# Raw Data

## Python

```python
#file18 = "https://cires.s3-us-west-2.amazonaws.com/GU1002/18/149018.csv"
file18 = "https://cires.s3-us-west-2.amazonaws.com/SH1305/18/SaKe_2013-D20130622-T220228_to_SaKe_2013-D20130622-T224822.csv"
#file38 = "https://cires.s3-us-west-2.amazonaws.com/GU1002/38/149018.csv"
#file120 = "https://cires.s3-us-west-2.amazonaws.com/GU1002/120/149018.csv"
#file200 = "https://cires.s3-us-west-2.amazonaws.com/GU1002/200/149018.csv"
file18
```

## Raw CSV to Python Numpy N-Dimensional Array

```python
df18 = pd.read_csv(file18, header=1, na_values='NA', skiprows=0)
#df38 = pd.read_csv(file38, header=None, na_values='NA', skiprows=0)
#df120 = pd.read_csv(file120, header=None, na_values='NA', skiprows=0)
#df200 = pd.read_csv(file200, header=None, na_values='NA', skiprows=0)

print('type:', type(df18))
df18
```

```python
data18 = df18.iloc[:, 4:].to_numpy()
data38 = df38.iloc[:, 4:].to_numpy()
data120 = df120.iloc[:, 4:].to_numpy()
data200 = df200.iloc[:, 4:].to_numpy()

print(data18.shape)
print('type:', type(data18))
```

The next step is to convert the ek60 data to a numpy data array.

```python
```

The data are now available in a numpy ndarray format, the next step is to convert the data to a python xarray object.

## ???

```python
```