cols = df.select_dtypes([np.number]).columns
Here is what the above code is Doing:
1. Selecting all the numeric columns from the dataframe.
2. Creating a list of all the numeric columns.
3. Creating a list of all the non-numeric columns.
def a(): val = True def b(): nonlocal val val = False Here is what the above code is Doing: 1. Defining a function a() 2. Defining a function b() inside a() 3. Declaring a nonlocal variable val inside b() 4. Assigning a value to val inside b() Now, let’s see what happens when we…
s = “first_second” s.split(‘_’)[0] # Split the string on ‘_’ return the first part. >>> ‘first’ Here is what the above code is Doing: 1. We create a string called s. 2. We call the split method on s. 3. We pass the string ‘_’ as an argument to the split method. 4. The split…
@app.route(‘/_get_current_user’) def get_current_user(): return jsonify( username=g.user.username, email=g.user.email, id=g.user.id ) Here is what the above code is Doing: 1. The @app.route decorator is used to bind a function to a URL. 2. The function is given a name which is also used to generate URLs, and an option list of methods that the function is allowed…
import json with open(‘data.json’, ‘r+’) as f: data = json.load(f) data[‘id’] = 134 #
df_new[df_new[‘l_ext’].isin([31, 22, 30, 25, 64])] Here is what the above code is Doing: 1. We’re creating a new dataframe called df_new. 2. We’re using the .isin() method to select only the rows where the value of the l_ext column is equal to 31, 22, 30, 25, or 64. 3. We’re storing the resulting dataframe in…
df.columns = df.columns.str.replace(‘ ‘, ”) Here is what the above code is Doing: 1. We’re using the .replace() method to replace all spaces in the column names with nothing. 2. We’re using the .str.replace() method to replace all spaces in the column names with nothing. 3. We’re using the .str.replace() method to replace all spaces…