matplotlib

问题 I have the following dataframe: land_cover 1 2 3 4 5 6 size 0 20 19.558872 6.856950 3.882243 1.743048 1.361306 1.026382 16.520265 1 30 9.499454 3.513521 1.849498 0.836386 0.659660 0.442690 8.652517 2 40 10.173790 3.123167 1.677257 0.860317 0.762718 0.560290 11.925280 3 50 10.098777 1.564575 1.280729 0.894287 0.884028 0.887448 12.647710 4 60 6.166109 1.588687 0.667839 0.230659 0.143044 0.070628 2.160922 5 110 17.846565 3.884678 2.202129 1.040551 0.843709 0.673298 30.406541 I want to plot the

问题 I have the following dataframe: land_cover 1 2 3 4 5 6 size 0 20 19.558872 6.856950 3.882243 1.743048 1.361306 1.026382 16.520265 1 30 9.499454 3.513521 1.849498 0.836386 0.659660 0.442690 8.652517 2 40 10.173790 3.123167 1.677257 0.860317 0.762718 0.560290 11.925280 3 50 10.098777 1.564575 1.280729 0.894287 0.884028 0.887448 12.647710 4 60 6.166109 1.588687 0.667839 0.230659 0.143044 0.070628 2.160922 5 110 17.846565 3.884678 2.202129 1.040551 0.843709 0.673298 30.406541 I want to plot the

问题 I have the following code below which simply plots datasets (consisting of dogs and cats images) and their labels. I'm using jupyter notebook: train_path = 'dataset/train' valid_path = 'dataset/valid' test_path = 'dataset/test' train_batches = ImageDataGenerator().flow_from_directory(train_path, target_size=(224,224), classes=['dog', 'cat'], batch_size=10) valid_batches = ImageDataGenerator().flow_from_directory(valid_path, target_size=(224,224), classes=['dog', 'cat'], batch_size=4) test

问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 6 years ago . Improve this question I'd like to assign to values colors, using matplotlib or colormap. More concretely: If I've got a small value (let's say that -14 is the smallest value) and a high value (let's say 86 is the highest value), I'd like to print the objects with low values more red, and objects

问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 6 years ago . Improve this question I'd like to assign to values colors, using matplotlib or colormap. More concretely: If I've got a small value (let's say that -14 is the smallest value) and a high value (let's say 86 is the highest value), I'd like to print the objects with low values more red, and objects

问题 I am working on a picking legend with matplotlib. The goal is to hide and shows curves, by clicking on the legend. I found this solution (Hiding lines after showing a pyplot figure), which works very well. I want improve this code to adapt automatically the axis after each clic on the legend. I don't know if it is possible. Do you have any hint? Their is an example of what I want on the images below. First of all, the Image 1 represents the graph. Then after clicking on the legend 5*sin(x),

问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 6 years ago . Improve this question I'd like to assign to values colors, using matplotlib or colormap. More concretely: If I've got a small value (let's say that -14 is the smallest value) and a high value (let's say 86 is the highest value), I'd like to print the objects with low values more red, and objects

问题 I am working on a picking legend with matplotlib. The goal is to hide and shows curves, by clicking on the legend. I found this solution (Hiding lines after showing a pyplot figure), which works very well. I want improve this code to adapt automatically the axis after each clic on the legend. I don't know if it is possible. Do you have any hint? Their is an example of what I want on the images below. First of all, the Image 1 represents the graph. Then after clicking on the legend 5*sin(x),

问题 I saw this chart in a paper and need to reproduce it. How can I plot a figure like this in Python? Note that: I suspect bigger subplots are perhaps drawn using seaborn or using matplotlib's subplot The smaller plots are POINTING at a specific part of the curve in the bigger plots. 回答1: One strategy can be using mpl_toolkits.axes_grid1.inset_locator , as suggested in the answer to this question: How to overlay one pyplot figure on another I have made a quick example: import matplotlib.pyplot

问题 I have plotted some data with Python and tried to change the ticks with FuncFormatter . Now I want to change the segmentation into round numbers. I also want minor ticks in the same formation, in my case it would be a 1/x segmentation. I want the scaling to spread. The pictures will help you to imagine my issue. import numpy as np import matplotlib.pyplot as plt import matplotlib.ticker as tick x = np.array([805.92055,978.82006,564.88627,813.70311,605.73361,263.27184,169.40317]) y = np.array(