In [11]:

    

import pandas as pd 
import matplotlib.pyplot as plt
%matplotlib inline
import plotly.offline as py
py.init_notebook_mode(connected=True)
import plotly.graph_objs as go
import plotly.tools as tls
import warnings
warnings.filterwarnings('ignore')


    

In [13]:

    

global1=pd.read_csv('data/GlobalTemperatures.csv')
global1=global1[['dt','LandAverageTemperature']]
global1.dropna(inplace=True)
global1['dt']=pd.to_datetime(global1.dt).dt.strftime('%d/%m/%Y')
global1['dt']=global1['dt'].apply(lambda x:x[6:])
global1=global1.groupby(['dt'])['LandAverageTemperature'].mean().reset_index()
trace=go.Scatter(
    x=global1['dt'],
    y=global1['LandAverageTemperature'],
    mode='lines',
    )
data=[trace]

py.iplot(data, filename='line-mode')


    

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