Multichem commited on
Commit
486363f
·
verified ·
1 Parent(s): 3d5979b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -79,14 +79,14 @@ def convert_df(array):
79
 
80
  @st.cache_data
81
  def calculate_DK_value_frequencies(np_array):
82
- unique, counts = np.unique(np_array[:9], return_counts=True)
83
  frequencies = counts / len(np_array) # Normalize by the number of rows
84
  combined_array = np.column_stack((unique, frequencies))
85
  return combined_array
86
 
87
  @st.cache_data
88
  def calculate_FD_value_frequencies(np_array):
89
- unique, counts = np.unique(np_array[:8], return_counts=True)
90
  frequencies = counts / len(np_array) # Normalize by the number of rows
91
  combined_array = np.column_stack((unique, frequencies))
92
  return combined_array
 
79
 
80
  @st.cache_data
81
  def calculate_DK_value_frequencies(np_array):
82
+ unique, counts = np.unique(np_array[:8], return_counts=True)
83
  frequencies = counts / len(np_array) # Normalize by the number of rows
84
  combined_array = np.column_stack((unique, frequencies))
85
  return combined_array
86
 
87
  @st.cache_data
88
  def calculate_FD_value_frequencies(np_array):
89
+ unique, counts = np.unique(np_array[:7], return_counts=True)
90
  frequencies = counts / len(np_array) # Normalize by the number of rows
91
  combined_array = np.column_stack((unique, frequencies))
92
  return combined_array