I have the following function to load data in my jupyter notebook
#function to load datadef load_dataset(x_path, y_path): x = pd.read_csv(os.sep.join([DATA_DIR, x_path]), dtype=DTYPES, index_col="ID") y = pd.read_csv(os.sep.join([DATA_DIR, y_path])) return x, y
and the data has the below types defined
DTYPES = {'ID':'int64','columnA':'str','columnB':'float32','columnC':'float64','columnD':'datetime64[ns]'}
The header of the above csv is as below
ID columnA columnB columnC columnD941215 SALE 15000 56 10/1/2018
when I call the method in my notebook
from model import load_datasetX_train, y_train = load_dataset("X_train.zip", "y_train.zip")
I get the below error
2055 raise TypeError("data type '{}' not understood".format(dtype))2057 # Any invalid dtype (such as pd.Timestamp) should raise an error.TypeError: data type ' int64' not understood