I made top down shooter game where enemies are following the player. If they touch you, they push you with AddForce. I’ve managed to do that but only on specific direction. Problem is that if enemy is coming from player’s right, they still gonna push you to the right and not to the opposite direction… Read More push object with add force in Unity3D
I’m having a parabola with both axes being from 0 to 1 as follows: The parabola is created and normalized with the following code: import matplotlib.pyplot as plt import numpy as np # normalize array def min_max_scale_array(arr): arr = np.array(arr) return (arr – arr.min())/(arr.max()-arr.min()) x = np.linspace(-50,50,100) y = x**2 x = min_max_scale_array(x) y =… Read More Make a parabola steeper at both sides while keeping both ends
Context: I’m trying to convert characters like these: 𝐁𝐔𝐈𝐋𝐃𝐈𝐍𝐆 𝙎𝙥𝙚𝙚𝙙𝙮 𝕋𝕌𝔼𝕊𝔻𝔸𝕐 𝕤𝕡𝕒𝕘𝕙𝕖𝕥𝕥𝕚 To normal python strings (speedy, building, tuesday, etc) and save them into a new dataframe to be exported into a new excel file. For example, the charcter 𝕒 (U+1D552) should be converted to a (U+00AA). I’m reading each string from an excel file… Read More Convert "weird" strings to normal python strings
I have a dataframe like as below id,status,amount,qty 1,pass,123,4500 1,pass,156,3210 1,fail,687,2137 1,fail,456,1236 2,pass,216,324 2,pass,678,241 2,nan,637,213 2,pass,213,543 df = pd.read_clipboard(sep=’,’) I would like to do the below a) Groupby id and compute the pass percentage for each id b) Groupby id and compute the average amount for each id So, I tried the below df[‘amt_avg’] =… Read More Pandas groupby and compute ratio of values with NA in multiple columns
I’m making top down shooter game! Every 3-5second enemies spawn in random positions. I’ve managed this with Random.Range and pixels. But sometimes enemies spawn near the player or at exact position. Is there any way to make bots not spawn near the player? This problem is very critical for my project because if enemy even… Read More Make bots not spawn near player Unity3D
I’m having a curve as follows: The curve is generated with the following code: import matplotlib.pyplot as plt import numpy as np # normalize array def min_max_scale_array(arr): arr = np.array(arr) return (arr – arr.min())/(arr.max()-arr.min()) x = np.linspace(-50,48,100) y = x**2 + 2*x + 2 x = min_max_scale_array(x) y = min_max_scale_array(y) fig, ax = plt.subplots() ax.plot(x,… Read More Move the bottom of a curve without changing both ends
So here’s my simple example (the json field in my actual dataset is very nested so I’m unpacking things one level at a time). I need to keep certain columns on the dataset post json_normalize(). https://pandas.pydata.org/docs/reference/api/pandas.json_normalize.html Start: Expected (Excel mockup): Actual: import json d = {‘report_id’: [100, 101, 102], ‘start_date’: ["2021-03-12", "2021-04-22", "2021-05-02"], ‘report_json’: [‘{"name":"John",… Read More How do I json_normalize() a specific field within a df and keep the other columns?
i have this code: <li><input type="checkbox" id="checkboxThree" value="Alergia3" ><label for="checkboxThree">Alergia 1</label></li> <li><input type="checkbox" id="checkboxFour" value="Alergia4"><label for="checkboxFour">Alergia 1</label></li> <li><input type="checkbox" id="checkboxFive" value="Alergia5"><label for="checkboxFive">Alergia 1</label></li> <li><input type="checkbox" id="checkboxSix" value="Alergia6" ><label for="checkboxSix">Alergia 1</label></li> But I don’t want to use "id" and "for" because I have to do other thing later and I can’t use them. I have see… Read More How to associate label with checkbox but not using "for=id"
I’m trying to make a matrix of actions based off game theory. So if two people meet, they can either both share, or one steal, or both steal, etc. The outline of what I have looks like this (not the whole matrix, just so you get an idea): if first_agent.type == "AlwaysShare" and second_agent.type ==… Read More How can I refactor this code snippet to make it more efficient?
If I plot two images with cmap="gray": on Im1 (left), the tile with value 0.1 is light grey On Im2 (right), the tiles are all defined with value 0.1, but there are all black So how do I obtain the same light grey on Im2 ? import matplotlib.pyplot as plt import numpy as np Im1… Read More In skimage, how to get cmap from one generated image, and use it in another image?