Tag: 18

how to make a table with unique count and count + percentage information

Post author By Full Stack
Post date June 1, 2020
No Comments on how to make a table with unique count and count + percentage information

I am a r beginner. Please pardon me if this question sounds silly. If I have a data set like this: x<-data.frame( “ID”=c(21,17,21,19,22,21,26,22,18, 15), “sick”=c(T,T, F, T,T,F, T,T, T, F), “recover”=c(T,T,T,F,F,T,T,T,F,F)) and I want to make a table out of it, something looks like: Note unique count ID is 7, event count is 10. what […]

Tags "\t", "recover"=c(T, "sick"=c(T, 15, 17, 18, 19, 21, 22, 26, event count is 10. what should I do in order to make such table? Is it possible to make it with kable so I can format it nicely? Thanks., f: '' }, F)) and I want to make a table out of it, I am a r beginner. Please pardon me if this question sounds silly. If I have a data set like this: x<-data.frame( "ID"=c(21, something looks like: Note unique count ID is 7

Mastering Development

Minimization problem with linking constraints in R

Post author By Full Stack
Post date June 1, 2020
No Comments on Minimization problem with linking constraints in R

How should I incorporate the linking constraints into the optimization problem formulation in equations 1 – 4 where Y_i’s are binary variables? minimize 22X11 + 20.5X12 + 21X13 + 19X14 + 21X21 + 21X22 + 18X23 + 17X24 + 22X31 + 24X32 + 22X33 + 23X34 + 22X41 + 16X42 + 17X43 + 17.5X44 + […]

Mastering Development

3D bar plot with dates, strings and numbers in 3 axes with matplotlib in python

Post author By Full Stack
Post date May 31, 2020
No Comments on 3D bar plot with dates, strings and numbers in 3 axes with matplotlib in python

I have three lists as mentioned below. xx = [‘TT’, ‘AN’, ‘AP’, ‘AR’, ‘AS’, ‘BR’, ‘CH’, ‘CT’, ‘DN’, ‘DD’, ‘DL’, ‘GA’, ‘GJ’, ‘HR’, ‘HP’, ‘JK’, ‘JH’, ‘KA’, ‘KL’, ‘LA’, ‘LD’, ‘MP’, ‘MH’, ‘MN’, ‘ML’, ‘MZ’, ‘NL’, ‘OR’, ‘PY’, ‘PB’, ‘RJ’, ‘SK’, ‘TN’, ‘TG’, ‘TR’, ‘UP’, ‘UT’, ‘WB’] yy = [datetime.date(2020, 5, 27), datetime.date(2020, 5, 28), […]

Tags -11, -32, .97], '-ar', '177', 'AP'), 'MH', 'MP', 'MZ', 'WB'] yy = [datetime.date(2020, " 827", "/", "14", "as", "D":"D", "GA", "HP", "JH"?, "Út", ('.py', ('SK', ("MN", ("TN", [ 82, {tg: ''}, 0, 1, 10, 101, 1024], 107, 1105, 115, 1163, 117, 123, 128, 131, 134, 135, 141, 149, 162, 169, 17, 174, 179, 18, 183, 19, 192, 2, 20, 202, 206, 216, 217, 237, 246, 248, 251, 252], 256, 2598, 26, 267, 2682, 27, 275, 277, 28, 280, 29, 2940, 298, 3, 30)] zz = [7246, 31, 317] I want to plot bar3d plot using matplotlib in python such that x axis will be xx, 33, 34, 344, 36, 367, 372, 376, 39, 4, 40, 412, 42, 5, 58, 6, 62, 63, 67, 68, 69, 7, 7254, 74, 76, 792, 8, 8138, 817), 8304, 85, 874), 9, 938, 96, an, br', ch, ct, d\n", datetime.date(2020, dl, dx, dx{"dx"}, dy, dy{"dy"}; };, dz, dz) File "", dz=dz, g(j), HR: "", I got errors ax.bar3d(xx, I have three lists as mentioned below. xx = ['TT', I tried dx = np.ones(len(xx)) dy = np.ones(len(yy)) dz = np.ones(len(zz)) # doubt ax.bar3d(xx, i.e. date wise plotting. Following tutorials, in _broadcast_shape b = np.broadcast(*args[:32]) ValueError: shape mismatch: objects cannot be broadcast to a single shape I think I did n, in bar3d np.atleast_1d(x), in broadcast_arrays File "/home/vega/anaconda3/envs/tf01/lib/python3.7/sitepackages/numpy/lib/stride_tricks.py", in broadcast_arrays shape = _broadcast_shape(*args) File "/home/vega/anaconda3/envs/tf01/lib/python3.7/sitepackages/numpy/lib/stride_tricks, JK, k='a', KL, la, ld, line 191, line 2365, line 264, line 6, ML, nl, or, pB, RJ, shade=True) File "/home/vega/anaconda3/envs/tf01/lib/python3.7/sitepackages/mpl_toolkits/mplot3d/axes3d.py", shade=True) Obviously, tr, up, y, y axis will be yy to plot **zz*, y="y", z, ZZ

Linux Mastering Development

script help to extract value

Post author By Linux Questions
Post date May 29, 2020
No Comments on script help to extract value

I have the following text file that I want to manipulate add_journal_volume group=”RPCG_VLS_PSALTUXP201″ copy=”TW_PROD_VLS” uid=”60,06,01,60,01,d0,40,00,37,1e,85,5e,17,9c,ea,11″ uid_hash=”0xfd81565b74f160c3″ -f; add_replication_volume group=”RPCG_VLS_PSALTUXP201″ copy=”VNX057_CRR_PSALTUXP201″ replication_set=”RSet0″ uid=”60,06,01,60,0e,60,3c,00,16,f5,56,7f,02,d8,e8,11″ uid_hash=”0xd7c77496f2520fbc” -f; add_replication_volume group=”RPCG_VLS_PSALTUXP201″ copy=”VNX057_CRR_PSALTUXP201″ replication_set=”RSet1″ uid=”60,06,01,60,0e,60,3c,00,18,f5,56,7f,02,d8,e8,11″ uid_hash=”0x62d865f2be9ff409″ -f; Basically I just want to return as column delimited text using “;” RPCG_VLS_PSALTUXP201;TW_PROD_VLS;;60,06,01,60,01,d0,40,00,37,1e,85,5e,17,9c,ea,11 RPCG_VLS_PSALTUXP201;VNX057_CRR_PSALTUXP201;RSet0;60,06,01,60,0e,60,3c,00,16,f5,56,7f,02,d8,e8,11 RPCG_VLS_PSALTUXP201;VNX057_CRR_PSALTUXP201;RSet1;60,06,01,60,0e,60,3c,00,18,f5,56,7f,02,d8,e8,11 The tricky part is those add_journal_volume line there is […]

Tags .01, '06', '5e', 'd':8, 'E8', "1e", "3c", "ea", [56, 00, 02, 0e, 11 RPCG_VLS_PSALTUXP201;VNX057_CRR_PSALTUXP201;RSet0;60, 11 RPCG_VLS_PSALTUXP201;VNX057_CRR_PSALTUXP201;RSet1;60, 11 The tricky part is those add_journal_volume line there is no replication_set so in that case I just want to leave it blank., 11" uid_hash="0x62d865f2be9ff409" -f; Basically I just want to return as column delimited text using ";" RPCG_VLS_PSALTUXP201;TW_PROD_VLS;, 11" uid_hash="0xd7c77496f2520fbc" -f; add_replication_volume group="RPCG_VLS_PSALTUXP201" copy="VNX057_CRR_PSALTUXP201" replication_set="RSe, 11" uid_hash="0xfd81565b74f160c3" -f; add_replication_volume group="RPCG_VLS_PSALTUXP201" copy="VNX057_CRR_PSALTUXP201" replication_set="RSe, 16, 17, 18, 37, 40, 60, 7f, 85, 9C, d=0, F5, I have the following text file that I want to manipulate add_journal_volume group="RPCG_VLS_PSALTUXP201" copy="TW_PROD_VLS" uid="60

Mastering Development

Difficulty aligning xticks to edge of Histogram bin

Post author By Full Stack
Post date May 29, 2020
No Comments on Difficulty aligning xticks to edge of Histogram bin

I am trying to show the frequency of my data throughout the hours of the day, using a histogram, in 3 hour intervals. I therefore use 8 bins. plt.style.use(‘seaborn-colorblind’) plt.figure(figsize=(10,5)) plt.hist(comments19[‘comment_hour’], bins = 8, alpha = 1, align=’mid’, edgecolor = ‘white’, label = ‘2019’, density=True) plt.title(‘2019 comments, 8 bins’) plt.xticks([0,3,6,9,12,15,18,21,24]) plt.xlabel(‘Hours of Day’) plt.ylabel(‘Relative Frequency’) […]

Mastering Development

Distance calculation optimization in R

Post author By Full Stack
Post date May 29, 2020
No Comments on Distance calculation optimization in R

I would like to know if there is any way to optimize the distance calculation process below. I left a small example below, however I am working with a spreadsheet with more than 6000 rows, and it takes considerable time to calculate the variable d. It would be possible to somehow adjust this to have […]

Mastering Development

How to concatenate two different into one array [duplicate]

Post author By Full Stack
Post date May 28, 2020
No Comments on How to concatenate two different into one array [duplicate]

I have two arrays of arrays: [array[(1, 2, 3)], array[(4, 5, 6, 7)], array[(8, 9, 9.5)]] [array[(10, 11, 12)], array[(13, 14, 15)], array[(16, 17, 18, 19)]] What I need to have is: [[array([1, 2, 3]), array([10, 11, 12])], [array([4, 5, 6, 7]), array([13, 14, 15])], [array([7, 8, 9.5]), array([16, 17, 18, 19])]] I can do […]

Mastering Development

limited size dates groups by interval

Post author By Full Stack
Post date May 27, 2020
No Comments on limited size dates groups by interval

I have a data frame with dates and I would like to group dates by interval of 9 days, but the group size should be of 7 dates maximum. So if we find 9 days in the interval, the 2 last dates should roll to the next group and so on. And the starting date […]

Tags 18, 20, 39)) x x date 1 2020-04-17 2 2020-04-27 3 2020-04-28 4 2020-04-29 5 2020-04-30 6 2020-05-01 7, any help would be really apprectiated, but the group size should be of 7 dates maximum. So if we find 9 days in the interval, I have a data frame with dates and I would like to group dates by interval of 9 days, nothing worked from what I tried so far, start_date + 10:16, start_date + c(17, start_date + c(30, thank you :), the 2 last dates should roll to the next group and so on. And the starting date of an interval can only be an existing date of the dataset.

Ask Engineering

ESP-32 won’t communicate at all

Post author By Math Dev
Post date May 27, 2020
No Comments on ESP-32 won’t communicate at all

I’m trying to program an ESP32-WROOM-32 on my own PCB. I’m an amateur. I asked a related question about how to program an ESP32 using an Arduino a few days ago. I’ve been experimenting with it and no matter what I try I always get “Timed out waiting for packet header”. I hook everything up […]

Tags -23, "14", 15, 16, 17, 18, 19, 21, 22, and 25 hooked up to different things but none of them are doing anything. I've spent 5 hours trying various combinations. I'm pretty sure I, and EN and checking the voltage on the ESP32 itself. It's good. The 3V makes it to the ESP32. The only one of note is EN. I've carefully insp, EN connected to 3V3, EN connected to ground, etc). To be clear though I followed the instructions in that article by default. 3V3 -> 3V3 GND -> GND IO0 -> GND EN -> 3V3 TX -> TX RX, I have a USB microscope and I don't see any bridges anywhere when I do a visual inspection. To make sure I could get it to work I tried a few, I'm trying to program an ESP32-WROOM-32 on my own PCB. I'm an amateur. I asked a related question about how to program an ESP32 using an Ard, IO0, IO0 connected to 3V3, maybe I fried the ESP32. In any case I probably tried each scenario 5 times before I made that particular mistake., tx

Mastering Development

How to calculate the time spent at location for each unique ID per day?

Post author By Full Stack
Post date May 26, 2020
No Comments on How to calculate the time spent at location for each unique ID per day?

I’m currently working on the smartGPA dataset (https://studentlife.cs.dartmouth.edu/smartgpa.pdf) and I was trying to calculate the time spend studying at a location at each day for each student (UID) to eventually get a mean study time for each student. I have timestamp data and location data for each student based on wifi location data. For example, […]

Tags -11, -23, -32, -38, -41, -48, .44, .53, .Label = c("(0, .Label = c("mon", .Label = c("nig", 'EVE', 'Sun'), "14", "aft", "data.frame"), "Fri", "in[baker-berry]", "in[dana-library]", "mor", "POSIXt"), "Sat, "SL_tbl", "tbl_df", "tbl", "Thu", "Tue", "Wed", [ 55, [56, 1, 10, 11 since their time difference is larger than 15 minutes. structure(list(timestamp = c(1364385354L, 12, 12L, 13, 1364385374, 1364385374L, 1364385384, 1364385384L, 1364385454, 1364385454L, 1364385763, 1364385763L, 1364385856, 1364385856L, 1364385868, 1364385868L, 1364385934, 1364385934L, 1364392663, 1364392663L, 1364392681, 1364392681L, 1364397495, 1364397495L, 1364397505, 1364397505L, 1364397923, 1364397923L, 1364411988, 1364411988L, 1364412078, 1364412078L, 1364412163, 1364412163L, 1364412406, 1364412406L, 1364412453, 1364412453L, 1364412968, 1364412968L, 1364413005), 1364413005L), 13L, 14L, 15, 16, 16L, 17, 18, 19, 1L, 2, 20, 20L ), 21, 22, 24, 25, 26, 27, 28, 29, 2L, 3, 30, 31, 33, 34, 35, 36, 37, 39, 3L, 4, 40, 42, 43, 45], 46, 47, 49, 4L, 5, 50, 51, 52, 54, 57, 58, 59, 6, 7, 8, 9, and discard rows 9, class = "factor"), class = c("POSIXct", class = c("timestamp_SL_tbl", day = c(3, epoch = structure(c(2L, hour = c(12L, I would sum up timediff from row 1 till 8, I'm currently working on the smartGPA dataset (https://studentlife.cs.dartmouth.edu/smartgpa.pdf) and I was trying to calculate the time spen, in the data you can see that a student spends time at the library from 6:55:54 until 7:05:34, location = c("in[baker-berry]", row.names = c(NA, schema = "sensing", table = "wifi_location"), then I need to stop summing up the time difference and start over again for a new study instance. Is there a simple way to do this? For examp, then I want to subtract those times to get the time spend studying. I created an extra column which subtracts row x+1 - row x = time differe, time = structure(c(1364385354, tzone = "EST", uid = structure(c(1L, week = c(1, weekday = structure(c(3L