1D{1} datasets

In the following example, we illustrate how one can covert a Numpy array into a CSDM object. Start by importing the Numpy and csdmpy libraries.

import matplotlib.pyplot as plt
import numpy as np

import csdmpy as cp

Let’s generate a 1D NumPy array of as our dataset.

test_data = np.zeros(500)
test_data[250] = 1

Create a DependentVariable object from the numpy object

dv = cp.as_dependent_variable(test_data, unit="%")

Create the corresponding dimensions object. Here, we create a LinearDimension object

dim = cp.LinearDimension(count=500, increment="1 m")

Creating the CSDM object.

csdm_object = cp.CSDM(dependent_variables=[dv], dimensions=[dim])

Plot of the dataset.

plt.figure(figsize=(5, 3.5))
ax = plt.subplot(projection="csdm")
ax.plot(csdm_object)
plt.tight_layout()
plt.show()

To serialize the file, use the save method.

csdm_object.save("1D_1_dataset.csdf")