Python Bokeh线图正在合并图形上的数据

试图用bokeh绘制全球地表温度异常图，但线图参差不齐并合并了数据

代码：

import pandas as pd
from bokeh.plotting import figure, output_file, show

data = pd.read_csv("http://data.giss.nasa.gov/gistemp/tabledata_v3/GLB.Ts+dSST.csv", na_values = ["**** ","***  "])


#select the necessary columns
df = data.ix[:,1:13] #with Year Column

#convert to degrees C 
df = df.divide(100)

#add a year column
df['Year'] = data[' Year']

df2 = df.set_index('Year').stack().reset_index()

df2.columns = ['Year','Month','Value']

#plot using bokeh
from bokeh.io import output_file
from bokeh.models import Span

p = figure(plot_width = 800, plot_height=400, 
       title ='Monthly Mean Temperature Anomaly (1951-1980 baseline)',
       title_text_font_size='14pt') 

p.line(df2['Year'], df2['Value'])  

hline = Span(location=0, dimension='width', 
             line_color='red', 
             line_width=1) #red line at 0

p.renderers.extend([hline]) #add line to the plot
p.xaxis.axis_label = 'Year'
p.yaxis.axis_label = 'Temperature (Degrees C)'
output_file('myplot.html')      
show(p)

---

线条图呈锯齿状，杂乱无章，最近一个月（三月）与前一个月（二月）合并。有没有一种方法可以把这个整洁的东西分开画出来？我已尝试扩展绘图区域，但这无法解决问题

您需要将

年

和

月

列转换为

日期时间

列：

df2["Date"] = pd.to_datetime(df2.Year.astype(str) + "-" + df2.Month, format="%Y-%b")

要使用日期时间轴打印，请执行以下操作：

from bokeh.models import Span

p = figure(plot_width = 800, plot_height=400, 
       title ='Monthly Mean Temperature Anomaly (1951-1980 baseline)',
       title_text_font_size='14pt', x_axis_type="datetime") 

p.line(df2['Date'], df2['Value'])  

hline = Span(location=0, dimension='width', 
             line_color='red', 
             line_width=1) #red line at 0

p.renderers.extend([hline]) #add line to the plot
p.xaxis.axis_label = 'Year'
p.yaxis.axis_label = 'Temperature (Degrees C)'

结果如下：

---

您需要将

年

和

月

列转换为

日期时间

列：

df2["Date"] = pd.to_datetime(df2.Year.astype(str) + "-" + df2.Month, format="%Y-%b")

要使用日期时间轴打印，请执行以下操作：

from bokeh.models import Span

p = figure(plot_width = 800, plot_height=400, 
       title ='Monthly Mean Temperature Anomaly (1951-1980 baseline)',
       title_text_font_size='14pt', x_axis_type="datetime") 

p.line(df2['Date'], df2['Value'])  

hline = Span(location=0, dimension='width', 
             line_color='red', 
             line_width=1) #red line at 0

p.renderers.extend([hline]) #add line to the plot
p.xaxis.axis_label = 'Year'
p.yaxis.axis_label = 'Temperature (Degrees C)'

结果如下：