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library(tidyverse) | |
library(ggdebug) | |
calls_use_method <- function(expr) { | |
if (rlang::is_call(expr, "UseMethod")) { | |
TRUE | |
} else if (is.call(expr)) { | |
any(map_lgl(expr, calls_use_method)) | |
} else { | |
FALSE |
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library(ggplot2) | |
library(dplyr) | |
library(tibble) | |
SortingRange <- ggproto( | |
"SortingRange", ggplot2:::Range, | |
counted_range = tibble(value = character(0), n = integer(0)), | |
train = function(self, x, ...) { | |
new_counted_range <- tibble(value = x) %>% |
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# remotes::install_github("paleolimbot/ggplot2@2b2f4fb9ad8ada3c2f614185441db1d790b8db2e") | |
library(ggplot2) | |
ggplot(mpg, aes(class, hwy)) + | |
geom_point() + | |
guides( | |
y = guide_axis(order = 2), | |
y.sec = guide_axis(position = "left", order = 2, angle = 45) | |
) |
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# remotes::install_github("paleolimbot/ggplot2@2b2f4fb9ad8ada3c2f614185441db1d790b8db2e") | |
library(ggplot2) | |
# plot with overlapping text | |
p <- ggplot(mpg, aes(cty * 100, hwy * 100)) + | |
geom_point() + | |
facet_wrap(vars(class)) | |
# axis guides can now be customized! |
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library(ggplot2) | |
symmetric_range <- function(range) { | |
max_abs <- max(abs(range)) | |
c(-max_abs, max_abs) | |
} | |
ggplot(mpg, aes(cty, hwy)) + | |
geom_point() + |
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library(ggplot2) | |
library(ggdebug) # remotes::install_github("paleolimbot/ggdebug") | |
# the classic ggplot! | |
ggplot(mpg) + | |
geom_point(aes(x = displ, y = hwy, colour = class)) | |
# ...is really this: | |
p <- ggplot(mpg) + |
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library(tidyverse) | |
# best case: your data is already in the right form | |
perfect_data <- tibble( | |
day_in_year = c(1, 101, 201, 1, 101, 201, 1, 101, 201), | |
depth = c(1, 1, 1, 2, 2, 2, 3, 3, 3), | |
temp = c(15, 16, 17, 14, 15, 16, 13, 14, 15) | |
) | |
ggplot(perfect_data, aes(x = day_in_year, y = depth, fill = temp)) + |
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import sys | |
from PyQt5.QtWidgets import QMainWindow, QApplication | |
class MainWindow(QMainWindow): | |
def __init__(self, parent=None): | |
super().__init__(parent) |
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library(tidyverse) | |
files <- crossing( | |
tibble(station_id = 42583, timeframe = 1), | |
tibble(year = 2018:2019), | |
tibble(month = 1:12) | |
) %>% | |
mutate( | |
url = glue::glue( | |
"http://climate.weather.gc.ca/climate_data/bulk_data_e.html?format=csv&Month={month}&stationID={station_id}&submit=Download%20Data&timeframe=1&Year={year}" |