From junior to geek the road is sleek
Create Anaconda environment: conda create –name MyEnv Activate virtual environment on Windows: activate MyEnv Install package conda install package-name Activate virtual environment on LINUX, macOS: source activate MyEnv Clone base Anaconda environment: conda create –name MyEnv –clone base Deactivate current environment: conda deactivate List all packages and versions installed in active environment: conda list Get … Read more
Hello, I’m back! 😎 Now the traditional method is this: df.loc[df[‘column_name’] == value] For string, and for numeric values this: df.loc[df[‘column_name’] == ‘string’] While it always work with numeric values, for string values sometimes it doesn’t work. It picks up a blank dataframe. I guess it’s something to do with encoding of the source where … Read more
with open(‘C:/path/filename.txt’) as f: lines = f.read().splitlines()
I love list comprehensions. I really do. And it’s time for list comprehensions! If you need to withhold all items from a list1 that are present in list2 – nothing else works better! There we go, beautiful & clean code: list1 = [‘banana’, ‘orange’, ‘apple’, ‘apple’, ‘lemon’, ‘strawberry’, ‘pineapple’, ‘melon’, ‘melon’, ‘peach’, ‘pear’] list2 = … Read more
Do you also get weird signs like ‘\x00s\x00v\x00e\x00n\x00l\x00o’ when reading data from file? It’s because UTF-16 encoding. You should decode it. Here’s the solution: import codecs filename = ‘yourFileName.txt’ with codecs.open(filename, “r”, “utf-16”) as f: data = f.read().splitlines() print(data)
The easiest way to do this: import time start = time.time() Print(“Starting script execution…”) end = time.time() execution_time = end – start print(“Execution time = ” + str(execution_time))
Best way is to use Panda’s to_csv() built-in function df.to_csv(‘filename’, index=False) Don’t forget to pass index=False as a second parameter if you don’t want index row saved as a column (in other words use it if you don’t want duplicated index when opening the file again). By the way, you can also withhold column names … Read more
I always keep forgetting how exactly with statement works with opening and reading the files in Python. path = ‘./path/filename.txt’ with open(path,’r’) as file: data = file.readlines() print(data) Or if you would like to avoid getting ‘\n’ after each line when using .readlines() you can use this instead: data = file.read().splitlines() Opening files with ‘with’ … Read more
First you might think in order to print dictionary values it’s enough to: for i in dict: print(i) But No. This way it’ll only print the keys. In order to print values next to the dictionary keys use: for key in dict: print(key, ‘-‘, dict[key])
For all noobs like me. If you get this error, you most probably doing one stupid thing like I did: where y2.shape[0] is just an integer. Remember, we can iterate only through lists or other sequences. When we would like to repeat a certain action X number of times we should do the following: If … Read more