[英]Plotting data from dictionary with dates using Matplotlib
我正在尝试绘制存储在字典中的一组非常简单的数据。 键是日期,当值是..值时。 但是,x轴是正常的一组值,而不是日期。 它们是按顺序绘制的,没有按时间顺序保存在字典中.x轴上也没有实际比例尺,因此它不会在没有数据的日期上绘制空白空间。
在附加的代码中,真正的字典只有一小部分,但这足以显示问题:
from matplotlib import pyplot as plt
dictionary = {'2015-11-15': 318, '2015-11-16': 3, '2015-11-18': 147, '2015-11-20': 38,
'2015-11-22': 128,'2015-11-23': 37, '2015-11-24': 5, '2015-11-25': 3, '2015-11-26': 323,
'2015-11-27': 478,'2015-11-28': 49, '2015-11-29': 9,'2015-12-11': 172, '2015-12-13': 219,
'2015-12-16': 1,'2015-12-17': 10, '2015-12-18': 25, '2015-12-19': 3, '2015-12-2': 147,
'2015-12-21': 133}
x = list(dictionary.keys())
y = list(dictionary.values())
plt.plot_date(x,y, xdate=True)
plt.xticks(x, rotation='vertical')
plt.show()
知道如何编辑代码以正确的方式显示图吗? 我是否必须对字典进行排序以按时间顺序绘制日期,还是将其自动放置在正确的位置?
可能的解决方案?
好的,因此寻找可能的解决方案,我决定将数据从字符串DD-MM-YYYY格式格式化为元组(YYYY,MM,DD)。 然后,我将此信息转发给字典,并使用*作为datetime.date的参数将其解压缩。 其余部分与带有链接的示例一样。
我程序的完整代码:
来自new.txt的一小部分数据(原始数据超过12MB):
=A=
=A=
XDD
29September201821:54
=F=
nice,urodzinymateriinieozywionej
29September201821:54
=A=
urodzinygaleriijurajskiejsaxd
29September201821:53
=A=
jakasgwiazdeczka
29September201821:53
=F=
czytakosamaona
29September201821:53
=F=
tenkocertjakoczescewentujakiegoswiekszego
29September201821:53
=F=
nieznaju
29September201821:52
=A=
koncertsylwiigrzeszczakbylxdnawetfajniegraja
29September201821:48
=A=
29September201821:48
=A=
XDD
29September201816:03
=F=
ladnie
29September201816:03
=F=
wbrystolu
29September201816:03
=F=
niewiemgdziejestem,brawo
29September201816:03
=F=
xD
29September201816:03
=F=
nawetnie
29September201816:03
=F=
anie
29September201816:03
=A=
OMGZUZKAsentaphoto.
29September201816:02
=F=
jawbathjestemzjarkiem
29September201816:02
=A=
Niebomalebylyxd
29September201816:02
=F=
cosznalazlaswtychjaskiniach?
29September201816:02
=A=
RondowolsztyniexD
29September201816:02
=A=
OMGZUZKAsentaphoto.
29September201816:02
=F=
29September201816:01
=A=
29September201816:01
=A=
Oh
29September201816:01
=F=
amniegorszeodrzucaja
29September201816:01
=F=
nie,boinnesazawszegorszenizzuzka
29September201816:01
=A=
Tytakmawiasz?XD
29September201816:00
=F=
kok
29September201815:51
=F=
xd
29September201815:51
要在文件上工作的完整代码:
import re
from matplotlib import pyplot as plt
import datetime
def month(date):
if "January" in date:
return 1
elif "February" in date:
return 2
elif "March" in date:
return 3
elif "April" in date:
return 4
elif "May" in date:
return 5
elif "June" in date:
return 6
elif "July" in date:
return 7
elif "August" in date:
return 8
elif "September" in date:
return 9
elif "October" in date:
return 10
elif "November" in date:
return 11
elif "December" in date:
return 12
else:
pass
messages = open("new.txt","r").read()
dates = []
date_2digits = re.finditer('^[0-9][0-9][A-Z][a-z]*[0-9]{6}[:][0-9]{2}', messages, flags=re.MULTILINE)
date_1digit = re.finditer('^[0-9][A-Z][a-z]*[0-9]{6}[:][0-9]{2}', messages, flags=re.MULTILINE)
for _ in date_2digits:
txt = str(_.group(0))
dates.append((int(txt[-9:-5]),month(txt),int(txt[0:2])))
for _ in date_1digit:
txt = str(_.group(0))
dates.append((int(txt[-9:-5]), int(month(txt)), int(txt[0:1])))
dates_dict = {}
for entry in dates:
date = datetime.date(*entry)
if date not in dates_dict.keys():
dates_dict[date]=int(1)
elif date in dates_dict.keys():
add = dates_dict[date] + 1
dates_dict.update({date:add})
x = list(dates_dict.keys())
y = list(dates_dict.values())
#plt.plot_date(x,y,'.')
plt.bar(x,y)
plt.xticks(x, rotation='vertical')
plt.show()
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