title
Python Pandas Tutorial (Part 6): Add/Remove Rows and Columns From DataFrames

description
In this video, we will be learning how to add and remove our rows and columns. This video is sponsored by Brilliant. Go to https://brilliant.org/cms to sign up for free. Be one of the first 200 people to sign up with this link and get 20% off your premium subscription. In this Python Programming video, we will be learning how to add and remove rows and columns from dataframes using the append and drop methods. We will also see how we can create new columns by combining elements from existing ones. Let's get started... The code for this video can be found at: http://bit.ly/Pandas-06 StackOverflow Survey Download Page - http://bit.ly/SO-Survey-Download ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python #Pandas

detail
{'title': 'Python Pandas Tutorial (Part 6): Add/Remove Rows and Columns From DataFrames', 'heatmap': [{'end': 337.961, 'start': 303.786, 'weight': 0.715}, {'end': 415.627, 'start': 384.91, 'weight': 0.73}, {'end': 450.829, 'start': 431.337, 'weight': 0.749}, {'end': 651.682, 'start': 618.614, 'weight': 0.981}, {'end': 695.385, 'start': 660.006, 'weight': 0.714}], 'summary': 'This tutorial covers adding/removing columns, combining information in data frames, and demonstrates data manipulation using pandas library. it includes examples of appending rows, using apply, drop methods, and acknowledges sponsorship by brilliant.', 'chapters': [{'end': 31.719, 'segs': [{'end': 31.719, 'src': 'embed', 'start': 0.189, 'weight': 0, 'content': [{'end': 5.155, 'text': "Hey there, how's it going everybody? In this video, we're going to be learning how to add and remove columns from our data frames.", 'start': 0.189, 'duration': 4.966}, {'end': 9.44, 'text': "We'll also take a look at how we can combine information from multiple columns into one.", 'start': 5.475, 'duration': 3.965}, {'end': 15.647, 'text': 'Now in my last video on updating rows and columns, that one was pretty long, but this one should be a lot shorter.', 'start': 9.86, 'duration': 5.787}, {'end': 19.89, 'text': "Now, I'd like to mention that we do have a sponsor for this series of videos, and that is Brilliant.", 'start': 16.146, 'duration': 3.744}, {'end': 27.335, 'text': 'So I really want to thank Brilliant for sponsoring this series and it would be great if you all could check them out using the link in the description section below and support the sponsors.', 'start': 20.21, 'duration': 7.125}, {'end': 29.657, 'text': "And I'll talk more about their services in just a bit.", 'start': 27.656, 'duration': 2.001}, {'end': 31.719, 'text': "So with that said, let's go ahead and get started.", 'start': 30.037, 'duration': 1.682}], 'summary': 'Tutorial on adding/removing columns from data frames. sponsored by brilliant.', 'duration': 31.53, 'max_score': 0.189, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc189.jpg'}], 'start': 0.189, 'title': 'Data frame: add/remove columns & combine information', 'summary': 'Covers adding and removing columns, combining information from multiple columns in data frames, and acknowledges sponsorship by brilliant, emphasizing shorter duration compared to the previous video.', 'chapters': [{'end': 31.719, 'start': 0.189, 'title': 'Data frame: add/remove columns & combine information', 'summary': 'Covers adding and removing columns from data frames, combining information from multiple columns, and acknowledges sponsorship by brilliant, emphasizing shorter duration compared to the previous video.', 'duration': 31.53, 'highlights': ['The video demonstrates adding and removing columns from data frames and combining information from multiple columns.', 'The previous video on updating rows and columns was longer, but this one is shorter, offering a more concise presentation.', 'The series of videos is sponsored by Brilliant, with a request for viewers to check out their services using the link provided in the description section.']}], 'duration': 31.53, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc189.jpg', 'highlights': ['The video demonstrates adding and removing columns from data frames and combining information from multiple columns.', 'The previous video on updating rows and columns was longer, but this one is shorter, offering a more concise presentation.', 'The series of videos is sponsored by Brilliant, with a request for viewers to check out their services using the link provided in the description section.']}, {'end': 430.717, 'segs': [{'end': 62.318, 'src': 'embed', 'start': 32.299, 'weight': 6, 'content': [{'end': 37.382, 'text': 'Now, like I said in the last video, we saw how to update information within our rows and columns.', 'start': 32.299, 'duration': 5.083}, {'end': 40.523, 'text': "Now we're going to see how we can add and remove rows and columns.", 'start': 37.822, 'duration': 2.701}, {'end': 43.085, 'text': "First, let's look at adding columns.", 'start': 40.983, 'duration': 2.102}, {'end': 49.248, 'text': "Now adding columns is going to be pretty easy for us because it's basically the same thing that we did when we were updating values.", 'start': 43.465, 'duration': 5.783}, {'end': 55.431, 'text': 'We can simply create a column and pass in a series of values that we want that column to have.', 'start': 49.748, 'duration': 5.683}, {'end': 62.318, 'text': "So I currently have my snippets file open here that we've seen in previous videos so that we can see what this looks like on a smaller data set.", 'start': 55.891, 'duration': 6.427}], 'summary': 'Demonstrating adding and removing rows and columns in a data set.', 'duration': 30.019, 'max_score': 32.299, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc32299.jpg'}, {'end': 173.275, 'src': 'embed', 'start': 106.374, 'weight': 0, 'content': [{'end': 111.016, 'text': 'Now, if I run this, then we can see that we get the first name and then a space.', 'start': 106.374, 'duration': 4.642}, {'end': 112.516, 'text': "That's what this section is doing here.", 'start': 111.056, 'duration': 1.46}, {'end': 114.077, 'text': 'And then the last name.', 'start': 112.996, 'duration': 1.081}, {'end': 119.02, 'text': 'So now that we have this series of values here, we can see that we have three values.', 'start': 114.637, 'duration': 4.383}, {'end': 128.545, 'text': 'In order to add these to a new column with these values, we can simply say DF and then the name of what we want our new column to be.', 'start': 119.36, 'duration': 9.185}, {'end': 130.586, 'text': "I'm going to call this full name.", 'start': 128.786, 'duration': 1.8}, {'end': 138.856, 'text': "And then I'm just going to copy this that gave us that series before and assign this full name column to that returned series.", 'start': 131.187, 'duration': 7.669}, {'end': 145.704, 'text': 'So if I run that and then we look at our data frame, then now we can see that our data frame here has this new column.', 'start': 139.377, 'duration': 6.327}, {'end': 148.807, 'text': 'That is the first and the last name combined.', 'start': 146.404, 'duration': 2.403}, {'end': 151.049, 'text': "And again I'm using strings here,", 'start': 149.147, 'duration': 1.902}, {'end': 159.276, 'text': 'but you could also create a new column using the apply method that we saw in the last video to have a new column for some mathematical analysis,', 'start': 151.049, 'duration': 8.227}, {'end': 161.318, 'text': 'for another column in the data frame as well.', 'start': 159.276, 'duration': 2.042}, {'end': 166.826, 'text': "Now, I do want to point out that you can't use the dot notation when assigning a column like this.", 'start': 161.898, 'duration': 4.928}, {'end': 173.275, 'text': 'We have to use the brackets like we did here in order to make these assignments.', 'start': 167.326, 'duration': 5.949}], 'summary': "Creating a new column 'full name' by combining first and last names, adding three values to the column, and using brackets for column assignments.", 'duration': 66.901, 'max_score': 106.374, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc106374.jpg'}, {'end': 262.863, 'src': 'embed', 'start': 218.932, 'weight': 4, 'content': [{'end': 223.954, 'text': 'So if I run this, then we can see that it returns a data frame without those columns.', 'start': 218.932, 'duration': 5.022}, {'end': 231.136, 'text': "And like we've seen before, this just gives us a view of what our data frame would look like, but it doesn't actually apply those changes.", 'start': 224.414, 'duration': 6.722}, {'end': 237.658, 'text': "If we're happy with those changes, then we can set the in place argument to true so that it changes our data frame in place.", 'start': 231.536, 'duration': 6.122}, {'end': 244.62, 'text': 'So I can come over here and just say in place equal to true within our drop method.', 'start': 238.138, 'duration': 6.482}, {'end': 253.831, 'text': 'And if I run that and then we look at our data frame, then now we can see that our data frame no longer has that first and last name column.', 'start': 245.22, 'duration': 8.611}, {'end': 261.801, 'text': "Now, if we wanted to reverse that process and split that full name column into two different columns, then that's a little more complicated,", 'start': 254.292, 'duration': 7.509}, {'end': 262.863, 'text': 'but still pretty simple.', 'start': 261.801, 'duration': 1.062}], 'summary': 'Demonstrating data frame manipulation and column removal and addition.', 'duration': 43.931, 'max_score': 218.932, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc218932.jpg'}, {'end': 337.961, 'src': 'heatmap', 'start': 291.981, 'weight': 1, 'content': [{'end': 299.244, 'text': 'So if we run this, then the result of that split method is that we get the first name and the last name in a list.', 'start': 291.981, 'duration': 7.263}, {'end': 303.306, 'text': 'So the first name is the first value and the last name is the second value.', 'start': 299.665, 'duration': 3.641}, {'end': 311.95, 'text': "Now, if we want to assign these to two different columns, then we need to expand this list so that they're actually in two different columns.", 'start': 303.786, 'duration': 8.164}, {'end': 316.172, 'text': 'So to do this in pandas, we can use the expand argument.', 'start': 312.31, 'duration': 3.862}, {'end': 318.033, 'text': "So let's see what this looks like.", 'start': 316.532, 'duration': 1.501}, {'end': 320.994, 'text': 'So this is within the split method here.', 'start': 318.453, 'duration': 2.541}, {'end': 325.916, 'text': 'and we can just pass in another argument and say expand is equal to true.', 'start': 321.494, 'duration': 4.422}, {'end': 334.06, 'text': 'So if I run this, then we can see that the results are pretty similar, but now everything that was in our list is split up into columns.', 'start': 326.436, 'duration': 7.624}, {'end': 337.961, 'text': 'So now we have two columns here of those split results.', 'start': 334.42, 'duration': 3.541}], 'summary': 'Using the expand argument in pandas split method to separate values into two columns.', 'duration': 24.191, 'max_score': 291.981, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc291981.jpg'}, {'end': 430.717, 'src': 'heatmap', 'start': 384.91, 'weight': 5, 'content': [{'end': 392.213, 'text': 'so we can see that now we added a first and a last column with the values that we returned up here.', 'start': 384.91, 'duration': 7.303}, {'end': 394.674, 'text': "okay, so that's how we would add and remove columns.", 'start': 392.213, 'duration': 2.461}, {'end': 397.776, 'text': "So now let's look at adding and removing rows of data.", 'start': 395.054, 'duration': 2.722}, {'end': 401.878, 'text': 'So there are a couple of different ways that we might want to add rows to our data frame.', 'start': 398.196, 'duration': 3.682}, {'end': 407.222, 'text': 'So first, we might just want to add a single row to our data frame of new data.', 'start': 402.319, 'duration': 4.903}, {'end': 415.627, 'text': 'And second, maybe we want to combine two data frames together into a single data frame by appending the rows of one to another.', 'start': 407.762, 'duration': 7.865}, {'end': 419.729, 'text': "First, let's look at adding a single row of data.", 'start': 416.467, 'duration': 3.262}, {'end': 422.811, 'text': 'We can do this with the append method.', 'start': 420.27, 'duration': 2.541}, {'end': 430.717, 'text': 'If I want to add a single row, then I can just say df.append, and now we can pass in our values here.', 'start': 422.852, 'duration': 7.865}], 'summary': 'Demonstrated adding and removing columns and rows in a dataframe.', 'duration': 22.955, 'max_score': 384.91, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc384910.jpg'}], 'start': 32.299, 'title': 'Pandas data manipulation', 'summary': 'Covers adding and removing rows and columns in a data frame using the pandas library, including examples of combining columns, using apply and drop methods, and appending a single row of data.', 'chapters': [{'end': 151.049, 'start': 32.299, 'title': 'Adding and removing rows and columns', 'summary': "Demonstrates how to add a new column by combining existing columns and updating the dataframe, providing an example of combining first and last names into a new 'full name' column.", 'duration': 118.75, 'highlights': ["The process of adding a new column involves creating a series of values and assigning it to a new column in the DataFrame, as demonstrated by combining first and last names into a new 'full name' column.", "The demonstration provides a practical example of combining first and last names into a new column, with the resulting DataFrame showing the newly added 'full name' column.", 'The video emphasizes the simplicity of adding columns, highlighting the ease of the process by leveraging the existing values and DataFrame structure.']}, {'end': 237.658, 'start': 151.049, 'title': 'Adding and removing columns in data frames', 'summary': 'Demonstrates how to add a new column using the apply method and remove columns using the drop method in a data frame, emphasizing the use of brackets instead of dot notation for assigning a column and the in place argument for applying changes.', 'duration': 86.609, 'highlights': ['The chapter shows how to add a new column to a data frame using the apply method, highlighting the need to use brackets instead of dot notation for assigning a column, to avoid Python considering it as an attribute assignment onto the data frame object.', 'It explains the process of removing columns from a data frame using the drop method, demonstrating the use of the in place argument to apply changes to the data frame.']}, {'end': 430.717, 'start': 238.138, 'title': 'Pandas data manipulation', 'summary': 'Covers adding and removing columns and rows in a data frame using the pandas library, demonstrating the removal of a column, splitting a column into two, and appending a single row of data.', 'duration': 192.579, 'highlights': ['The split method is used to split a full name column into first and last name columns, and the expand argument is used to separate the split values into two different columns, simplifying data manipulation.', 'The process of adding and removing columns in a data frame is demonstrated with the removal of a specific column and the addition of new columns by splitting the full name column into first and last name columns.', 'Appending a single row of data is showcased using the append method, providing a practical demonstration of adding new data to the data frame.']}], 'duration': 398.418, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc32299.jpg', 'highlights': ["The process of adding a new column involves creating a series of values and assigning it to a new column in the DataFrame, as demonstrated by combining first and last names into a new 'full name' column.", 'The split method is used to split a full name column into first and last name columns, and the expand argument is used to separate the split values into two different columns, simplifying data manipulation.', "The demonstration provides a practical example of combining first and last names into a new column, with the resulting DataFrame showing the newly added 'full name' column.", 'The chapter shows how to add a new column to a data frame using the apply method, highlighting the need to use brackets instead of dot notation for assigning a column, to avoid Python considering it as an attribute assignment onto the data frame object.', 'The process of adding and removing columns in a data frame is demonstrated with the removal of a specific column and the addition of new columns by splitting the full name column into first and last name columns.', 'Appending a single row of data is showcased using the append method, providing a practical demonstration of adding new data to the data frame.', 'The video emphasizes the simplicity of adding columns, highlighting the ease of the process by leveraging the existing values and DataFrame structure.', 'It explains the process of removing columns from a data frame using the drop method, demonstrating the use of the in place argument to apply changes to the data frame.']}, {'end': 1002.025, 'segs': [{'end': 461.434, 'src': 'heatmap', 'start': 431.337, 'weight': 0.749, 'content': [{'end': 437.221, 'text': "I'm just going to pass in a dictionary here, and we'll pass in a first name of Tony.", 'start': 431.337, 'duration': 5.884}, {'end': 440.463, 'text': 'If I run this, then we can see that we get an error.', 'start': 437.701, 'duration': 2.762}, {'end': 444.726, 'text': "Now, this is because this currently doesn't have an index.", 'start': 441.143, 'duration': 3.583}, {'end': 450.829, 'text': 'Now, it can sometimes be difficult to read these pandas errors and figure out what the problem is.', 'start': 445.986, 'duration': 4.843}, {'end': 453.73, 'text': 'But in this case, it tells us exactly what to do.', 'start': 451.229, 'duration': 2.501}, {'end': 461.434, 'text': 'It says down here at the bottom can only append a series if ignore index is equal to true, or if the series has a name.', 'start': 454.37, 'duration': 7.064}], 'summary': "Passing a dictionary with 'tony' as first name results in an error due to missing index. pandas error specifies the required action.", 'duration': 30.097, 'max_score': 431.337, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc431337.jpg'}, {'end': 523.581, 'src': 'embed', 'start': 502.985, 'weight': 0, 'content': [{'end': 512.592, 'text': 'So you can pass in an entire series or a list of information there in order to add a single row of data of any information that you want.', 'start': 502.985, 'duration': 9.607}, {'end': 518.677, 'text': "Now, if we have a data frame that we'd like to append to our existing data frame, then we can do that as well.", 'start': 513.212, 'duration': 5.465}, {'end': 523.581, 'text': 'So let me create a new data frame here from our existing values up here at the top.', 'start': 519.177, 'duration': 4.404}], 'summary': 'Ability to add a single row of data to a data frame and append another data frame.', 'duration': 20.596, 'max_score': 502.985, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc502985.jpg'}, {'end': 651.682, 'src': 'heatmap', 'start': 603.311, 'weight': 2, 'content': [{'end': 609.892, 'text': "So again, we're going to want to ignore the indexes when appending these so that they are assigned indexes properly.", 'start': 603.311, 'duration': 6.581}, {'end': 617.974, 'text': "So I'm going to say df.append and I'm going to pass in df2 so that it appends it to our original data frame.", 'start': 610.292, 'duration': 7.682}, {'end': 624.32, 'text': "And then I'm going to say ignore underscore index is equal to true.", 'start': 618.614, 'duration': 5.706}, {'end': 630.126, 'text': 'And if I run this here, then we can see down here at the bottom that it added these new rows.', 'start': 624.941, 'duration': 5.185}, {'end': 638.415, 'text': "Now if you got a warning here, then the reason for this is because we didn't pass in all of the columns in the same order when appending these.", 'start': 630.627, 'duration': 7.788}, {'end': 643.698, 'text': "So it's given us a warning here that there are different ways that it could have sorted the columns.", 'start': 638.775, 'duration': 4.923}, {'end': 646.099, 'text': "So don't worry too much about that.", 'start': 644.178, 'duration': 1.921}, {'end': 651.682, 'text': "But in the future version of pandas, it's going to set the sort to false by default.", 'start': 646.559, 'duration': 5.123}], 'summary': 'Appending df2 to original dataframe using df.append, ignoring indexes', 'duration': 26.815, 'max_score': 603.311, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc603311.jpg'}, {'end': 695.385, 'src': 'heatmap', 'start': 660.006, 'weight': 0.714, 'content': [{'end': 666.529, 'text': 'But if we wanted to, then we could pass in the value of sort equal to false and get rid of this warning.', 'start': 660.006, 'duration': 6.523}, {'end': 670.872, 'text': 'So if I went back up here and I passed in sort is equal to false.', 'start': 666.929, 'duration': 3.943}, {'end': 674.715, 'text': "And also when I run this, it's no longer going to sort these columns here.", 'start': 671.172, 'duration': 3.543}, {'end': 678.838, 'text': 'So if I run this, then we can see that we no longer get that warning.', 'start': 675.236, 'duration': 3.602}, {'end': 682.141, 'text': "And now it's not sorting the columns anymore.", 'start': 679.339, 'duration': 2.802}, {'end': 688.483, 'text': "Now, unlike the drop method, if we want to make these changes permanent, then we don't have an in place method to use.", 'start': 682.561, 'duration': 5.922}, {'end': 695.385, 'text': "Instead, we'd have to just set the data frame to this returned data frame by copying this.", 'start': 688.923, 'duration': 6.462}], 'summary': 'Setting sort to false removes warning, stops sorting columns.', 'duration': 35.379, 'max_score': 660.006, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc660006.jpg'}, {'end': 721.937, 'src': 'embed', 'start': 696.025, 'weight': 3, 'content': [{'end': 701.666, 'text': 'And then we can say DF is equal to and then just pass in that returned data frame there.', 'start': 696.025, 'duration': 5.641}, {'end': 707.868, 'text': 'So if I run that, then we look at our original data frame, then we can see that those rows were added on there.', 'start': 702.106, 'duration': 5.762}, {'end': 715.253, 'text': "Now, I'll be honest, some of you might want to ask in the comment section below why some of these have an in-place argument and others don't.", 'start': 708.288, 'duration': 6.965}, {'end': 717.254, 'text': "But honestly, I'm not really sure.", 'start': 715.793, 'duration': 1.461}, {'end': 721.937, 'text': "I'm sure there's a reason, but I'd have to do some more digging around to find out exactly why.", 'start': 717.634, 'duration': 4.303}], 'summary': 'Demonstrating data frame manipulation and discussing in-place arguments.', 'duration': 25.912, 'max_score': 696.025, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc696025.jpg'}], 'start': 431.337, 'title': 'Appending and removing rows in pandas', 'summary': 'Discusses appending data to dataframes, including adding a single row and appending an entire dataframe, and demonstrates adding and removing rows in pandas, with detailed code snippets, explanations, and mention of the sponsor, brilliant.', 'chapters': [{'end': 583.746, 'start': 431.337, 'title': 'Appending data to dataframes', 'summary': 'Discusses how to append data to dataframes in pandas, including adding a single row with specific values and appending an entire dataframe to an existing one, exemplifying with detailed code snippets and explanations.', 'duration': 152.409, 'highlights': ["Appending a single row to a dataframe can be done by passing a dictionary with the new data, and ignoring the index if necessary, as illustrated with the example of adding a new name 'Tony' to the dataframe.", "Appending an entire dataframe to an existing one involves creating a new dataframe and then using the 'pd.dataframe' function to pass in the new dictionary, demonstrated with the example of creating a new dataframe 'df2' with modified data and values for 'Tony' and 'Steve'."]}, {'end': 1002.025, 'start': 584.166, 'title': 'Adding and removing rows in pandas', 'summary': 'Demonstrates adding rows by appending a data frame to an existing one, ignoring conflicting indexes and columns, and removing rows using the drop method or conditional filtering, with an overview of the in-place argument and a mention of the sponsor, brilliant.', 'duration': 417.859, 'highlights': ['Appending a data frame to an existing one by using the df.append method and setting ignore_index to true to properly assign indexes, resulting in the addition of new rows.', 'Removing rows by using the df.drop method and setting the in place argument to true to apply the changes to the data frame, with the option to drop rows using a conditional filter.', 'Mentioning the absence of an in-place argument in the append method, requiring the data frame to be set to the returned data frame to make changes permanent.']}], 'duration': 570.688, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HQ6XO9eT-fc/pics/HQ6XO9eT-fc431337.jpg', 'highlights': ["Appending an entire dataframe involves creating a new dataframe and using 'pd.dataframe' function.", 'Appending a single row to a dataframe can be done by passing a dictionary with the new data.', 'Appending a data frame to an existing one by using the df.append method and setting ignore_index to true.', 'Removing rows by using the df.drop method and setting the in place argument to true.', 'Mentioning the absence of an in-place argument in the append method, requiring the data frame to be set to the returned data frame.']}], 'highlights': ['The video demonstrates adding and removing columns from data frames and combining information from multiple columns.', "The process of adding a new column involves creating a series of values and assigning it to a new column in the DataFrame, as demonstrated by combining first and last names into a new 'full name' column.", 'The previous video on updating rows and columns was longer, but this one is shorter, offering a more concise presentation.', 'The series of videos is sponsored by Brilliant, with a request for viewers to check out their services using the link provided in the description section.', 'The split method is used to split a full name column into first and last name columns, and the expand argument is used to separate the split values into two different columns, simplifying data manipulation.', "The demonstration provides a practical example of combining first and last names into a new column, with the resulting DataFrame showing the newly added 'full name' column.", 'The chapter shows how to add a new column to a data frame using the apply method, highlighting the need to use brackets instead of dot notation for assigning a column, to avoid Python considering it as an attribute assignment onto the data frame object.', 'The process of adding and removing columns in a data frame is demonstrated with the removal of a specific column and the addition of new columns by splitting the full name column into first and last name columns.', 'Appending a single row of data is showcased using the append method, providing a practical demonstration of adding new data to the data frame.', 'The video emphasizes the simplicity of adding columns, highlighting the ease of the process by leveraging the existing values and DataFrame structure.']}