text_plain_output_4.png application_vnd.jupyter.stderr_output_3.png text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png
import pandas as pd

act_train = pd.read_csv('../input/act_train.csv')
act_test = pd.read_csv('../input/act_test.csv')

act_train_char_10 = act_train[act_train['char_10'].notnull().values]
act_test_char_10 = act_test[act_test['char_10'].notnull().values]
drop_list = ['char_1', 'char_2', 'char_3', 'char_4', 'char_5', 'char_6', 'char_7', 'char_8', 'char_9']
act_train_char_10.drop(drop_list, axis=1, inplace=True)
act_test_char_10.drop(drop_list, axis=1, inplace=True)
act_train_char_X = act_train[act_train['char_10'].isnull().values]
act_test_char_X = act_test[act_test['char_10'].isnull().values]
drop_list = ['char_10']
act_train_char_X.drop(drop_list, axis=1, inplace=True)
act_test_char_X.drop(drop_list, axis=1, inplace=True)