v1.3.1

Patch setup.py to include package data in installation.

v1.3.0

Make the default noise background generation follow chi-squared distribution, appropriate for radiometer noise. Noise is calculated using data frame resolutions, and scaled up using a mean value. This change affects frame.add_noise() and frame.add_noise_from_obs(). Using a normal distribution instead for noise is still possible, using the noise_type argument, but for most (high spectral resolution) cases, using chi-squared noise is the best option.

v1.2.8

• Use linspace instead of arange for better precision
• Fix get_frequency method to support signals that go out of frame in add_constant_intensity

v1.2.7

Make sure dependencies are up to date -> blimpy 2.0.0

v1.2.6

Rearrange encode/decode bytestrings to better support notebook work

v1.2.5

Updating bytestrings to normal strings in accordance to blimpy 2.0.0 updates.

v1.2.4

Replace read_header() references to support blimpy's removal in version 2.0.0.

v1.2.3

Add class method Frame.from_data() to initialize frame objects from existing 2d data arrays.

v1.2.2

Edit Waterfall metadata specific to your Frame manipulations, important for interfacing with turbo_seti. Remove extraneous set methods from Frame.

v1.2.1

Update header metadata when creating a Waterfall object from purely synthetic data. This is important for interfacing with other BL codes such as turbo_seti.