Working with documents can be a challenge. Each format comes with its peculiarities, which frequently results in complex workarounds or reliance on unknown software downloads to avoid them. Luckily, there’s a tool that will make this process more enjoyable and less risky.
DocHub is a super straightforward yet comprehensive document editing program. It has a myriad of tools that help you shave minutes off the editing process, and the ability to Object Columns Contract For Free is only a small part of DocHub’s functionality.
Whether if you need a one-off edit or to tweak a huge document, our solution can help you Object Columns Contract For Free and apply any other desired changes quickly. Editing, annotating, signing and commenting and collaborating on files is straightforward utilizing DocHub. Our solution is compatible with various file formats - choose the one that will make your editing even more frictionless. Try our editor free of charge today!
in the last exercise you fix the datatype of the is arrested column now were going to build a date time index for our data frame lets take a look at the head of the data set again as you can see the date and time of each traffic stop are stored in separate columns both of which are object columns because well be using stop date and stop time in our analysis were going to combine these two columns into a single column and then convert it to pandas date-time format this will be beneficial because unlike object columns date/time columns provide date based attributes that will make our analysis easier lets see an example of this using the Apple stock price data frame from the previous video date and time are stored in separate columns so the first task is to combine these two columns using a string method as you might remember from previous courses string methods such as replace our series methods available via the stirrer accessor in this example were replacing the forward slash in