As the color builds, I have to watch, and make a decision as to when to stop: I do not want the grain to be obscured, but I do want enough varnish thickness to provide a moisture barrier against sweat, etc.I sand between coats, using 400-grit paper. Next I begin applying darker colored varnish in the areas where least wear would occur (Or, of course, if no “antiquing” is planned, I apply the darker varnishes over the entire instrument except the “handle” area of the neck, which is left bare until the very end.Then I rub off any excess pigment, so that the dark color only remains in the low areas of the “distress.” This would also be when I apply “dirt” in wear areas, where grain is raised and where a player’s clothes or hands would typically wear off the original varnish. If I have induced the type of wear that involves “scratched areas” or “dents”, I apply them now, and rub dark pigment into those discontinuities, to imitate dirt in old scratches on old instruments.It will affect how much color I apply to what areas, as well as whether I intend to add “dirt” in wear areas. if I am going to do any “wear” or “antiquing,” I need to begin thinking of it now.After the base coat is dry, I rub it down with fine sandpaper, just to remove any bits that stick up–whether dust, debris, wood fibers that raised up earlier…whatever is sticking up needs to be flattened, or there will be a “cone” of varnish growing around it with each coat.though they have the same amount of varnish. I begin with yellow varnish for a base coat at least…sometimes two or three coats to get it even all over, as some areas soak it up rapidly, and look “dry”. Beginning the Varnish, Proper Varnish Plan:
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Kyrylenko had said multiple people were under the debris. In the city of Sloviansk, named as a likely next target of Russia's offensive, rescuers said they pulled a 40-year-old man from the rubble of a building destroyed by shelling on Saturday morning. It was not clear how civilians were expected to safely leave Russian-controlled areas while missile strikes and artillery shelling continue in surrounding areas, or whether they would be allowed to depart or even hear the government's appeal.įive people were killed and eight more wounded in Russian shelling Friday of Siversk and Semyhirya in Donetsk province, its governor, Pavlo Kyrylenko, wrote on his Telegram channel on Saturday morning. She declined to give details, citing safety considerations. Speaking at a news conference late Friday, Vereshchuk said a civilian evacuation effort was underway for parts of the Kherson and Zaporizhzhia regions. Everyone understands all of this anyway." "You need to search for a way to leave, because our armed forces are coming to de-occupy," she said. Ukraine's deputy prime minister, Iryna Vereshchuk, appealed to residents of Russian-held territories in the south to evacuate so the occupying forces could not use them as human shields during a Ukrainian counteroffensive. In a later post, he claimed the bombardment of Luhansk was suspended because Ukrainian forces had destroyed ammunition depots and barracks used by the Russians. He is still attacking and shelling our lands with the same intensity as before", Haidai said. Analysts predicted Moscow's troops likely would take time to rearm and regroup.īut "so far, there has been no operational pause announced by the enemy. Last week, Russia captured the last major stronghold of Ukrainian resistance in Luhansk, the city of Lysychansk. Globus provides a robust and resumable way to transfer larger files or datasets. You can use the Globus service to perform larger data transfers between your local machine and the clusters.
Sean stopped me halfway through the bridge. We walked towards the water and began to cross a small bridge that connected two small islands. The sun had passed the horizon, but there was still a faint glow in the sky. After we ate the last spoon of our dessert, Sean next asked if I wanted to go for a walk by the water. As we enjoyed a long dinner, Sean seemed relaxed, but as if his mind was somewhere else. We were seated at a table beside the glass wall. It was a narrow restaurant, but on one side the walls were floor to ceiling glass. As we made our way we passed a small library filled with books that seemed to be as old as the country, Sean opened the door and we were greeted by another man in a tux. Sean grabbed my hand and guided me to a small door on the side. A marble staircase gives way to a lobby filled with red velvet chairs, ornate chandeliers, marble statues and a smell of an old log cabin. Men with long tailed tuxes, top hats and white gloves greet you as you enter through the gold and glass doors. It was a lavish hotel, from a different time. As I turned to Sean I saw him standing in front of a hotel called The Grand Hotel. The sea was calm, the winds had died down and the water walk ways were busy with people enjoy an evening stroll. It was about 9pm and I could still see the sun closing in on the horizon. When we arrived to our destination, I opened the door of the taxi and my eyes were filled with the view of Stockholm’s old town harbor. Well I got ready for the night and Sean called a cab and we were whisked into the city. I wondered what surprises were in store… but with him, I never could really know for sure what was going to happen. On the last night Sean, told me that the two of us were going to spend the night out, and that I should dress up. From the beginning of the trip until the end, we were running around sightseeing and visiting his relatives. ) We packed our bags and got ready for a fun week of sightseeing and family outings. ( During the month of June, in Stockholm the sun brightens the sky the entire night, never getting fully dark. This vacation was in June and Sean said that I had to see the other side of Sweden, and enjoy their long Summer nights. It was somewhat of a routine trip as Sean goes back to Sweden quite often to visit them, but different this time, as I had only been with him to Sweden in the Winter months. “Sean decided to take me on a trip to Stockholm Sweden to visit his grandparents. One of the best stories we have heard in our years of being wedding photographers yet, Sean’s romantic proposal took place while vacationing together and visiting his family abroad in Sweden… It was one of the most beautiful of stories and what an unbelievably elegant location for it to occur at too. Which we loved and were very impressed, thanks Sean! One of our favorite moments during their engagement session photography shoot was when Emily told us about Sean’s proposal that took place in June. When emailing each other about their session, the couple proposed a few new to M+M spots rich in their distinctive interests of history and culture. ) But when they are able to travel, Sean and Emily enjoy taking in each destination and learning of the local history of the location, as well as the local culture. Frequently spending time at destinations overseas, Sean told us “we travel abroad really whenever possible.” Emily was one to admit, life is pretty busy for the two of them, and they both work a lot “we are pretty much work alcoholics” she said ( which us at Miller + Miller could relate easily to. S+E’s personal interests are without a doubt strong in their enjoyment of traveling. 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There isn't as natural a way to mix column-agnostic aggregations (like count) with column-specific aggregations like the other two. I think pandas is more difficult for this particular example. # transmute(flights,įlights = flights.arr_delay - p_delayįlights = flights.gain / (flights.air_time / 60)įor me, dplyr's n() looked is a bit starge at first, but it's already growing on me. If I don't want it around I would have to explicitly drop it. To achieve this with pandas, you have to add the gain variable as another column in flights. # distinct(select(flights, origin, dest))įlights].drop_duplicates()ĭplyr's approach may be nicer here since you get to refer to the variables in subsequent statements within the mutate(). Extract distinct (unique) rows # distinct(select(flights, tailnum))Īrray(, dtype=object)įYI this returns a numpy array instead of a Series. Also, rename (the pandas version) can be applied to the Index. So it's often used with a function to perform a common task, say df.rename(columns=lambda x: x.replace('-', '_')) to replace any dashes with underscores. Pandas is more verbose, but the the argument to columns can be any mapping. Filter rows with filter(), query() # filter(flights, month = 1, day = 1) Others, like sample_n, just haven't been implemented yet. For example summarise is spread across mean, std, etc. Some of the "missing" verbs in pandas are because there are other, different ways of achieving the same goal. Warnings.warn("The rmagic extension in IPython is deprecated in favour of "ĭata: nycflights13 flights = pd.read_csv("flights.csv", index_col=0)ĭplyr has a small set of nicely defined verbs. If available, that will be loaded instead. Users/tom/Envs/p圓/lib/python3.4/site-packages/IPython/extensions/rmagic.py:693: UserWarning: The rmagic extension in IPython is deprecated in favour of rpy2.ipython. # Some prep work to get the data from R and into pandas I'm working on a better layout to show the two packages side by side.īut for now I'm just putting the dplyr code in a comment above each python call. We'll work through the introductory dplyr vignette to analyze some flight data. Whether you're an R user looking to switch to pandas (or the other way around), I hope this guide will help ease the transition. In a future post I plan to do a run through (mainly for myself when I forget things) a few things like this including quosures.The comparison is just on syntax (verbage), not performance. my_rename Ģ 3 4 my_rename(temp, x3) # A tibble: 2 x 2 With the new info we can rewrite the function to use glue notation and assignment with the := operator. After a little looking I found the necessary information on the use of tidy selection in rename() - you can read it here. Not quite what we were looking for and it doesn’t produce an error. my_rename Ģ 3 4 my_rename(temp, x2) # A tibble: 2 x 2 However, things get a little trickier if you want to do this inside another function. Now we’ve got some data we can rename() a column. More on that in a minute, first let’s create some data and see what we’re trying to do. It was a pretty simple function but still created a few errors until I found the necessary bit in the documentation. There are now depreciated and so I was updating my code. So instead of using rename() I was using rename_(). This came about because of a change in a older 1 version of dplyr which had functions specifically for use inside your own functions. Today I rewrote some old code and came across something that I thought I would write down because I’m pretty sure I’ll forget it if I don’t! 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