matplotlib

问题 There are similar questions on here, but none seem to capture all this problem. If I copy-and-paste the demo code on matplotlib website using a Jupyter Notebook or Anaconda Python on Windows: """ Demo of TeX rendering. You can use TeX to render all of your matplotlib text if the rc parameter text.usetex is set. This works currently on the agg and ps backends, and requires that you have tex and the other dependencies described at http://matplotlib.org/users/usetex.html properly installed on

问题 Using pyplot circle function I made a circle, then I have used text function to place the text(parameters) across the circle(PLOT ATTACHED) but the thing is if let's say I want to list out only 6 or say 11 parameters equally spaced across the circle I'll have to chage the coordinates as well as the rotation in text (and the coordinates and rotation value has been manually set). I want something that'll automate these things like given a number of parameter it will place parameter with equal

问题 I have pretty similar code to plot: plt.plot(df_tags[df_tags.detailed_tag == tag]['week'], df_tags[df_tags.detailed_tag == tag].tonality) Output: But I want leave only min and max values for x axis this way: plt.plot(df_tags[df_tags.detailed_tag == tag]['week'], df_tags[df_tags.detailed_tag == tag].tonality) plt.xticks([df_tags['week'].min(), df_tags['week'].max()]) print (df_tags['week'].min(), df_tags['week'].max()) With no luck, he puts second week as a last one, but why and how to fix it:

问题 I want to overlay a heatmap with a second chart (a KDEplot, but for this example I'll use a scatterplot, since it shows the same issue). Seaborn heatmaps have categorical axes, so overlaying a chart with numerical axes doesn't line up the two charts properly. Example: df = pd.DataFrame({2:[1,2,3],4:[1,3,5],6:[2,4,6]}, index=[3,6,9]) df 2 4 6 3 1 1 2 6 2 3 4 9 3 5 6 fig, ax1 = plt.subplots(1,1) sb.heatmap(df, ax=ax1, alpha=0.1) Overlaying this with a scatterplot: fig, ax1 = plt.subplots(1,1)

问题 I have the following dataframe import pandas as pd import matplotlib.pyplot as plt df = pd.DataFrame({'var': ['bid', 'on', 'off', 'bid', 'on', 'off'], 'aud': ['H', 'H', 'H', 'L', 'L', 'L'], 'eff': [0.1, 0.2, 0.3, 0.01, 0.02, 0.03], 'spend': [10, 20, 30, 1, 2, 3], 'marg': [0.001, 0.002, 0.003, 0.0001, 0.0002, 0.0003]}) My end goal is to create a bubble plot, with specific color s for every var , the marg on the y_axis , the eff on the x_axis of the plot and the size of the bubbles to be equal

问题 I'm making figures of some galaxies velocities with matplotlib , from some .fits files. The problem is that the axes in the figure show the galaxy's size in pixels, and I want to display them as Declination and RightAcension (in angle units). I already know that each pixel has a size of 0.396 arcseconds. How can I convert pixels to arcseconds in both X and Y axes? The code is the folowing: ############################################################################## # Generally the image

问题 Given the following code: fig, ax = plt.subplots() ax.scatter([1, 2, 3, 4, 5], [34, 22, 11, 4, 6], s=100) _ = ax.text(x=0, y=1.1, s="This is some text", transform=ax.transAxes, fontsize=20) rect = mpl.patches.Rectangle( (0.5, 0.5), width=0.05, height=0.05, color="red", transform=ax.transAxes, ) ax.add_patch(rect) Which creates: I would like to add the patch to the following location: So that the plot looks as follows: It seems that I am unable to have patches outside of the axes spines area

问题 I want to scatter some data points. I wrote: sumy = sum(np.unique(y_train))+1 yy = y_train/sumy plt.scatter( X_lda.iloc[:,0], X_lda.iloc[:,1], c=yy, cmap='rainbow') /usr/local/lib/python3.6/dist-packages/matplotlib/colors.py in to_rgba_array(c, alpha) 277 result[mask] = 0 278 if np.any((result < 0) | (result > 1)): --> 279 raise ValueError("RGBA values should be within 0-1 range") 280 return result 281 # Handle single values. ValueError: RGBA values should be within 0-1 range y_train is an

问题 I'm working on reading some photos and taking the text with OCR. Now I need to rank the text read into some graph in order to see some pattern. But when I try to plot those texts into a graph, I got blank squares in the place of some characters. I'm sharing a example of what I've done with a script: This is an example script: import numpy as np import matplotlib.pyplot as plt fig, ax = plt.subplots() y = [0,1,2,3] group_labels = ['77 7 7 7\r\nlfISldI\r\n\r\n', 'G217\r\nini\r\n\r\n', 'L519\r

问题 I'm trying to create a polar projection using matplotlib.pyplot.subplots() but I get the error projection is not defined when I try to pass a dictionary to matplotlib.pyplot.subplots() My code: import matplotlib.pyplot as plt fig, ax = plt.subplots(nrows=1, ncols=2, subplot_kw={projection:'polar'}) However plt.subplot(1,1,1, projection='polar') works as expected. The documentation for plt.subplots() says that the dictionary in subplot_kw will be passed to add.subplot() which takes projection