Link the doc for subsampling & point file readers, some reorg

1 files changed, 3 insertions, 3 deletions

diff --git a/src/python/gudhi/reader_utils.pyx b/src/python/gudhi/reader_utils.pyx
index 6994c4f9..5a756e4b 100644
--- a/src/python/gudhi/reader_utils.pyx
+++ b/src/python/gudhi/reader_utils.pyx
@@ -34,7 +34,7 @@ def read_lower_triangular_matrix_from_csv_file(csv_file='', separator=';'):
     :type separator: char
 
     :returns:  The lower triangular matrix.
-    :rtype: vector[vector[double]]
+    :rtype: list(list(float))
     """
     if csv_file:
         if path.isfile(csv_file):
@@ -45,7 +45,7 @@ def read_lower_triangular_matrix_from_csv_file(csv_file='', separator=';'):
 def read_persistence_intervals_grouped_by_dimension(persistence_file=''):
     """Reads a file containing persistence intervals.
     Each line might contain 2, 3 or 4 values: [[field] dimension] birth death
-    The return value is an `map[dim, vector[pair[birth, death]]]`
+    The return value is a `dict(dim, list(tuple(birth, death)))`
     where `dim` is an `int`, `birth` a `double`, and `death` a `double`.
     Note: the function does not check that birth <= death.
 
@@ -53,7 +53,7 @@ def read_persistence_intervals_grouped_by_dimension(persistence_file=''):
     :type persistence_file: string
 
     :returns:  The persistence pairs grouped by dimension.
-    :rtype: map[int, vector[pair[double, double]]]
+    :rtype: dict(int, list(tuple(float, float)))
     """
     if persistence_file:
         if path.isfile(persistence_file):