errorbar

问题 I am currently using the following code to plot errorbar graphs. plt.errorbar(log_I_mean_, log_V2_mean_, xerr, yerr, '.') However, the end result shows a circular point in the center of each errorbar intersection point. How can I plot just the errorbars without the central point, as is required in scientific work? 回答1: use 'none' instead of '.' : import matplotlib.pyplot as plt x = np.arange(0.1, 4, 0.5) y = np.exp(-x) yerr = 0.1 + 0.2*np.sqrt(x) xerr = 0.1 + yerr plt.figure() plt.errorbar(x,

问题 I have a plot in which some data is represented by a scatter plot with error bars and I want to fit a curve to it. However, no matter where in the code I plot the curve, the error bars float on top of it. I want the fitted curves to display in front of the error bars because otherwise I can't see it. Here is a simple example of the issue: import numpy as np import matplotlib.pyplot as plt import matplotlib x = np.arange(1,10) r = np.random.random(x.size) fig1, ax = plt.subplots() ln1 = ax

问题 I have a plot in which some data is represented by a scatter plot with error bars and I want to fit a curve to it. However, no matter where in the code I plot the curve, the error bars float on top of it. I want the fitted curves to display in front of the error bars because otherwise I can't see it. Here is a simple example of the issue: import numpy as np import matplotlib.pyplot as plt import matplotlib x = np.arange(1,10) r = np.random.random(x.size) fig1, ax = plt.subplots() ln1 = ax

问题 My question is related to this question. I want "2014" in the 4-year facet. I tried to repeat but my code doesn't give what I want. Annotating text on individual facet in ggplot2 This is my data structure(list(Rot = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("2-year", "3-year", "4-year"), class = "factor"), Rot.Herb = structure(c(3L, 3L, 4L, 4L, 13L, 13L, 14L, 14L, 5L,

问题 I need to plot a grouped barplot with different error bars for each bar in each group. I have managed to plot the chart and add the error bars but they are not positioned correctly on the graph (see below) I know I know I need to somehow tell the errorbars which Genotype they need to be attached to, but I'm not quite sure how. I have tried to use this: Grouped barplot in R with error bars but can't work out what's different. Code: ggplot(data=leaf_level) + geom_bar(aes(x=factor(DAS), y=Total

问题 I'm trying to get the errorbars to show at the confidence interval's limits, and not in the center. What I want is this: but what I'm getting is this: To plot the bar chart I used this: import pandas as pd import numpy as np import matplotlib.pyplot as plt np.random.seed(12345) df = pd.DataFrame([np.random.normal(32000,200000,3650), np.random.normal(43000,100000,3650), np.random.normal(43500,140000,3650), np.random.normal(48000,70000,3650)], index=[1992,1993,1994,1995]) df1 = df.T df1.columns

问题 I'm trying to get the errorbars to show at the confidence interval's limits, and not in the center. What I want is this: but what I'm getting is this: To plot the bar chart I used this: import pandas as pd import numpy as np import matplotlib.pyplot as plt np.random.seed(12345) df = pd.DataFrame([np.random.normal(32000,200000,3650), np.random.normal(43000,100000,3650), np.random.normal(43500,140000,3650), np.random.normal(48000,70000,3650)], index=[1992,1993,1994,1995]) df1 = df.T df1.columns

问题 I am having trouble getting these lines between my data points to go away! It seems to be whenever I try to add error bars it does this. If you look at the graphs, the first is without the errorbar line, and the second is with it. Is this a usual side effect of pyplot errorbar? Does anyone know why it does this, or how to make it go away? plt.figure() plt.scatter(x, y, label = 'blah') plt.errorbar(x, y, yerr = None, xerr = x_err) plt.plot(x, f) #this is a line of best fit 回答1: You can set the

问题 I have the following dataframe in pandas: >>>name Hour trt_level stress date value 0 D43 9 H control 2019-06-07 0.4561 1 D43 10 H control 2019-06-07 0.3216 2 D42 8 M stress 2019-06-07 0.2143 3 D42 9 M stress 2019-06-07 0.1342 4 D21 8 L stress 2019-06-07 0.3214 ... I want to create line chart with error-bar,with mse/std, something that will look like this: from : https://matplotlib.org/1.2.1/examples/pylab_examples/errorbar_demo.htmlbut in my case: the X-axis should be hour, the y axis the

问题 just a quick question, where I couldn't find anything helpful in the plt.errorbar documentation I want to plot values with error bars: import matplotlib.pyplot as plt plt.errorbar(1, 0.25, yerr=0.1, uplims=True, lolims=True, fmt='o') plt.show() But I would like to have error bars with a simple horizontal line instead of arrows at the ends. But there is no "capmarker" or similar option in the plt.errorbar() function 回答1: Remove the uplims=True and lolims=True ; both limits are plotted by