diff options
| -rw-r--r-- | wqflask/maintenance/quantile_normalize.py | 2 | ||||
| -rw-r--r-- | wqflask/utility/Plot.py | 2 | ||||
| -rw-r--r-- | wqflask/wqflask/correlation/correlation_functions.py | 4 | ||||
| -rw-r--r-- | wqflask/wqflask/correlation_matrix/show_corr_matrix.py | 6 | ||||
| -rw-r--r-- | wqflask/wqflask/marker_regression/qtlreaper_mapping.py | 2 | ||||
| -rw-r--r-- | wqflask/wqflask/network_graph/network_graph.py | 4 | ||||
| -rw-r--r-- | wqflask/wqflask/pbkdf2.py | 4 | ||||
| -rw-r--r-- | wqflask/wqflask/search_results.py | 2 |
8 files changed, 13 insertions, 13 deletions
diff --git a/wqflask/maintenance/quantile_normalize.py b/wqflask/maintenance/quantile_normalize.py index 34886f44..82b695f4 100644 --- a/wqflask/maintenance/quantile_normalize.py +++ b/wqflask/maintenance/quantile_normalize.py @@ -37,7 +37,7 @@ def create_dataframe(input_file): with open(input_file) as f: ncols = len(f.readline().split("\t")) - input_array = np.loadtxt(open(input_file, "rb"), delimiter="\t", skiprows=1, usecols=range(1, ncols)) + input_array = np.loadtxt(open(input_file, "rb"), delimiter="\t", skiprows=1, usecols=list(range(1, ncols))) return pd.DataFrame(input_array) #This function taken from https://github.com/ShawnLYU/Quantile_Normalize diff --git a/wqflask/utility/Plot.py b/wqflask/utility/Plot.py index 82bf6070..c9053dde 100644 --- a/wqflask/utility/Plot.py +++ b/wqflask/utility/Plot.py @@ -86,7 +86,7 @@ def frange(start, end=None, inc=1.0): # Need to adjust the count. AFAICT, it always comes up one short. count += 1 L = [start] * count - for i in xrange(1, count): + for i in range(1, count): L[i] = start + i * inc return L diff --git a/wqflask/wqflask/correlation/correlation_functions.py b/wqflask/wqflask/correlation/correlation_functions.py index 06dec795..abaa212f 100644 --- a/wqflask/wqflask/correlation/correlation_functions.py +++ b/wqflask/wqflask/correlation/correlation_functions.py @@ -50,12 +50,12 @@ from flask import Flask, g def cal_zero_order_corr_for_tiss (primaryValue=[], targetValue=[], method='pearson'): - R_primary = rpy2.robjects.FloatVector(range(len(primaryValue))) + R_primary = rpy2.robjects.FloatVector(list(range(len(primaryValue)))) N = len(primaryValue) for i in range(len(primaryValue)): R_primary[i] = primaryValue[i] - R_target = rpy2.robjects.FloatVector(range(len(targetValue))) + R_target = rpy2.robjects.FloatVector(list(range(len(targetValue)))) for i in range(len(targetValue)): R_target[i]=targetValue[i] diff --git a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py index e6c817e7..832746bb 100644 --- a/wqflask/wqflask/correlation_matrix/show_corr_matrix.py +++ b/wqflask/wqflask/correlation_matrix/show_corr_matrix.py @@ -194,7 +194,7 @@ class CorrelationMatrix(object): if self.do_PCA == True: self.pca_works = "True" self.pca_trait_ids = [] - pca = self.calculate_pca(range(len(self.traits)), corr_eigen_value, corr_eigen_vectors) + pca = self.calculate_pca(list(range(len(self.traits))), corr_eigen_value, corr_eigen_vectors) self.loadings_array = self.process_loadings() else: self.pca_works = "False" @@ -203,8 +203,8 @@ class CorrelationMatrix(object): self.js_data = dict(traits = [trait.name for trait in self.traits], groups = groups, - cols = range(len(self.traits)), - rows = range(len(self.traits)), + cols = list(range(len(self.traits))), + rows = list(range(len(self.traits))), samples = self.all_sample_list, sample_data = self.sample_data,) # corr_results = [result[1] for result in result_row for result_row in self.corr_results]) diff --git a/wqflask/wqflask/marker_regression/qtlreaper_mapping.py b/wqflask/wqflask/marker_regression/qtlreaper_mapping.py index 0c560582..189c1985 100644 --- a/wqflask/wqflask/marker_regression/qtlreaper_mapping.py +++ b/wqflask/wqflask/marker_regression/qtlreaper_mapping.py @@ -228,4 +228,4 @@ def natural_sort(marker_list): """ convert = lambda text: int(text) if text.isdigit() else text.lower() alphanum_key = lambda key: [ convert(c) for c in re.split('([0-9]+)', str(marker_list[key]['chr'])) ] - return sorted(range(len(marker_list)), key = alphanum_key)
\ No newline at end of file + return sorted(list(range(len(marker_list))), key = alphanum_key)
\ No newline at end of file diff --git a/wqflask/wqflask/network_graph/network_graph.py b/wqflask/wqflask/network_graph/network_graph.py index f61c40b4..ac2ff017 100644 --- a/wqflask/wqflask/network_graph/network_graph.py +++ b/wqflask/wqflask/network_graph/network_graph.py @@ -202,8 +202,8 @@ class NetworkGraph(object): self.js_data = dict(traits = [trait.name for trait in self.traits], groups = groups, - cols = range(len(self.traits)), - rows = range(len(self.traits)), + cols = list(range(len(self.traits))), + rows = list(range(len(self.traits))), samples = self.all_sample_list, sample_data = self.sample_data, elements = self.elements,) diff --git a/wqflask/wqflask/pbkdf2.py b/wqflask/wqflask/pbkdf2.py index 0ed50790..917b9d31 100644 --- a/wqflask/wqflask/pbkdf2.py +++ b/wqflask/wqflask/pbkdf2.py @@ -68,9 +68,9 @@ def pbkdf2_bin(data, salt, iterations=1000, keylen=24, hashfunc=None): h.update(x) return list(map(ord, h.digest())) buf = [] - for block in xrange(1, -(-keylen // mac.digest_size) + 1): + for block in range(1, -(-keylen // mac.digest_size) + 1): rv = u = _pseudorandom(salt + _pack_int(block)) - for i in xrange(iterations - 1): + for i in range(iterations - 1): u = _pseudorandom(''.join(map(chr, u))) rv = list(starmap(xor, zip(rv, u))) buf.extend(rv) diff --git a/wqflask/wqflask/search_results.py b/wqflask/wqflask/search_results.py index de4b01eb..5b3946e3 100644 --- a/wqflask/wqflask/search_results.py +++ b/wqflask/wqflask/search_results.py @@ -266,7 +266,7 @@ def get_GO_symbols(a_search): def insert_newlines(string, every=64): """ This is because it is seemingly impossible to change the width of the description column, so I'm just manually adding line breaks """ lines = [] - for i in xrange(0, len(string), every): + for i in range(0, len(string), every): lines.append(string[i:i+every]) return '\n'.join(lines) |