python

问题 My dataframe looks like this: ID Class 0 9 1 8 1 6 2 6 2 2 3 15 3 1 3 8 What I would like to do is merging rows with same ID value in a way below: ID Class1 Class2 Class3 0 9 1 8 6 2 6 2 3 15 1 8 So for each ID which exists more than once, I want to create new column(s) and move values from rows to those columns. What is the fastest way to do this? I tried using groupby but it didn't give me appriopate results. 回答1: Use set_index with cumcount for new columns, reshape by unstack and last

问题 For instance, with my current code, this tweet shows as: Stunning ride through the Oxfordshire lanes this morning to get the legs ready for the Fast Test… https:// t.co/W0uFKU9jCr I want to look like as it shown on Twitter's website, e.g.: Stunning ride through the Oxfordshire lanes this morning to get the legs ready for the Fast Test… https://www.instagram.com/p/BSocl5Djf5v/ How can I do this exactly? I mean replacing Twitter's short urls by the urls of media, expanded urls, tweet quotes...

问题 For instance, with my current code, this tweet shows as: Stunning ride through the Oxfordshire lanes this morning to get the legs ready for the Fast Test… https:// t.co/W0uFKU9jCr I want to look like as it shown on Twitter's website, e.g.: Stunning ride through the Oxfordshire lanes this morning to get the legs ready for the Fast Test… https://www.instagram.com/p/BSocl5Djf5v/ How can I do this exactly? I mean replacing Twitter's short urls by the urls of media, expanded urls, tweet quotes...

问题 I am new to Keras and CNN. I am working on an assignment to build a CNN for predicting face emotions. I built the model as per the assignment but while compiling the model I get "ValueError: Shapes (None, 1) and (None, 7) are incompatible". Can someone help me how to resolve this? Pasting my code below for reference: ''' model = Sequential() model.add(Conv2D(filters = 64, kernel_size = 5,input_shape = (48,48,1))) model.add(Conv2D(filters=64, kernel_size=5,strides=(1, 1), padding='valid'))

问题 I'm trying to create a dictionary from a CSV file. The first column of the CSV file contains unique code/ keys and since the second column, there are values. Each row of the CSV file represents a unique key. I tried to use the csv.DictReader and csv.DictWriter classes, but I could only figure out how to generate a new dictionary for each row. This is a part of my code: import csv with open('input_experiment.csv', mode='r') as infile: reader = csv.reader(infile) with open('input_experiment.csv

问题 I have a dataframe as follows Name Age 0 Tom 20 1 nick 21 2 3 krish 19 4 jack 18 5 6 jill 26 7 nick Desired output is Name Age 0 Tom 20 1 nick 21 3 krish 19 4 jack 18 6 jill 26 7 nick The index should not be changed and if possible would be nice if I don't have to convert empty strings to NaN. It should be removed only if all the columns have '' empty strings 回答1: You can do: # df.eq('') compare every cell of `df` to `''` # .all(1) or .all(axis=1) checks if all cells on rows are True # ~ is

问题 Python code is taking around 2-3 secs to make the snowflake database connection. Is it expected behaviour ? OR are there any parameters which will speed up connection time. Here is the sample code: import snowflake.connector import time t1=time.time() print("Start time :"+str(t1)) try: conn = snowflake.connector.connect( user=user, password=password, account=account, warehouse=warehouse, # database=DATABASE, # schema=SCHEMA ) cur = conn.cursor() except Exception as e: logging.error(

问题 Python code is taking around 2-3 secs to make the snowflake database connection. Is it expected behaviour ? OR are there any parameters which will speed up connection time. Here is the sample code: import snowflake.connector import time t1=time.time() print("Start time :"+str(t1)) try: conn = snowflake.connector.connect( user=user, password=password, account=account, warehouse=warehouse, # database=DATABASE, # schema=SCHEMA ) cur = conn.cursor() except Exception as e: logging.error(

问题 I currently have a python file that I have to run for different excel files on a daily basis. The steps are : Open .py file change directory of excel file run python file write to .xlsx This takes in a excel file as a pandas dataframe does some manipulation and other things and spits out an excel file. The problem is that I have to change the directory each time manually in the code. I would rather build a nice GUI for me to pick the source file that I want to manipulate, pick the output

问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 6 years ago . Improve this question I'd like to assign to values colors, using matplotlib or colormap. More concretely: If I've got a small value (let's say that -14 is the smallest value) and a high value (let's say 86 is the highest value), I'd like to print the objects with low values more red, and objects