20,200)data2=np.random.normal(90,25,200)# 创建箱线图plt.figure(figsize=(10,6))plt.boxplot([data1,data2],labels=['Group 1','Group 2'])plt.title('Two Boxplots on Same Axes - how2matplotlib.com')plt.ylabel('Values')plt.show()...
matplotlib.pyplot is a collection of command style functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc. m...
If x and/or y are 2D arrays a separate data set will be drawn for everycolumn. If both x and y are 2D, they must havethe same shape. If only one of them is 2D withshape (N, m)the other must havelength Nand will be used for every data set m. importpandasaspd importmatplotlib....
Using custom fonts adds a nice touch to your graph and make it shine among all the other plots using defaults. Thesimplest wayto customize your fonts is with thePyFontslibrary, which lets youload any font from the webwith just a single line of code!
Sometimes you want to do the smoothed regression plots with interactions per groups. I have two helper functions to do this. One is group_rcs_plot. Here I use the good old iris data to illustrate, which I will explain why in a second. #Superimposing rcs on the same plot iris = sns....
To create multiple plots , we usesubplots()function. Next, we define data coordinates. Then, we useplot()function to plot a line graph. After this, we create two empty list defininghandelsandlabels. If there are more lines and labels in a single subplot, the listextendfunction is used to...
Draw two plots on the same figure: import matplotlib.pyplot as plt import numpy as np #day one, the age and speed of 13 cars: x = np.array([5,7,8,7,2,17,2,9,4,11,12,9,6]) y = np.array([99,86,87,88,111,86,103,87,94,78,77,85,86]) ...
Our graph now shows the low and higher regions more clearly. This is because we used the middle anchor pint to declare a sort of “neutral” zone. Another thing we can do with colormaps is reusing the same color. There are certain situations where such a trick will come in handy. Such...
It is a box containing a symbol and a label for each series in the graph. A series could be a line in a line chart, a bar in a bar chart, and so on. The legend is helpful when you have multiple data series on the same plot, and you want to distinguish between them. In the ...
title("My Graph") plt.show() To perform the same using the object-oriented interface: filter_none fig, ax = plt.subplots() ax.plot([1,2]) ax.set_title("My Graph") plt.show() Both pieces of code produce the following plot: Adding axis labels To add axis labels using the ...