We used bracket notation to conditionally replace the negative numbers in theDataFramewith zero. main.py df[df<0]=0 The condition makes it so the assignment only applies to values that are less than0. #Replace negative Numbers in a Pandas DataFrame with Zero using_get_numeric_data() You ca...
Python program to replace negative values in a numpy array # Import numpyimportnumpyasnp# Import pandasimportpandasaspd# Creating an arrayarr=np.array([1,2,-45,2,-6,3,-7,4,-2])# Display arrayprint("Original array:\n",arr,"\n")# Replacing negative valuesarr[arr<0]=0# Display resu...
# if using index=True, the spreadsheet will have a weird whitespace row between header and valuesforrindataframe_to_rows(df,index=False,header=True):worksheet1.append(r)# make another sheetwb.create_sheet('yesterday')# pick the sheetworksheet2=wb['yesterday']forrindataframe_to_rows(df2,index...