python-3.x

问题 I have been going at this for a while trying to get python, numpy and pytz added to AWS Lambda as Layers rather than having to zip and throw it at AWS with my .py file. I was able to follow multiple tutorials and all of them failed. I have resorted to following this guide if I am to go with pandas, numpy or pytz for any functionality (AWS Lambda with Pandas and NumPy - Ruslan Korniichuk - Medium). So this is good but I do not want to have to recreate a zip each time if things change with my

问题 I would to get dollar amounts from more than hundreds rows in a column, and then save the amount in a new column. The dollar amount varies in each row, like $100.01, $1,000.05, 10,000, 100,000 etc. One of the lines looks like this: Approving the settlement claim of Mr. X Y by payment in the amount of $120,000.65 I tried to do something like this, but it's not extracting the dollar amount: df['amount'] = df['description'].str.extract('/(\$[0-9]+(\.[0-9]{2})?)/', expand=True) Please help. 回答1:

问题 I am looking for a way to dynamically create classes with specific properties accessible via typical instance notation. DynoOne = createClass('DynoOne',props=['A','B']) d = DynoOne (database='XYZ') d.A = d.B + 1 DynoTwo = createClass('DynoTwo',props=['A','C','E']) q = DynoTwo (database='QRS') q.A = q.C + 2*q.E Details of how the "props" are actually acquired and modified would be hidden. This also makes it easier to add access to new props as they become available. I have experimented with

问题 I have a data frame called df : Date Sales 01/01/2020 812 02/01/2020 981 03/01/2020 923 04/01/2020 1033 05/01/2020 988 ... ... How can I get the first occurrence of 7 consecutive days with sales above 1000? This is what I am doing to find the rows where sales is above 1000: In [221]: df.loc[df["sales"] >= 1000] Out [221]: Date Sales 04/01/2020 1033 08/01/2020 1008 09/01/2020 1091 17/01/2020 1080 18/01/2020 1121 19/01/2020 1098 ... ... 回答1: You can assign a unique identifier per consecutive

问题 I have a data frame called df : Date Sales 01/01/2020 812 02/01/2020 981 03/01/2020 923 04/01/2020 1033 05/01/2020 988 ... ... How can I get the first occurrence of 7 consecutive days with sales above 1000? This is what I am doing to find the rows where sales is above 1000: In [221]: df.loc[df["sales"] >= 1000] Out [221]: Date Sales 04/01/2020 1033 08/01/2020 1008 09/01/2020 1091 17/01/2020 1080 18/01/2020 1121 19/01/2020 1098 ... ... 回答1: You can assign a unique identifier per consecutive

问题 Historically I have always used the following for reading files in python : with open("file", "r") as f: for line in f: # do thing to line Is this still the recommend approach? Are there any drawbacks to using the following: from pathlib import Path path = Path("file") for line in path.open(): # do thing to line Most of the references I found are using the with keyword for opening files for the convenience of not having to explicitly close the file. Is this applicable for the iterator

问题 I'm using Django and Python 3.7. I want to have more efficient parsing so I was reading about SoupStrainer objects. I created a custom one to help me parse only the elements I need ... def my_custom_strainer(self, elem, attrs): for attr in attrs: print("attr:" + attr + "=" + attrs[attr]) if elem == 'div' and 'class' in attr and attrs['class'] == "score": return True elif elem == "span" and elem.text == re.compile("my text"): return True article_stat_page_strainer = SoupStrainer(self.my_custom

问题 Is there a way to prevent the script's directory from being added to sys.path in python3? I'm getting import conflicts due to the fact that imports are relative in python. A legacy project I'm working with has a file called logger.py in the root directory of the script which conflicts with the built-in logger . The custom build system that I use ends up creating symlinks to all the files and dependencies and in production, at runtime we use the -E flag to ignore any system set PYTHONPATH and

问题 I have written code using matmul, but I am getting the following error: "ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 1 is different from 3)" Code: R = [[0.40348195], [0.38658295], [0.82931052]] V = [0.33452744, 0.33823673, 0.32723583] print("Rt_p: ", R) B = np.matmul(V,np.transpose(R))/pow(LA.norm(R), 2) print("B", B) 回答1: You are transposing a Matrix with 3 rows and 1 column to a Matrix with 3 columns and 1

问题 I have written code using matmul, but I am getting the following error: "ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 1 is different from 3)" Code: R = [[0.40348195], [0.38658295], [0.82931052]] V = [0.33452744, 0.33823673, 0.32723583] print("Rt_p: ", R) B = np.matmul(V,np.transpose(R))/pow(LA.norm(R), 2) print("B", B) 回答1: You are transposing a Matrix with 3 rows and 1 column to a Matrix with 3 columns and 1