![]() ![]() ![]() I’m happy with the improvements this game has gotten. And maybe give other students and teachers homes as well instead of having them spawn outside a very large tunnel. Also, I think I speak for most players when I say that we need a house, since we could start in the house rather in front of the school. And give the students activity! They really don’t do anything while in club hours, just stand there. Add student lunches, and maybe a seat for the player. I am happy that teachers are now more active, as they didn’t do much at all before. Maybe have them interact with each other? This goes for teachers too. While you can interact with them, it’s very minimal. The students themselves are very robot like, only moving to class and lunch. Maybe give them something to do? And maybe get students to visit the stores and stuff during lunch ours and after school. Just make them wear the same school uniforms as everyone else! I like the addition of the clerks and store managers, but they don’t really do much either, just stand there. Maybe create more classrooms so that they can have classes and be programmed as normal students? Also, their outfits are kind of odd. They just stand there and you can’t do much other than kill them or join their club. The hair style collection is nice as well. I love the use of the models from Unity Assets. ![]()
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Try World of Guns: the world's most realistic 3D simulator of firearms (and other things from tanks to DeLorean time machines). ![]() ![]() ![]() Try passing columns of the DataFrame directly to matplotlib, as in the examples below, instead of extracting them as numpy arrays. the points that are not in the filtered set mydata? ![]() so how would you basically plot "the rest" of the data, i.e. But mydata will be missing some points that have values for col1,col2 but are NA for col3, and those still have to be plotted. Then you can plot using mydata like you show - plotting the scatter between col1,col2 using the values of col3. So you would do: mydata = df.dropna(how="any", subset=["col1", "col2", "col3") Similarly in your example where you plot col1,col2 differently based on col3, what if there are NA values that break the association between col1,col2,col3? For example if you want to plot all col2 values based on their col3 values, but some rows have an NA value in either col1 or col3, forcing you to use dropna first. and make sure you then plot "the rest" (things not in any of these conditions) as the last step? How can you elegantly apply condition a, b, c, etc. you want to split up the scatters into 4 types of points or even more, plotting each in different shape/color. You say that the best way is to plot each condition (like subset_a, subset_b) separately. Myscatter.replot(mydata > 0.5, color="red", s=0.5) # Plot in red, with smaller size, all the points that For example: mydata = df.dropna(how="any", subset=) what if you wanted to automatically plot the labels of the points that meet a certain cutoff on col1, col2 alongside them (where the labels are stored in another column of the df), or color these points differently, like people do with dataframes in R. Similarly, imagine that you wanted to filter or color each point differently depending on the values of some of its columns. # plot a scatter of col1 by col2, with sizes according to col3 Is there a way to plot while preserving the dataframe? For example: mydata = df.dropna(how="any", subset=) The problem with converting everything to array before plotting is that it forces you to break out of dataframes.Ĭonsider these two use cases where having the full dataframe is essential to plotting:įor example, what if you wanted to now look at all the values of col3 for the corresponding values that you plotted in the call to scatter, and color each point (or size) it by that value? You'd have to go back, pull out the non-na values of col1,col2 and check what their corresponding values. # and drop na rows if any of the columns are NA What is the best way to make a series of scatter plots using matplotlib from a pandas dataframe in Python?įor example, if I have a dataframe df that has some columns of interest, I find myself typically converting everything to arrays: import matplotlib.pylab as plt ![]() ![]() ![]() Other features installed in TouchRetouch include the clone stamp tool, a undo/redo function, and quick photo repair.įor a complete feature walkthrough of the app, we have a more in-depth review of TouchRetouch. This lets you remove overhead electric wires, mailboxes, and of course, watermarks. TouchRetouch has several major features, but the most prominent one is its object removal feature. Do this until all of the watermarks are removed or changed. Using the healing tool from the “Retouch” tab, select and highlight the watermark and double click the areas you want to change.ģ. Choose a picture from your library or take a new one.Ģ. To remove watermarks from photos using this app, just do the following:ġ. Aside from that, AirBrush also specializes in editing selfies with its AI-assisted filters, acne remover, digital concealer, and hairstyle changer. AirBrush Photo from AirBrush on the Google App Storeĭeveloper: Pixocial Technology Singapore Pte LtdĪirBrush is another advanced photo editing program that you can use to remove watermarks. Get ToolWiz Photos on the Apple App Storeĥ. Get ToolWiz Photos on the Google Play Store Press the “check” button and wait for it to finish. Using the healing tool, select and highlight the area and objects you’d like the app to remove.ģ. With more than 40 filters, blending mixers, art effects, HDR capability, and AI-guided blurs, selfie, and face polish features, you’ll find ToolWiz to be more than just a watermark remover app.Ģ. ToolWiz Photos is a full and free all-in-one photo editing suite that can handle almost any photo editing request. Get Photo Retouch – Object Removal on the Apple App Storeĭeveloper: on Android Nanjing Guiji Intelligent Technology Co., Ltd. Get Photo Retouch – Object Removal on the Google Play Store Press the “process” button and wait for it to finish. Select and highlight the area and objects you’d like the app to remove.ģ. Choose a picture from your camera roll or take a new one.Ģ. To use this app after downloading, just do the following:ġ. You can remove watermarks from both photos and videos, as well as pimples, blemishes, and other hindrances to your photos. Photo Retouch – Object Removal Photo from Photo Retouch on the Google App Storeĭeveloper: Shenzhen Leyuan Shentu Technology Co., LtdĪ multi-purpose photo and video editing app, Photo Retouch is a versatile tool. Select the marker tool and choose which parts to remove.ģ. Since our first pick is available only on Android, PicLab is our suggested app for those on iOS.Ģ. It can also handle adding stickers, filters, and photo overlays. PicLab also removes more than just watermarks. Get Remove Unwanted Object on the Google Play Storeĭeveloper: We Heart It on Android, Super Basic on iOSĪnother general object removal and watermark remover app, PicLab, is available on both Android and iOS platforms. Select the watermark to remove using the brush or lasso tool.Ĥ. Take a photo or choose one to edit from your gallery.Ģ. To use this app, after downloading, just do the following:ġ. Aside from watermarks, this app can also remove people, stamps, objects, and other hindrances from photos. And third, you have a valid and a legal fair use reason for removing the watermark.įor those of you who do have legal reasons to use a watermark remover app, here’s our list of the top 11 apps available for iPhone or Android smartphones!Ī simple and easy-to-use app, Remove Unwanted Object is the first on our list as our choice for the best watermark remover app. Second, the copyright of a photo or work is in a legal gray area. First, you own the copyrighted work or have permission from the owner to edit the photo. ![]() However, there are three specific instances where removing watermarks is legal. Among the changes made by the DMCA is Section 1202 (b), which, states “No person shall, without the authority of the copyright owner or the law intentionally remove or alter any copyright management information.” The Digital Millennium Copyright Act (DMCA) passed in 1998 amended the Copyright Act of 1976. So are they legal to remove? Generally, the answer is no. ![]() Having watermarks is also a way to declare that a specific image or set of images is registered under copyright to the creator. These watermarks are used by photographers, journalists, bloggers, and other online content creators to log and receive credit for their work and to advertise their expertise. |
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