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_plot_args(this, kwargs) File "/opt/conda/lib/python3.8/site-packages/matplotlib/axes/_base.py", line 399, in _plot_args raise ValueError(f"x and y must have same first dimension, but " ValueError: x and y must have same first dimension, but have shapes (6050,) and (50,) ...
To create a string using the single quote, wrap the sequence of characters within (‘‘). But using the single quote you can create only a line of string, if you want to create a multiple of strings, then it is not suitable, and it shows error, when multiple line of string is creat...
Matplotlibis one of the most widely used data visualization libraries in Python. From simple to complex visualizations, it's the go-to library for most. In this tutorial, we'll take a look athow to plot multiple line plots in Matplotlib- on the sameAxesorFigure. If you'd like to read ...
matplotlib 3.9.1.post1 matplotlib-inline 0.1.7 mdurl 0.1.2 mistune 3.0.2 modelscope 1.17.0 more-itertools 10.3.0 mpmath 1.3.0 msgpack 1.0.8 multidict 6.0.5 multiprocess 0.70.16 nbclient 0.10.0 nbconvert 7.16.4 nbformat 5.10.4 nemo_text_processing 1.0.2 ...
Suppose you want to generate a pdf file with matplotlib and save it. genfigure.py: import matplotlib.pyplot as plt import sys plt.plot([0, 1], [0, 1]) plt.savefig(sys.argv[1]) Run the script from the command line $ python genfigure.py 1...
(OK) # Optional: cython >=0.21 : 0.29.33 (OK) matplotlib >=3.0.0 : 3.6.3 (OK) numpy >=1.7 : 1.24.1 (OK) pandas >=1.1.1 : 1.5.2 (OK) scipy >=0.17.0 : 1.10.0 (OK) sympy >=0.7.3 : 1.11.1 (OK) # Spyder plugins: spyder_terminal.terminalplugin 1.2.2 : 1.2.2 (OK...
zmq >=17 : 22.3.0 (OK) # Optional: cython >=0.21 : 0.29.28 (OK) matplotlib >=3.0.0 : 3.5.1 (OK) numpy >=1.7 : 1.21.5 (OK) pandas >=1.1.1 : 1.4.2 (OK) scipy >=0.17.0 : 1.8.0 (OK) sympy >=0.7.3 : 1.10.1 (OK)...
I think I have whittled this down sufficiently from the Cartopy example that is failing. Running imshow(..., alpha=0.5) produces a different result in 2.0.0b1 vs. 1.5.1 (both installed via conda.) import numpy as np import matplotlib.pyp...
After obtaining the correlation coefficients between the factors, we used the matplotlib.pyplot library in Python to visualize the correlation matrix. According to Figure 6, the positive correlation between the factors becomes stronger as the color gets lighter; the strength of the negative correlation...