matplotlib

问题 I have a dataset for curvature and I need to find the tangent to the curve but unfortunately, this is a bit far from the curve. Kindly guide me the issue solution related to the problem. Thank you! My code is as follows: fig, ax1 = plt.subplots() chData_m = efficient.get('Car.Road.y') x_fit = chData_m.timestamps y_fit = chData_m.samples fittedParameters = np.polyfit(x_fit[:],y_fit[:],1) f = plt.figure(figsize=(800/100.0, 600/100.0), dpi=100) axes = f.add_subplot(111) # first the raw data as a

问题 The following plot and its code were generated in R (source). How can I replicate this quality of a histogram in Python code using scipy.stats ? x = rgamma(1000, 3, .1) hist(x, prob=T, br=30, col="skyblue2", main="n = 1000: GAMMA(3, .1)") curve(dgamma(x, 3, .1), add=T, lwd=2, col="orange") abline(v = 55.81, lwd=2, col="blue") abline(v = 53.2232, lwd=2, col="brown", lty="dotted") The R plot above is alot better than Python's scipy.stats histograms, one example shown below, but I know there are

问题 The following plot and its code were generated in R (source). How can I replicate this quality of a histogram in Python code using scipy.stats ? x = rgamma(1000, 3, .1) hist(x, prob=T, br=30, col="skyblue2", main="n = 1000: GAMMA(3, .1)") curve(dgamma(x, 3, .1), add=T, lwd=2, col="orange") abline(v = 55.81, lwd=2, col="blue") abline(v = 53.2232, lwd=2, col="brown", lty="dotted") The R plot above is alot better than Python's scipy.stats histograms, one example shown below, but I know there are

问题 A scatter plot object has a method called .set_color to update the colors of the markers and .set_offsets to update their position but how can I update the marker shapes? 回答1: A scatter plot returns a path collection, it contains the paths of the markers. In order to change the marker shape you need to set the path to the new marker path. For built-in markers, these paths can be obtained from the MarkerStyle class. For custom markers see my SO answer here. Example - scatter plot with dot

问题 I need some help for my current code. I want to create a window by tkinter and show a plot in a canvas I created by matplotlib before. This point I reached yet. My problem is that I want to clear this canvas by hitting a button. To clear a canvas I suppose to initialize this before I can fill it with the plot. So my question is: How can I fill a plot in a created canvas? Below you can find a small code that shows my state of arts. from matplotlib.figure import Figure from matplotlib.backends

问题 I am trying to set the x axis tick labels as the year but have the gridlines as the fiscal quarter. The data is quite simple, just a groupby date.count, see below. Each date has a count and I am plotting it as a line plot. rc[(rc['form']=='Bakken')&(rc['tgt']=='oil')].groupby(['date']).date.count() date count 2010-01-08 65 2010-01-15 68 2010-01-22 73 2010-01-29 76 2010-02-05 79 2010-02-12 76 2010-02-19 79 2010-02-26 83 2010-03-05 81 2010-03-12 83 2010-03-19 80 2010-03-26 87 2010-04-02 84 2010

问题 I am using NetworkX and Matplotlib to draw nodes, but the nodes are sometimes being cut off at the edge of the graphic. Is there a setting to increase the margins or prevent them from being cut off? Image: Nodes being cut off at the edge of the graphic Example program: import networkx as nx import matplotlib.pyplot as plt import numpy as np adjacency_matrix = np.array([[1,0,0,0,0,0,1,0],[0,1,1,1,1,0,0,0],[0,1,1,0,0,0,0,0],[0,1,0,1,0,0,0,0], [0,1,0,0,1,1,0,0],[0,0,0,0,1,1,1,1],[1,0,0,0,0,1,1,0

问题 I am using NetworkX and Matplotlib to draw nodes, but the nodes are sometimes being cut off at the edge of the graphic. Is there a setting to increase the margins or prevent them from being cut off? Image: Nodes being cut off at the edge of the graphic Example program: import networkx as nx import matplotlib.pyplot as plt import numpy as np adjacency_matrix = np.array([[1,0,0,0,0,0,1,0],[0,1,1,1,1,0,0,0],[0,1,1,0,0,0,0,0],[0,1,0,1,0,0,0,0], [0,1,0,0,1,1,0,0],[0,0,0,0,1,1,1,1],[1,0,0,0,0,1,1,0

问题 I am trying to set the x axis tick labels as the year but have the gridlines as the fiscal quarter. The data is quite simple, just a groupby date.count, see below. Each date has a count and I am plotting it as a line plot. rc[(rc['form']=='Bakken')&(rc['tgt']=='oil')].groupby(['date']).date.count() date count 2010-01-08 65 2010-01-15 68 2010-01-22 73 2010-01-29 76 2010-02-05 79 2010-02-12 76 2010-02-19 79 2010-02-26 83 2010-03-05 81 2010-03-12 83 2010-03-19 80 2010-03-26 87 2010-04-02 84 2010

问题 I need some help for my current code. I want to create a window by tkinter and show a plot in a canvas I created by matplotlib before. This point I reached yet. My problem is that I want to clear this canvas by hitting a button. To clear a canvas I suppose to initialize this before I can fill it with the plot. So my question is: How can I fill a plot in a created canvas? Below you can find a small code that shows my state of arts. from matplotlib.figure import Figure from matplotlib.backends