pandas-profiling NTSA Nonlinear Time Series Analysis - Focal Results



In [1]:

    
!pip install pandas-profiling









    



Requirement already satisfied: pandas-profiling in /Users/monkee/anaconda3/lib/python3.6/site-packages
Requirement already satisfied: pandas>=0.19 in /Users/monkee/anaconda3/lib/python3.6/site-packages (from pandas-profiling)
Requirement already satisfied: matplotlib>=1.4 in /Users/monkee/anaconda3/lib/python3.6/site-packages (from pandas-profiling)
Requirement already satisfied: six>=1.9 in /Users/monkee/anaconda3/lib/python3.6/site-packages (from pandas-profiling)
Requirement already satisfied: jinja2>=2.8 in /Users/monkee/anaconda3/lib/python3.6/site-packages (from pandas-profiling)
Requirement already satisfied: python-dateutil>=2 in /Users/monkee/anaconda3/lib/python3.6/site-packages (from pandas>=0.19->pandas-profiling)
Requirement already satisfied: pytz>=2011k in /Users/monkee/anaconda3/lib/python3.6/site-packages (from pandas>=0.19->pandas-profiling)
Requirement already satisfied: numpy>=1.7.0 in /Users/monkee/anaconda3/lib/python3.6/site-packages (from pandas>=0.19->pandas-profiling)
Requirement already satisfied: cycler>=0.10 in /Users/monkee/anaconda3/lib/python3.6/site-packages (from matplotlib>=1.4->pandas-profiling)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=1.5.6 in /Users/monkee/anaconda3/lib/python3.6/site-packages (from matplotlib>=1.4->pandas-profiling)
Requirement already satisfied: MarkupSafe>=0.23 in /Users/monkee/anaconda3/lib/python3.6/site-packages (from jinja2>=2.8->pandas-profiling)

Import libraries



In [2]:

    
from IPython.core.debugger import set_trace
import pandas as pd
import pandas_profiling

Load and prepare dataset



In [3]:

    
df = pd.read_csv("Results_F_All.csv", encoding='UTF-8')

Inline report without saving object



In [ ]:

    
pandas_profiling.ProfileReport(df)









    



--Call--
> /Users/monkee/anaconda3/lib/python3.6/site-packages/IPython/core/displayhook.py(247)__call__()
    245         sys.stdout.flush()
    246 
--> 247     def __call__(self, result=None):
    248         """Printing with history cache management.
    249

Save report to file



In [ ]:

    
pfr = pandas_profiling.ProfileReport(df)
pfr.to_file("ntsa-results-focal-profile.html")



In [ ]:

    
#### Print existing ProfileReport object inline
pfr