KashyapiNagaHarshitha commited on
Commit
1641e62
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1 Parent(s): 24b62e7

Update Quality_Control.py

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Files changed (1) hide show
  1. Quality_Control.py +7 -5
Quality_Control.py CHANGED
@@ -22,6 +22,7 @@ from bokeh.io import curdoc
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  from bokeh.models import Span, Label
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  from bokeh.models import ColumnDataSource, Button
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  from my_modules import *
 
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  #Silence FutureWarnings & UserWarnings
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  warnings.filterwarnings('ignore', category= FutureWarning)
@@ -54,7 +55,7 @@ print(selected_metadata_files)'''
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- base_dir = '/mnt/data/wetransfer_data-zip_2024-05-17_1431'
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  set_path = 'test'
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  selected_metadata_files = "['Slide_B_DD1s1.one_1.tif.csv', 'Slide_B_DD1s1.one_2.tif.csv']"
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  ls_samples = "['Ashlar_Exposure_Time.csv', 'new_data.csv', 'DD3S1.csv', 'DD3S2.csv', 'DD3S3.csv', 'TMA.csv']"
@@ -238,9 +239,9 @@ ls_samples
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  # In[29]:
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-
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-
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- df = pd.read_csv(os.path.join(input_data_dir, ls_samples[0]),index_col = 0, nrows = 1)
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  df.head(10)
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@@ -249,7 +250,7 @@ df.head(10)
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  # First gather information on expected headers using first file in ls_samples
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  # Read in the first row of the file corresponding to the first sample (index = 0) in ls_samples
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- df = pd.read_csv(os.path.join(input_data_dir, ls_samples[0]) , index_col = 0, nrows = 1)
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  # Make sure the file was imported correctly
@@ -341,6 +342,7 @@ for sample in ls_samples:
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  try:
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  # Read the CSV file
 
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  df = pd.read_csv(file_path, index_col=0)
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  # Check if the DataFrame is empty, if so, don't continue trying to process df and remove it
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  from bokeh.models import Span, Label
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  from bokeh.models import ColumnDataSource, Button
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  from my_modules import *
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+ from datasets import load_dataset
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  #Silence FutureWarnings & UserWarnings
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  warnings.filterwarnings('ignore', category= FutureWarning)
 
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+ base_dir = '/Users/harshithakolipaka/Downloads/wetransfer_data-zip_2024-05-17_1431'
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  set_path = 'test'
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  selected_metadata_files = "['Slide_B_DD1s1.one_1.tif.csv', 'Slide_B_DD1s1.one_2.tif.csv']"
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  ls_samples = "['Ashlar_Exposure_Time.csv', 'new_data.csv', 'DD3S1.csv', 'DD3S2.csv', 'DD3S3.csv', 'TMA.csv']"
 
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  # In[29]:
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+ path = os.path.join(input_data_dir, ls_samples[0])
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+ df = load_dataset('csv', data_files = path )
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+ #df = pd.read_csv(os.path.join(input_data_dir, ls_samples[0]),index_col = 0, nrows = 1)
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  df.head(10)
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  # First gather information on expected headers using first file in ls_samples
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  # Read in the first row of the file corresponding to the first sample (index = 0) in ls_samples
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+ #df = pd.read_csv(os.path.join(input_data_dir, ls_samples[0]) , index_col = 0, nrows = 1)
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  # Make sure the file was imported correctly
 
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  try:
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  # Read the CSV file
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+ df = load_dataset("csv", data_files = file_path)
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  df = pd.read_csv(file_path, index_col=0)
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  # Check if the DataFrame is empty, if so, don't continue trying to process df and remove it
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