Package: netdata-pandas
netdata-pandasA helper library to pull data from netdata api into a pandas dataframe.Installpip install netdata-pandasDocumentationMore detailed documentation can be found athttps://netdata.github.io/netdata-pandasQuickstartGet some data into a pandas dataframe.fromnetdata_pandas.dataimportget_datadf=get_data('london.my-netdata.io',['system.cpu','system.load'],after=-60,before=0)print(df.shape)print(df.head())(60, 12)
            system.cpu|guest  system.cpu|guest_nice  system.cpu|iowait  \
time_idx                                                                 
1604928205               0.0                    0.0                0.0   
1604928206               0.0                    0.0                0.0   
1604928207               0.0                    0.0                0.0   
1604928208               0.0                    0.0                0.0   
1604928209               0.0                    0.0                0.0   

            system.cpu|irq  system.cpu|nice  system.cpu|softirq  \
time_idx                                                          
1604928205             0.0              0.0                 0.0   
1604928206             0.0              0.0                 0.0   
1604928207             0.0              0.0                 0.0   
1604928208             0.0              0.0                 0.0   
1604928209             0.0              0.0                 0.0   

            system.cpu|steal  system.cpu|system  system.cpu|user  \
time_idx                                                           
1604928205          0.000000           0.501253         0.501253   
1604928206          0.000000           0.753769         0.502513   
1604928207          0.000000           0.505050         0.505050   
1604928208          0.000000           0.751880         0.501253   
1604928209          0.251256           0.251256         0.502513   

            system.load|load1  system.load|load15  system.load|load5  
time_idx                                                              
1604928205               0.03                 0.0               0.04  
1604928206               0.03                 0.0               0.04  
1604928207               0.03                 0.0               0.04  
1604928208               0.03                 0.0               0.04  
1604928209               0.03                 0.0               0.04An alternative way to callget_data()is to define what hosts and charts you want via thehost_charts_dictparam:# define list of charts for each host you want data forhost_charts_dict={"london.my-netdata.io":['system.io','system.ip'],"newyork.my-netdata.io":['system.io','system.net'],}df=get_data(host_charts_dict=host_charts_dict,host_prefix=True)print(df.shape)print(df.head())(61, 8)
            london.my-netdata.io::system.io|in  \
time_idx                                         
1604928340                                 NaN   
1604928341                                 0.0   
1604928342                                 0.0   
1604928343                                 0.0   
1604928344                                 0.0   

            london.my-netdata.io::system.io|out  \
time_idx                                          
1604928340                                  NaN   
1604928341                            -53.89722   
1604928342                            -26.10278   
1604928343                              0.00000   
1604928344                              0.00000   

            london.my-netdata.io::system.ip|received  \
time_idx                                               
1604928340                                       NaN   
1604928341                                  49.25227   
1604928342                                 227.22840   
1604928343                                 123.56787   
1604928344                                  31.99060   

            london.my-netdata.io::system.ip|sent  \
time_idx                                           
1604928340                                   NaN   
1604928341                             -51.85469   
1604928342                             -85.22854   
1604928343                             -43.00154   
1604928344                             -19.55536   

            newyork.my-netdata.io::system.io|in  \
time_idx                                          
1604928340                                  0.0   
1604928341                                  0.0   
1604928342                                  0.0   
1604928343                                  0.0   
1604928344                                  0.0   

            newyork.my-netdata.io::system.io|out  \
time_idx                                           
1604928340                              0.000000   
1604928341                             -6.545929   
1604928342                             -9.454071   
1604928343                              0.000000   
1604928344                              0.000000   

            newyork.my-netdata.io::system.net|received  \
time_idx                                                 
1604928340                                   13.778033   
1604928341                                   18.281470   
1604928342                                   24.811770   
1604928343                                   26.406000   
1604928344                                   26.457510   

            newyork.my-netdata.io::system.net|sent  
time_idx                                            
1604928340                               -16.97193  
1604928341                               -19.23857  
1604928342                               -76.86994  
1604928343                              -165.55492  
1604928344                              -115.83034ExamplesYou can find some more examples in theexamplesfolder.Or if you just want to play with it right now you can usethis Google Colab notebookto quickly get started.