To delete a column from a DataFrame, use del(). You can also use pop() method to delete. Just drop it using square brackets. Mention the column to be deleted in the brackets and that’s it, for example −del dataFrame[‘ColumnName’]Import the required library with an alias −import pandas as pdCreate a ... Read More

When it is required to sort strings based on case difference, a method is defined that takes a string as a parameter. This method uses list comprehension and ‘isupper’ and ‘islower’ methods along with list comprehension to get case difference. Their difference gives the sorted values.ExampleBelow is a demonstration of ... Read More

When it is required to filter similar case strings, list comprehension can be used along with ‘isupper’ and ‘islower’ methods.ExampleBelow is a demonstration of the samemy_list = ["Python", "good", "FOr", "few", "CODERS"] print("The list is :") print(my_list) my_result = [sub for sub in my_list if sub.islower() or sub.isupper()] ... Read More

When it is required to find the index value that has been repeated in a list, it is iterated over using the list comprehension and ‘enumerate’.ExampleBelow is a demonstration of the samemy_list = [4, 0, 3, 1] print("The list is :") print(my_list) my_result = [element for sub in ... Read More

When it is required to convert the suffix denomination to values, the dictionary is iterated over and the ‘replace’ method is used to convert them to values.ExampleBelow is a demonstration of the samemy_list = ["5Cr", "7M", "9B", "12L", "20Tr", "30K"] print("The list is :") print(my_list) value_dict = {"M": 1000000, ... Read More

When it is required to check for similar elements in a matrix row, a method is defined that take a matrix as parameter. The map method is used to covert the matrix to a tuple. The matrix values are iterated over and if the frequency is greater than 1, it ... Read More

To select rows by integer location, use the iloc() function. Mention the index number of the row you want to select.Create a DataFrame −dataFrame = pd.DataFrame([[10, 15], [20, 25], [30, 35]], index=['x', 'y', 'z'], columns=['a', 'b'])Select rows with integer location using iloc() −dataFrame.iloc[1] ExampleFollowing is the code − import pandas ... Read More

To select rows by passing a label, use the loc() function. Mention the index of which you want to select the row. This is the index label in our example. We have x, y and z as the index label and can be used to select rows with loc().Create a ... Read More

When it is required to check the alternate peak elements in a list, a function is defined that iterates through the list, the adjacent elements of the array are compared and depending on this, the output is displayed on the console.ExampleBelow is a demonstration of the samedef find_peak(my_array, array_length) : ... Read More

To cast only a single column, use the astype() method. Let us first create a DataFrame with 2 columns. One of them is a “float64” type and another “int64” −dataFrame = pd.DataFrame( { "Reg_Price": [7000.5057, 1500, 5000, 8000, 9000.75768, 6000], ... Read More