Match data types of default values and calculated parameters (#1601)

ctapipe/containers.py

@@ -137,12 +137,12 @@ class LeakageContainer(Container):
  nan, "fraction of pixels after cleaning that are in camera border of width=2"
  )
  intensity_width_1 = Field(
- nan,
+ np.float32(nan),
  "Intensity in photo-electrons after cleaning"
  " that are in the camera border of width=1 pixel",
  )
  intensity_width_2 = Field(
- nan,
+ np.float32(nan),
  "Intensity in photo-electrons after cleaning"
  " that are in the camera border of width=2 pixels",
  )
@@ -193,10 +193,10 @@ class MorphologyContainer(Container):
 class StatisticsContainer(Container):
  """Store descriptive statistics"""
 
- max = Field(nan, "value of pixel with maximum intensity")
- min = Field(nan, "value of pixel with minimum intensity")
- mean = Field(nan, "mean intensity")
- std = Field(nan, "standard deviation of intensity")
+ max = Field(np.float32(nan), "value of pixel with maximum intensity")
+ min = Field(np.float32(nan), "value of pixel with minimum intensity")
+ mean = Field(np.float32(nan), "mean intensity")
+ std = Field(np.float32(nan), "standard deviation of intensity")
  skewness = Field(nan, "skewness of intensity")
  kurtosis = Field(nan, "kurtosis of intensity")
 
@@ -883,7 +883,9 @@ class ArrayEventContainer(Container):
  dl0 = Field(DL0Container(), "DL0 Data Volume Reduced Data")
  dl1 = Field(DL1Container(), "DL1 Calibrated image")
  dl2 = Field(ReconstructedContainer(), "Reconstructed Shower Information")
- simulation = Field(None, "Simulated Event Information", type=SimulatedEventContainer)
+ simulation = Field(
+ None, "Simulated Event Information", type=SimulatedEventContainer
+ )
  trigger = Field(TriggerContainer(), "central trigger information")
  count = Field(0, "number of events processed")
  pointing = Field(PointingContainer(), "Array and telescope pointing positions")