Data Viz for training data after making the split

[arora123]

We should explore data after making a train-test split to avoid data leakage. How can I supply a data frame (training data only) to df.Autoviz() function? I tried supplying dataframe and leaving filename as an empty string but it's not giving me charts.

My Code:

import pandas as pd
from sklearn.model_selection import train_test_split

df = pd.read_csv('https://raw.githubusercontent.com/arora123/Data/master/WA_Fn-UseC_-Telco-Customer-Churn.csv')

x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state =1)

!pip install autoviz
# To import AutoViz_Class from autoviz-AutoViz_Class

from autoviz.AutoViz_Class import AutoViz_Class 

#To initialize class
av = AutoViz_Class()

av.AutoViz('', sep=',', depVar='Churn', dfte=pd.DataFrame(x, y), 
           header=1, verbose=1, lowess=False, chart_format='svg',)

Output

Shape of your Data Set: (7043, 20) ############## C L A S S I F Y I N G V A R I A B L E S #################### Classifying variables in data set... Not able to read or load file. Please check your inputs and try again...

[AutoViML]

@arora123 : Here is how I would modify your code to run AutoViz. I have tested and it works on my notebook. So please confirm:

`import pandas as pd from sklearn.model_selection import train_test_split

df = pd.read_csv('https://raw.githubusercontent.com/arora123/Data/master/WA_Fn-UseC_-Telco-Customer-Churn.csv')

train, test = train_test_split(df, test_size=0.2, random_state =1) df.shape

!pip install autoviz

To import AutoViz_Class from autoviz-AutoViz_Class

from autoviz.AutoViz_Class import AutoViz_Class

To initialize class

av = AutoViz_Class()

av.AutoViz('', sep=',', depVar='Churn', dfte=train, header=1, verbose=1, lowess=False, chart_format='svg',) `