To plot two plots (or more) in one figure, you can use the facet_grid function in ggplot2 (http://docs.ggplot2.org/current/facet_grid.html for more info). You can choose on which trait the plots will be facetted by using a formula. On the left hand side you can mention rows (graphs under each other) and on the left hand side … Read more
Try this: public static void main(String[] args) { String input = “YYYCZZZZGG”; Map<Character, Integer> map = new HashMap<Character, Integer>(); // Map // to store character and its frequency. for (int i = 0; i < input.length(); i++) { Integer count = map.get(input.charAt(i)); // if not in map if (count == null) map.put(input.charAt(i), 1); else map.put(input.charAt(i), … Read more
You can try library(tidyverse) d %>% gather(key, value, -PtsAgRdTm) %>% ggplot(aes(x=PtsAgRdTm, y=value, fill=key)) + geom_col(position = “dodge”) You transform the data from wide to long using tidyr’s gather function, then plot the bars in a “dodge” or a “stack” way. 3 solved ggplot Grouped barplot with R
import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv(‘dataset.csv’) data[‘sample_date’] = pd.to_datetime(data[‘sample_date’]) data[‘sample_date’].value_counts().sort_index().plot(kind=’bar’) # Use sort_index() plt.tight_layout() plt.show() 0 solved FREQUENCY BAR CHART OF A DATE COLUMN IN AN ASCENDING ORDER OF DATES
This is how I would handle this: def recolorBars(self, event): y = event.ydata for i, rect in enumerate(self.rects): t, p, _ = sms.DescrStatsW(self.df[self.df.columns[i]]).ttest_mean(y) rect.set_color(self.cpick.to_rgba((1 – p) * t / abs(t))) When iterating through the bars, first test the value against the sample mean, then set the color based on p-value and test statistic t: (1 … Read more
with base R, you can use the function arrows() : barCenters <- barplot(height = Ymeans12stdev$mean, main = “Average Time per Group”, xlab = “Group”, ylab = “Time”) arrows(barCenters, Ymeans12stdev$mean-Ymeans12stdev$sd, barCenters, Ymeans12stdev$mean+Ymeans12stdev$sd,angle=90,code=3) the argument angle=90 specifies to draw “flat” arrows (i.e. a horizontal bar on top of a vertical one) and the argument code=3 specifies to … Read more
the issue is that the bar_label is a new feature and available in matplotlib version 3.4 or later – ref this link. Check the version of matplotlib using import matplotlib print(‘matplotlib: {}’.format(matplotlib.__version__)) Upgrade to v3.4 or latest version using pip install matplotlib –upgrade. You will need to include the code in the link you provided … Read more