pandas
time split
test_df = df2[df2['arrival_date'] > datetime.datetime(2017,6,30)].reset_index()
train_df = df2[(df2['arrival_date'] > datetime.datetime(2016,5,30))&(df2['arrival_date'] < datetime.datetime(2016,8,30))].reset_index()
test_df = df2[df2['arrival_date'] > datetime.datetime(2017,6,30)].reset_index()
train_df = df2[(df2['arrival_date'] > datetime.datetime(2016,5,30))&(df2['arrival_date'] < datetime.datetime(2016,8,30))].reset_index()
#ゴミ箱の場所
find ~ -name "Trash"
#ゴミ箱の中身確認
ls -al ~/.local/share/Trash/files
#全部消す
sudo rm -rf ~/.local/share/Trash/files/*
sudo rm -rf ~/.local/share/Trash/info/*
[WIP]
This repository describe 'SimpleITK' which python module is inheritence by 3D voxel image processing module 'ITK'
[WIP]
def encode_categorical(df, cols): | |
for col in cols: | |
# Leave NaN as it is. | |
le = LabelEncoder() | |
not_null = df[col][df[col].notnull()] | |
df[col] = pd.Series(le.fit_transform(not_null), index=not_null.index) | |
return df |