matplotlib

问题 Lets say I have the following code: import numpy as np import matplotlib.pyplot as plt x = np.arange(10) y = np.arange(10) z = np.sum(np.meshgrid(x,y), 0) qm = plt.pcolormesh(x, y, z[:-1, :-1]) qm is now a QuadMesh object. Now, I want to covert this QuadMesh to an RGBA array, in this case a 9x9x4 array giving the red, green, blue, and alpha values at each point. The QuadmEsh object does have a to_rgba() subroutine, but I am having trouble interpreting the documentation. to_rgba() requires

问题 Lets say I have the following code: import numpy as np import matplotlib.pyplot as plt x = np.arange(10) y = np.arange(10) z = np.sum(np.meshgrid(x,y), 0) qm = plt.pcolormesh(x, y, z[:-1, :-1]) qm is now a QuadMesh object. Now, I want to covert this QuadMesh to an RGBA array, in this case a 9x9x4 array giving the red, green, blue, and alpha values at each point. The QuadmEsh object does have a to_rgba() subroutine, but I am having trouble interpreting the documentation. to_rgba() requires

问题 Lets say I have the following code: import numpy as np import matplotlib.pyplot as plt x = np.arange(10) y = np.arange(10) z = np.sum(np.meshgrid(x,y), 0) qm = plt.pcolormesh(x, y, z[:-1, :-1]) qm is now a QuadMesh object. Now, I want to covert this QuadMesh to an RGBA array, in this case a 9x9x4 array giving the red, green, blue, and alpha values at each point. The QuadmEsh object does have a to_rgba() subroutine, but I am having trouble interpreting the documentation. to_rgba() requires

问题 Lets say I have the following code: import numpy as np import matplotlib.pyplot as plt x = np.arange(10) y = np.arange(10) z = np.sum(np.meshgrid(x,y), 0) qm = plt.pcolormesh(x, y, z[:-1, :-1]) qm is now a QuadMesh object. Now, I want to covert this QuadMesh to an RGBA array, in this case a 9x9x4 array giving the red, green, blue, and alpha values at each point. The QuadmEsh object does have a to_rgba() subroutine, but I am having trouble interpreting the documentation. to_rgba() requires

问题 Lets say I have the following code: import numpy as np import matplotlib.pyplot as plt x = np.arange(10) y = np.arange(10) z = np.sum(np.meshgrid(x,y), 0) qm = plt.pcolormesh(x, y, z[:-1, :-1]) qm is now a QuadMesh object. Now, I want to covert this QuadMesh to an RGBA array, in this case a 9x9x4 array giving the red, green, blue, and alpha values at each point. The QuadmEsh object does have a to_rgba() subroutine, but I am having trouble interpreting the documentation. to_rgba() requires

问题 Lets say I have the following code: import numpy as np import matplotlib.pyplot as plt x = np.arange(10) y = np.arange(10) z = np.sum(np.meshgrid(x,y), 0) qm = plt.pcolormesh(x, y, z[:-1, :-1]) qm is now a QuadMesh object. Now, I want to covert this QuadMesh to an RGBA array, in this case a 9x9x4 array giving the red, green, blue, and alpha values at each point. The QuadmEsh object does have a to_rgba() subroutine, but I am having trouble interpreting the documentation. to_rgba() requires

问题 Lets say I have the following code: import numpy as np import matplotlib.pyplot as plt x = np.arange(10) y = np.arange(10) z = np.sum(np.meshgrid(x,y), 0) qm = plt.pcolormesh(x, y, z[:-1, :-1]) qm is now a QuadMesh object. Now, I want to covert this QuadMesh to an RGBA array, in this case a 9x9x4 array giving the red, green, blue, and alpha values at each point. The QuadmEsh object does have a to_rgba() subroutine, but I am having trouble interpreting the documentation. to_rgba() requires

问题 Lets say I have the following code: import numpy as np import matplotlib.pyplot as plt x = np.arange(10) y = np.arange(10) z = np.sum(np.meshgrid(x,y), 0) qm = plt.pcolormesh(x, y, z[:-1, :-1]) qm is now a QuadMesh object. Now, I want to covert this QuadMesh to an RGBA array, in this case a 9x9x4 array giving the red, green, blue, and alpha values at each point. The QuadmEsh object does have a to_rgba() subroutine, but I am having trouble interpreting the documentation. to_rgba() requires

问题 This question already has answers here : How to plot two pandas time series on same plot with legends and secondary y-axis? (2 answers) Closed 2 years ago . I am plotting a pandas dataframe with a second y-axis via pandas plotting interface as described in the documentation like this: df = pd.DataFrame(np.random.randn(24*3, 3), index=pd.date_range('1/1/2019', periods=24*3, freq='h')) df.columns = ['A (left)', 'B (right)', 'C (right)'] ax = df.plot(secondary_y=['B (right)', 'C (right)'], mark

问题 I recently reinstalled anaconda to shift the directory over from an admin account to my personal account. Previously, I had no issue with the code below import matplotlib.backends.backend_tkagg as tkagg defaultcursor = tkagg.cursord[1] Now, it gives the following error: AttributeError: module 'matplotlib.backends.backend_tkagg' has no attribute 'cursord' any idea why this is happening? 来源： https://stackoverflow.com/questions/54002098/attributeerror-tkagg-has-no-attribute-cursord