matplotlib

问题 I am generating a heatmap using seaborn which has a logarithmic scale. How can I change the colorbar labels from scientific notation to plain number. import math from matplotlib.colors import LogNorm vmax=2 vmin=0.5 center = (vmax+vmin)/2 log_norm = LogNorm(vmin=vmin, vmax=vmin) cbar_ticks = [0.5, 0.66, 1, 1.5, 2] ax = sns.heatmap(corr, square=True, mask=mask, cmap=cmap_type, linewidths=.5, vmax=vmax, vmin=vmin, norm=log_norm, cbar_kws={"ticks": cbar_ticks}, center=center) Edit: The following

问题 The title is self explanatory, could not find how to implement it. For the axis ticks format similar command looks like this: ax.ticklabel_format(useMathText=True) , there is no problem with this one, it works. But for the colorbar's ticks to make them appear in the MathText format I could not find how to implement it. I have tried to pass the useMathText=True as an arg into the cbar.ax.tick_params() and cbar = plt.colorbar() but that did not work. to recreate: import numpy as np import

问题 I'm trying to create a pdf using Python's reportlab module. I generated a png with matplotlib and saved it in the pdf file using report labs canvas.drawImage method. My problem is that the generated png file is very fuzzy. I specified the size in inches with plt.figure(figsize=(20,10)) and saved the picture with the plt.savefig method. This works out perfectly (except the fuzzy quality of the picture). But when I increase the dpi within the savefig method the size of the picture increases. Is

问题 I'm using sns.scatterplot function to analyze some data. It would be very helpful for me if I could pick an object on the plot by clicking on it and execute a function. Matplotlib has onpick event which does the trick, but I couldn't find how could I do the same with Seaborn. It is using Matplotlib internally, so I think that it is possible somehow to attach onpick handler to it. The reason I'm using Seaborn instead of basic Matplotlib plot is that I need hue parameter. Here is basically the

问题 How can only the boundary values be extracted , or returned, from .predict , for sklearn.neighbors.KNeighborsClassifier()? MRE import pandas as pd import numpy as np from sklearn.datasets import load_iris from sklearn.neighbors import KNeighborsClassifier import seaborn as sns import matplotlib.pyplot as plt from matplotlib.colors import ListedColormap # prepare data iris = load_iris() X = iris.data y = iris.target df = pd.DataFrame(X, columns=iris.feature_names) df['label'] = y species_map =

问题 I want to choose a zone in my matplotlib figure by zooming into the figure then, when the key 'c' is pressed, getting the current axes limits. However, on key press event, the figure automatically rolls back the zoom level one step back. So when the callback function is called, it gets the axes limit for the previous zoom level (ie, "home" limits if I have zoomed only once, or the second-to-last zoom level if I have zoomed more than once). I thought maybe getting the axes limits interferes

问题 When using a matplotlib to draw something without axes, savefig() isn't truly "tight": import matplotlib.pyplot as plt circ = plt.Circle((0, 0), 1.0) plt.gca().add_artist(circ) plt.gca().set_aspect("equal") plt.axis("off") # plt.show() plt.savefig("out.svg", bbox_inches="tight") That's because the SVG contains the hidden "background patch" <g id="patch_1"> <path d="M 0 280.512 L 280.512 280.512 L 280.512 0 L 0 0 z " style="fill:none;"/> </g> How to remove it? 回答1: pad_inches option! plt

问题 Let's say I have the following dataset: x = np.arange(150000,550000,100000) y = np.random.rand(7*4) z = [0.6,0.6,0.6,0.6,0.7,0.7,0.7,0.7,0.8,0.8,0.8,0.8,0.9,0.9,0.9,0.9,1.0,1.0,1.0,1.0,1.1,1.1,1.1,1.1,1.2,1.2,1.2,1.2] x_ = np.hstack([x,x,x,x,x,x,x]) and I am doing a scatter plot: plt.figure() plt.scatter(x_,y,c=z) plt.colorbar() plt.set_cmap('jet') plt.xlim(100000,500000) plt.show() However, I would like to connect the dots of the same color. I tried just using plt.plot with the same

问题 Using matplotlib, python3.6. I am trying to create some quiverkeys for a quiver plot but having a hard time getting the label colors to match certain arrows. Below is a simplified version of the code to show the issue. When I use the same color (0.3, 0.1, 0.2, 1.0 ) for a vector at (1,1) and as 'labelcolor' of a quiverkey I see 2 different colors. q=plt.quiver([1, 2,], [1, 1], [[49],[49]], [0], [[(0.6, 0.8, 0.5, 1.0 )], [(0.3, 0.1, 0.2, 1.0 )]], angles=[[45],[90]]) plt.quiverkey(q, .5, .5, 7,

问题 Most relevant questions I've seen here are not fixing my issue. I'm writing a program that uses matplotlib and tkinter to make a GUI. I'm running CentOS7. I get this when trying to run python36 testGraph.py on my server: Traceback (most recent call last): File "testGraph.py", line 167, in <module> app = SeaofBTCapp() File "testGraph.py", line 57, in __init__ tk.Tk.__init__(self, *args, **kwargs) File "/usr/lib64/python3.6/tkinter/__init__.py", line 2020, in __init__ self.tk = _tkinter.create