import matplotlib as mpl import matplotlib.pyplot as plt import seaborn as sns import warnings; warnings.filterwarnings(action='once') large = 22; med = 16; small = 12 params = {'axes.titlesize': large, 'legend.fontsize': med, 'figure.figsize': (16, 10), 'axes.labelsize': med, '...
importmatplotlib.pyplotaspltimportnumpyasnp# Create a 2x2 grid of subplots and set the figure sizefig,ax=plt.subplots(2,2,figsize=(10,8))# Generate sample datax=np.linspace(0,5,100)y1=xy2=x**2y3=x**3y4=np.sin(x)# Plot the data in each subplotax[0,0].plot(x,y1,'r-',la...
File "/home/tim/git/matplotlib/lib/matplotlib/backends/backend_wx.py", line 683, in _on_size self.figure.set_size_inches(winch, hinch, forward=False) Apparentlyshow()creates awx.EVT_SIZE, which is bound to_FigureCanvasWxBase._on_size(), and in there matplotlib/lib/matplotlib/backends/bac...
"import matplotlib.pyplot as plt\n", "from peft import get_peft_model, LoraConfig, TaskType\n", "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n", "import seaborn as sns\n", "import onnxmltools\n", "from skl2onnx.common.data_types import FloatTensor...
import numpy as np import matplotlib.pyplot as plt %matplotlib inline array = ds.ReadAsArray() print(array.shape) plt.figure(figsize=(10,10)) plt.imshow(array) 裁剪 In [ ] a = array[:, 0:400, 0:400] print(a.shape) a1 = a[[2,1,0]].transpose(1,2,0) plt.figure(figsize=(...
Due to the largest difference between CMIP5 and CMIP6 in RCP 2.6/SSP 1-2.6 only shading for that is shown to avoid the figure becoming too busy. a, Full change of the total OHT (temperature, velocity and nonlinear driven changes). b, Full change of the overturning OHT. c, Full ...
Figure 2 Depth of the earliest departure estimated from the multi-model mean of ToD for (a) temperature, (b) salinity, (c) oxygen, and (d) pH. And earliest departure, considering all depths in (a–d), in the multi-model mean of ToD for (e) temperature, (f) salinity, (g) oxygen...
Judea Pearl, a pioneering figure in artificial intelligence, argues that AI has been stuck in a decades-long rut. His prescription for progress? Teach machines to understand the question why.All the impressive achievements of deep learning amount to just curve fittingJudea Pearl...
When I use a queued function which updates one or more components, those components are no longer interactable (example highlighting text in a label or interacting with a plotly chart). In 4.27, this was still functional and I tried searching through the 4.28 changelog to figure out why but ...
fast_api_figure_url}/{image_file}' return image_url Expand Down Expand Up @@ -222,13 +218,17 @@ def _code_interpreter(code: str, timeout): finished = True elif msg_type == 'execute_result': text = msg['content']['data'].get('text/plain', '') if 'image/png' in msg['...