Load Weather Data from URL in CSV, construct this data in Pandas datarame, manipulate data and retrieve data in HTML format. Using Pandas and Bokeh plotting modules.

DataVisualizationWeather.py

import pandas

from bokeh.plotting import figure, output_file, show

df=pandas.read_excel("http://pythonhow.com/verlegenhuken.xlsx",sheetname=0)
df["Temperature"]=df["Temperature"]/10
df["Pressure"]=df["Pressure"]/10

p=figure(plot_width=500,plot_height=400)

#p.title="Temperature"
#p.title_text_color="Gray"
#p.title_text_font="arial"
#p.title_text_font_style="bold"
p.xaxis.minor_tick_line_color=None
p.yaxis.minor_tick_line_color=None
p.xaxis.axis_label="Temperature (°C)"
p.yaxis.axis_label="Pressure (hPa)"                  

p.circle(df["Temperature"],df["Pressure"],size=0.5)
output_file("Weather.html")
show(p)
print(df)