# Option 1
G = max(nx.connected_component_subgraphs(G), key=len)
# Option 2
for component in list(nx.connected_components(G)):
if len(component) < 16451: # Size of the largest component
for node in component:
G.remove_node(node)
Here is what the above code is Doing:
1. Find all connected components in the graph
2. Find the largest connected component
3. Remove all nodes that are not in the largest connected component
# This checks if the cell has a value, or if it isn’t empty then runs your code if cell.value: continue # OR if not cell.value == None: continue Here is what the above code is Doing: 1. It’s checking if the cell has a value. 2. If it does, it continues to the next…
string = ‘some string’ normal_alphabet = ‘abcdefghijklmnopqrstuvwxyz.’ my_alphabet = ‘ijklmnopqrstuvwxyz.abcdefgh’ translation = string.maketrans(normal_alphabet, my_alphabet) print(string.translate(translation)) Here is what the above code is Doing: 1. We create a normal alphabet and a my alphabet. 2. We create a translation table using the maketrans function. 3. We translate the string using the translate function.
In [12]: a = np.array([[1,2,3], [4,5,6]]) In [13]: b = a.ravel() In [14]: b Out[14]: array([1, 2, 3, 4, 5, 6]) Here is what the above code is Doing: 1. We create a 2D array with 2 rows and 3 columns. 2. We use the ravel() method to flatten the 2D array into a 1D…
arr[-3:] Here is what the above code is Doing: 1. We’re creating a list of numbers from 1 to 10. 2. We’re printing the first three numbers in the list. 3. We’re printing the last three numbers in the list.
#Use interpolate() function to fill the missing values using linear method #after upsampling the df. df.resample(‘D’).interpolate() Here is what the above code is Doing: 1. Resample the dataframe to daily frequency. 2. Use the interpolate() function to fill the missing values using linear method.
fl = list(filter(lambda x: x[‘first’] == ‘Christian’, dictlist)) # you can’t use `.property` because this is a dictionary, not a object fl[0][‘last’] # returns Doppler Here is what the above code is Doing: 1. Create a list of dictionaries 2. Filter the list of dictionaries for dictionaries where the first name is Christian 3. Return…