pylint suggested changes

This commit is contained in:
Andy Eschbacher 2016-03-31 11:26:33 -04:00
parent fd76a509ea
commit 693f6a68db

View File

@ -47,8 +47,8 @@ def spatial_markov_trend(subquery, time_cols, num_time_per_bin,
try:
query_result = plpy.execute(query)
except:
plpy.notice('** Query failed: %s' % query)
except plpy.SPIError, err:
plpy.notice('** Query failed with exception %s: %s' % (err, query))
plpy.error('Spatial Markov failed: check the input parameters')
return zip([None], [None], [None], [None], [None])
@ -75,20 +75,13 @@ def spatial_markov_trend(subquery, time_cols, num_time_per_bin,
prob_dist = get_prob_dist(sp_markov_result.P, lag_classes, sp_markov_result.classes[:, -1])
## find the ups and down and overall distribution of each cell
trend_up, trend_down, trend, volatility = get_prob_stats(prob_dist, sp_markov_result.classes[:, -1])
trend_up, trend_down, trend, volatility = get_prob_stats(prob_dist,
sp_markov_result.classes[:, -1])
## output the results
return zip(trend, trend_up, trend_down, volatility, weights.id_order)
def spatial_markov_predict(subquery, time_cols, num_time_per_bin,
permutations, geom_col, id_col, w_type, num_ngbrs):
"""
Filler for this future function
"""
return None
def get_time_data(markov_data, time_cols):
"""
Extract the time columns and bin appropriately
@ -131,7 +124,7 @@ def rebin_data(time_data, num_time_per_bin):
n_max = time_data.shape[1] / num_time_per_bin + 1
return np.array([time_data[:, num_time_per_bin * i:num_time_per_bin * (i+1)].mean(axis=1)
for i in range(n_max)]).T
for i in range(n_max)]).T
def get_prob_dist(transition_matrix, lag_indices, unit_indices):
"""
Given an array of transition matrices, look up the probability