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Resolve depreciation, change np.float64 to float #52

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Resolve depreciation, change np.float64 to float #52

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4 changes: 2 additions & 2 deletions mplstereonet/contouring.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@ def _count_points(lons, lats, func, sigma, gridsize=(100,100), weights=None):
if weights is None:
weights = 1
# Normalize the weights
weights = np.asarray(weights, dtype=np.float64)
weights = np.asarray(weights, dtype=float)
weights /= weights.mean()

# Generate a regular grid of "counters" to measure on...
Expand All @@ -31,7 +31,7 @@ def _count_points(lons, lats, func, sigma, gridsize=(100,100), weights=None):
# Basically, we can't model this as a convolution as we're not in cartesian
# space, so we have to iterate through and call the kernel function at
# each "counter".
totals = np.zeros(xyz_counters.shape[0], dtype=np.float64)
totals = np.zeros(xyz_counters.shape[0], dtype=float)
for i, xyz in enumerate(xyz_counters):
cos_dist = np.abs(np.dot(xyz, xyz_points.T))
density, scale = func(cos_dist, sigma)
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2 changes: 1 addition & 1 deletion mplstereonet/stereonet_math.py
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Expand Up @@ -157,7 +157,7 @@ def plane(strike, dip, segments=100, center=(0, 0)):
"""
lon0, lat0 = center
strikes, dips = np.atleast_1d(strike, dip)
lons = np.zeros((segments, strikes.size), dtype=np.float64)
lons = np.zeros((segments, strikes.size), dtype=float)
lats = lons.copy()
for i, (strike, dip) in enumerate(zip(strikes, dips)):
# We just plot a line of constant longitude and rotate it by the strike.
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