释。这可以通过添加' rotation = 90'
来完成ax.annotate(z[i]+' '+'Volume: '+str(v[i]), (mdates.date2num(x[i]), y[i]), xytext=(15, 15),
textcoords='offset points', arrowprops=dict(arrowstyle='-|>'), rotation=90)