CODEWITHSUNDEEP
pythonpandasbokeh
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Reputation: 911

Bokeh line plot is merging data on graph

Trying to plot the global surface temperature anomaly using bokeh but the line graph is jagged and merges data.

Code: 

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)

The line plot comes out jagged and messy like this and the latest month (March) is merged into the previous month (February). Is there a way of plotting this neater so months plot separately? I've tried extending the plot area but this doesn't fix the issue

Upvotes: 0

Views: 523

Answers (1)

HYRY
HYRY

Reputation: 97331

You need to convert the Year and Month columns into a DateTime column:

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

To plot with datetime axis:

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)'

Here is the result:

enter image description here

Upvotes: 3

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