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问题 I have run 3 Python scripts and each of them generated one curve in the plot. Each curve is made up of hundreds of small line segments. Thus, each curve is drawn by a series of plot() instead of one. But all these plot() share the same parameters (e.g. the color, style of one curve is consistent). Thus, I think it is still possible to easily remove all the segments drawn by particular one script. I find that the curve generated by the most-recently-run script is erroneous. Therefore, I wish

问题 I have run 3 Python scripts and each of them generated one curve in the plot. Each curve is made up of hundreds of small line segments. Thus, each curve is drawn by a series of plot() instead of one. But all these plot() share the same parameters (e.g. the color, style of one curve is consistent). Thus, I think it is still possible to easily remove all the segments drawn by particular one script. I find that the curve generated by the most-recently-run script is erroneous. Therefore, I wish

问题 I can draw relative frequency histogram in R, using lattice package: a <- runif(100) library(lattice) histogram(a) I want to get the same graph in ggplot . I tried dt <- data.frame(a) ggplot(dt, aes(x = a)) + geom_bar(aes(y = ..prop..))+ scale_y_continuous(labels=percent) but it doesn't work like that. What I should change in the code? Calculating relative frequency before graph is not an option for me. 回答1: You want a histogram, not a barplot, so: ggplot(dt, aes(x = a)) + geom_histogram(aes

问题 I am using python to plot a pandas DataFrame I set the color for plotting like this: allDf = pd.DataFrame({ 'x':[0,1,2,4,7,6], 'y':[0,3,2,4,5,7], 'a':[1,1,1,0,0,0], 'c':['red','green','blue','red','green','blue'] },index = ['p1','p2','p3','p4','p5','p6']) allDf.plot(kind='scatter',x='x',y='y',c='c') plt.show() However it doesn't work (every point has a blue color) If I changed the definition of DataFrame like this 'c':[1,2,1,2,1,2] It appears color but only black and white, I want to use blue

问题 I am using python to plot a pandas DataFrame I set the color for plotting like this: allDf = pd.DataFrame({ 'x':[0,1,2,4,7,6], 'y':[0,3,2,4,5,7], 'a':[1,1,1,0,0,0], 'c':['red','green','blue','red','green','blue'] },index = ['p1','p2','p3','p4','p5','p6']) allDf.plot(kind='scatter',x='x',y='y',c='c') plt.show() However it doesn't work (every point has a blue color) If I changed the definition of DataFrame like this 'c':[1,2,1,2,1,2] It appears color but only black and white, I want to use blue

问题 I am using python to plot a pandas DataFrame I set the color for plotting like this: allDf = pd.DataFrame({ 'x':[0,1,2,4,7,6], 'y':[0,3,2,4,5,7], 'a':[1,1,1,0,0,0], 'c':['red','green','blue','red','green','blue'] },index = ['p1','p2','p3','p4','p5','p6']) allDf.plot(kind='scatter',x='x',y='y',c='c') plt.show() However it doesn't work (every point has a blue color) If I changed the definition of DataFrame like this 'c':[1,2,1,2,1,2] It appears color but only black and white, I want to use blue

问题 I'm following up on this answer . I'm wondering if there is a way to set the default for argument rug to FALSE and argument multiline to TRUE in the plots generated by library(effects) as, for example, shown below in the code? library(effects) m <- lm(Fertility ~ Examination*Education, data = swiss) plot(allEffects(m), rug = FALSE, multiline = TRUE) # By default, change `rug = FALSE` # `multiline = TRUE ` 回答1: I think if you're just trying to add those two options to @MrFlick's answer you

问题 I am running a zero-inflated negative binomial regression model using the function zeroinfl from the pscl package. I need to exclude NA's from the model in order to be able to plot the residuals against the dependent variable later in the analysis. Therefore, I want to set na.action="na.exclude" . I can do this without any problem for a non-zero-inflated negative binomial regression model (using glm.nb from the glm package), eg. fm_nbin <- glm.nb(DV ~ factor(IDV) + contr1 +contr2 + contr3,

问题 I want to plot my Geopandas df on a map. as a background i want a (road) map of the area. loving the OSMnx package, i'm trying to figure out how to use it's output (shapefile? network?) as my plot background import osmnx as ox G= ox.core.graph_from_place('Chengdu City', network_type='all_private', simplify=True, retain_all=False, truncate_by_edge=False, name='unnamed', which_result=1, buffer_dist=None, timeout=180, memory=None, max_query_area_size=2500000000, clean_periphery=True,

问题 Hey I am trying to create a scatter plot with a slider that updates the plot as I slide across. This is my code so far. It draws a scatter plot and a slider but as I move it around, nothing happens. I suspect that the problem is with the .set_ydata bit but I can't seem to find how to do it otherwise on the Internet. import numpy as np from matplotlib.widgets import Slider from pylab import plot, show, figure, scatter, axes, draw fig = figure() ax = fig.add_subplot(111) x, y = np.random.rand(2