我已经编写了下面的代码来可视化一个joyplot。尝试使用axes.set_xticks
更改x轴标签时,我得到AttributeError: 'list' object has no attribute 'set_xticks'
import joypy
import pandas as pd
from matplotlib import pyplot as plt
data = pd.DataFrame.from_records([['twitter', 1],
['twitter', 6],
['wikipedia', 1],
['wikipedia', 3],
['indymedia', 1],
['indymedia', 9]], columns=['platform','day'])
# Get number of days in the dataset
numdays = max(set(data['day'].tolist()))
# Generate date strings from a manually set start date
start_date = "2010-01-01"
dates = pd.date_range(start_date, periods=numdays)
dates = [str(date)[:-9] for date in dates]
fig, axes = joypy.joyplot(data,by="platform")
axes.set_xticks(range(numdays)); axes.set_xticklabels(dates)
plt.show()
预期输出应如下所示,但日期为dates
为ticklabels。
答案 0 :(得分:1)
由于joypy.joyplot(..)
返回figure
元组,axes
和axes
应为轴列表,您可能需要设置最后一个轴的标签,
axes[-1].set_xticks(range(numdays))
axes[-1].set_xticklabels(dates)
答案 1 :(得分:0)
要使用python matplotlib制作日期图,你应该使用plot_date函数。
fig,ax = plt.subplots()
ax.plot_date(日期,数据1,' - ')
我把完整的例子放在pastebin中,点击链接: https://pastebin.com/sVPUZaeM
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.dates import DateFormatter
from random import randrange, random
from datetime import datetime
#generate date list
start_date = np.datetime64('2010-01-01').astype(datetime)
numdays = 10
dates = pd.date_range(start_date, periods=numdays)
#Generate data example
data1 = [(random()+idx)**1.2 for idx in range(len(dates))]
data2 = [(random()+idx)**1.5 for idx in range(len(dates))]
#plot
fig, ax = plt.subplots()
ax.plot_date(dates, data1, '-')
ax.plot_date(dates, data2, '-')
#set the label for x and y and title
plt.title('Matplot lib dates wc example')
plt.xlabel('Dates')
plt.ylabel('Random values example')
#date format
ax.fmt_xdata = DateFormatter('%Y%m%d')
ax.grid(True)
fig.autofmt_xdate()
plt.show()
Python版测试成功:2.7.12
此代码生成:this follow plot