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python 折线图x时间_在Python Bokeh折线图中设置日期/时间轴上的比例

發(fā)布時(shí)間:2025/3/20 python 22 豆豆
生活随笔 收集整理的這篇文章主要介紹了 python 折线图x时间_在Python Bokeh折线图中设置日期/时间轴上的比例 小編覺得挺不錯(cuò)的,現(xiàn)在分享給大家,幫大家做個(gè)參考.

好的,我做了一些測(cè)試,bokeh似乎很好地根據(jù)需要自動(dòng)調(diào)整刻度。請(qǐng)看下面我的測(cè)試結(jié)果:# Test case 1:

# Multiple years, one measure per year

d1 = datetime(2012, 3, 5, 17, 53, 20)

d2 = datetime(2013, 8, 28, 13, 45, 48)

d3 = datetime(2014, 1, 29, 4, 58, 3)

d4 = datetime(2015, 11, 2, 15, 44, 9)

d5 = datetime(2016, 12, 7, 19, 53, 43)

d6 = datetime(2017, 7, 14, 16, 20, 32)

x_axis = [d1,d2,d3,d4,d5,d6]

y_axis = [23,12,58,43,5,33]

plot.line(x_axis, y_axis, line_color="red", line_width=2)# Test case 3:

# One year, multiple measures

d1 = datetime(2017, 1, 5, 17, 53, 20)

d2 = datetime(2017, 1, 17, 13, 34, 5)

d3 = datetime(2017, 2, 1, 19, 59, 43)

d4 = datetime(2017, 2, 28, 13, 45, 48)

d5 = datetime(2017, 3, 1, 13, 34, 5)

d6 = datetime(2017, 4, 17, 19, 59, 43)

d7 = datetime(2017, 5, 19, 15, 56, 0)

d8 = datetime(2017, 5, 29, 4, 58, 3)

d9 = datetime(2017, 6, 2, 2, 14, 2)

d10 = datetime(2017, 7, 2, 15, 44, 9)

d11 = datetime(2017, 8, 14, 2, 3, 5)

d12 = datetime(2017, 9, 7, 19, 53, 43)

d13 = datetime(2017, 10, 18, 19, 53, 43)

d14 = datetime(2017, 11, 8, 19, 53, 43)

d15 = datetime(2017, 12, 8, 19, 53, 43)

d16 = datetime(2017, 12, 14, 16, 20, 32)

x_axis = [d1,d2,d3,d4,d5,d6,d7,d8,d9,d10,d11,d12,d13,d14,d15,d16]

y_axis = [23,12,58,43,5,33,20,18,24,19,31,28,29,14,7,13]

plot.line(x_axis, y_axis, line_color="red", line_width=2)# Test case 4:

# One day, multiple measures

d1 = datetime(2017, 1, 14, 1, 53, 20)

d2 = datetime(2017, 1, 14, 3, 34, 5)

d3 = datetime(2017, 1, 14, 3, 59, 43)

d4 = datetime(2017, 1, 14, 7, 45, 48)

d5 = datetime(2017, 1, 14, 9, 34, 5)

d6 = datetime(2017, 1, 14, 13, 59, 43)

d7 = datetime(2017, 1, 14, 14, 56, 0)

d8 = datetime(2017, 1, 14, 14, 58, 3)

d9 = datetime(2017, 1, 14, 17, 14, 2)

d10 = datetime(2017, 1, 14, 18, 44, 9)

d11 = datetime(2017, 1, 14, 19, 3, 5)

d12 = datetime(2017, 1, 14, 19, 53, 43)

d13 = datetime(2017, 1, 14, 20, 53, 43)

d14 = datetime(2017, 1, 14, 21, 53, 43)

d15 = datetime(2017, 1, 14, 22, 53, 43)

d16 = datetime(2017, 1, 14, 23, 20, 32)

x_axis = [d1,d2,d3,d4,d5,d6,d7,d8,d9,d10,d11,d12,d13,d14,d15,d16]

y_axis = [23,12,58,43,5,33,20,18,24,19,31,28,29,14,7,13]

plot.line(x_axis, y_axis, line_color="red", line_width=2)

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