The plt.plot (or ax.plot) function will automatically set default x and y limits. If you wish to keep those limits, and just change the stepsize of the tick marks, then you could use ax.get_xlim() to discover what limits Matplotlib has already set.
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I am trying to plot a histogram that lines up every x value with the y value on the plot. I have tried to use multiple resources, but unfortunately I wasn't able to find anything. This is the best way I could code to make a histogram. x = (1,2,3,4,5) y = (1,2,3,4,5) h=plt.hist(x,y) plt.axis([0, 6, 0, 6]) plt.show()
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This is strange. It does in my version of matlab (7.6.0.324 (R2008a)) (you can retrieve version number with the version command). If you want to place the x-axis somewhere in the middle of the picture, this is not possible in my version: the x-axis is either at the top or at the bottom (you can set this with the"XAxisLocation" property). –
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the user needs the x, y axis to be emphasized, but your solution seems only clip the axis. this does not provide the solution to the question – armamut Commented Jan 18, 2021 at 19:29
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I have tried plt.xlabel('X axis title') and plt.ylabel('Y axis title) and several other codes but none are working. I'm just trying to label the x, y axis. python
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ggplot(data=df_subset,aes(x=Part,y=Removal_Frequency,fill=Part))+geom_bar(stat="identity")+theme(axis.text.x = element_blank()) I went for this solution in my case as I had many bars in bar chart and I was not able to find a suitable font size which is both readable and also small enough not to overlap each other.
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I want to use bioconductor's hexbin (which I can do) to generate a plot that fills the entire (png) display region - no axes, no labels, no background, no nuthin'.
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These two lines set the limits of the x and y axes respectively. For the x axis, the first argument l sets the left most value, and the second argument r sets the right most value. For the y axis, the first argument b sets the bottom most value, and the second argument t sets the top most value.
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When using the object oriented API, the Axes object has two useful methods for removing the axis text, set_xticklabels() and set_xticks(). Say you create a plot using . fig, ax = plt.subplots(1) ax.plot(x, y) If you simply want to remove the tick labels, you could use. ax.set_xticklabels([]) or to remove the ticks completely, you could use
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One thing you can do is to set your axis range by yourself by using matplotlib.pyplot.axis. matplotlib.pyplot.axis. from matplotlib import pyplot as plt plt.axis([0, 10, 0, 20]) 0,10 is for x axis range. 0,20 is for y axis range. or you can also use matplotlib.pyplot.xlim or matplotlib.pyplot.ylim. matplotlib.pyplot.ylim. plt.ylim(-2, 2) plt ...
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