python-3.x

问题 Let's assume I have 2 netCDF data files with data for the same region (like South America, Africa, etc) but the different grid sizes as 0.5 degrees x 0.5 degrees and 1.0 degrees x 1.0 degrees in another. I want to increase or decrease its grid size to a different value such as 0.25 x 0.25 or 1.0 x 1.0 so that I can use this easily for raster calculations and comparison, etc. Is there a method to do this using any bash script, CDO, etc. A sample data can be downloaded from here. https://www

问题 Let's assume I have 2 netCDF data files with data for the same region (like South America, Africa, etc) but the different grid sizes as 0.5 degrees x 0.5 degrees and 1.0 degrees x 1.0 degrees in another. I want to increase or decrease its grid size to a different value such as 0.25 x 0.25 or 1.0 x 1.0 so that I can use this easily for raster calculations and comparison, etc. Is there a method to do this using any bash script, CDO, etc. A sample data can be downloaded from here. https://www

问题 We tried for a few days to setup Proxy Authentication with selenium chromedriver in Python. We couldn't set ip up because Chrome throws a pop-up for authentication. Problem is that selenium can't switch to that window and so, can't type. The only solution that worked for us was using pyautogui which is a bad solution for us because we want to use the headless function. Here are all the methods we tried: driver.switch_to_window() driver.switch_to_active_element() driver.switch_to_alert()

问题 We tried for a few days to setup Proxy Authentication with selenium chromedriver in Python. We couldn't set ip up because Chrome throws a pop-up for authentication. Problem is that selenium can't switch to that window and so, can't type. The only solution that worked for us was using pyautogui which is a bad solution for us because we want to use the headless function. Here are all the methods we tried: driver.switch_to_window() driver.switch_to_active_element() driver.switch_to_alert()

问题 Currently I'm using the following code to lemmatize and calculate TF-IDF values for some text data using spaCy: lemma = [] for doc in nlp.pipe(df['col'].astype('unicode').values, batch_size=9844, n_threads=3): if doc.is_parsed: lemma.append([n.lemma_ for n in doc if not n.lemma_.is_punct | n.lemma_ != "-PRON-"]) else: lemma.append(None) df['lemma_col'] = lemma vect = sklearn.feature_extraction.text.TfidfVectorizer() lemmas = df['lemma_col'].apply(lambda x: ' '.join(x)) vect = sklearn.feature

问题 I am using Plotly for Python to generate some stacked bar charts. Since I have 17 objects which are getting stacked, the colour of the bars has started repeating as seen in the image below. Can someone tell me how to get unique colours for each stack? Please find my code to generate the bar chart below: import plotly plotly.tools.set_credentials_file(username='xxxxxxxx', api_key='********') dd = [] import plotly.plotly as py import plotly.graph_objs as go import numpy as np for k,v in new

问题 I am using Plotly for Python to generate some stacked bar charts. Since I have 17 objects which are getting stacked, the colour of the bars has started repeating as seen in the image below. Can someone tell me how to get unique colours for each stack? Please find my code to generate the bar chart below: import plotly plotly.tools.set_credentials_file(username='xxxxxxxx', api_key='********') dd = [] import plotly.plotly as py import plotly.graph_objs as go import numpy as np for k,v in new

问题 This question already has answers here : What does -> mean in Python function definitions? (8 answers) Closed 2 years ago . I have found the following python function definition: def reverseString(self, s: 'List[str]') -> 'None': I don't quite understand 'List[str]' and -> 'None' . I have found that the arrow is a function annotation but I couldn't find anything useful and understandable for List[str]. Is it just an annotation? or does it enforce that the type of parameter s must be a string

问题 Just came across this awesome __length_hint__() method for iterators from PEP 424 (https://www.python.org/dev/peps/pep-0424/). Wow! A way to get the iterator length without exhausting the iterator. My questions: Is there a simple explanation how does this magic work? I'm just curious. Are there limitations and cases where it wouldn't work? ("hint" just sounds a bit suspicious). Is there a way to get the hint for zips and generators as well? Or is it something fundamental only to iterators?

问题 I have a nested list of strings which I would like to extract them the date. The date format is: Two numbers (from 01 to 12 ) hyphen tree letters (a valid month) hyphen two numbers, for example: 08-Jan—07 or 03-Oct—01 I tried to use the following regex: r'\d{2}(—|-)(?:Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)-\d{2,4}' Then I tested it as follows: import pandas as pd df = pd.DataFrame({'blobs':['6-Feb- 1 4 Facebook’s virtual-reality division created a 3-EBÚ7 11 network of 500 free demo