# importing pandas as pd
import pandas as pd
  
# Creating a dataframe using dictionary
df = pd.DataFrame({"A":[-5, 8, 12, -9, 5, 3],
                   "B":[-1, -4, 6, 4, 11, 3], 
                   "C":[11, 4, -8, 7, 3, -2]})
  
# Printing the data frame for visualization
df

# Clip all values below 2
df.clip_lower(2)

# importing pandas as pd
import pandas as pd
  
# Creating a dataframe using dictionary
  
df = pd.DataFrame({"A":[-5, 8, 12, -9, 5, 3], 
                   "B":[-1, -4, 6, 4, 11, 3],
                   "C":[11, 4, -8, 7, 3, -2]})
  
# lower limit for each individual column element.
limit = np.array([[1, 2, 3], [10, 12, 3], [1, 4, 3],
                  [1, 2, 3], [1, 2, 3], [1, 2, 3]])
  
# Print lower_limit
limit

# applying different limit value 
# for each cell in the dataframe
df.clip_lower(limit)