python-2.7

问题 I'm trying to insert into a MySQL table from data in this Excel sheet: https://www.dropbox.com/s/w7m282386t08xk3/GA.xlsx?dl=0 The script should start from the second sheet "Daily Metrics" at row 16. The MySQL table already has the fields called date, campaign, users, and sessions. Using Python 2.7, I've already created the MySQL connection and opened the sheet, but I'm not sure how to loop over those rows and insert into the database. import MySQLdb as db from openpyxl import load_workbook wb

问题 I'm trying to insert into a MySQL table from data in this Excel sheet: https://www.dropbox.com/s/w7m282386t08xk3/GA.xlsx?dl=0 The script should start from the second sheet "Daily Metrics" at row 16. The MySQL table already has the fields called date, campaign, users, and sessions. Using Python 2.7, I've already created the MySQL connection and opened the sheet, but I'm not sure how to loop over those rows and insert into the database. import MySQLdb as db from openpyxl import load_workbook wb

问题 When I am running from docx import Document I am getting error as ImportError: cannot import name Document I am working on Python 2.7. 回答1: It looks like you have installed only docx , but I tried with this and worked for me: pip uninstall docx pip install python-docx This way you will be using the newest version of the library, hope you find it useful. 来源： https://stackoverflow.com/questions/53674449/importerror-cannot-import-name-document

问题 This question already has answers here : Web-scraping JavaScript page with Python (15 answers) Closed 4 years ago . I want to get the rainfall data of each day from here. When I am in inspect mode , I can see the data. However, when I view the source code, I cannot find it. I am using urllib2 and BeautifulSoup from bs4 Here is my code: import urllib2 from bs4 import BeautifulSoup link = "http://www.hko.gov.hk/cis/dailyExtract_e.htm?y=2015&m=1" r = urllib2.urlopen(link) soup = BeautifulSoup(r)

问题 This question already has answers here : Web-scraping JavaScript page with Python (15 answers) Closed 4 years ago . I want to get the rainfall data of each day from here. When I am in inspect mode , I can see the data. However, when I view the source code, I cannot find it. I am using urllib2 and BeautifulSoup from bs4 Here is my code: import urllib2 from bs4 import BeautifulSoup link = "http://www.hko.gov.hk/cis/dailyExtract_e.htm?y=2015&m=1" r = urllib2.urlopen(link) soup = BeautifulSoup(r)

问题 I'm using Panda and matplotlib to draw graphs in Python. I would like a live updating gaph. Here is my code: import matplotlib.pyplot as plt import matplotlib.animation as animation import time import numpy as np import MySQLdb import pandas def animate(): conn = MySQLdb.connect(host="localhost", user="root", passwd="", db="sentiment_index", use_unicode=True, charset="utf8") c = conn.cursor() query = """ SELECT t_date , score FROM mytable where t_date BETWEEN Date_SUB(NOW(), Interval 2 DAY)

问题 I'm using Panda and matplotlib to draw graphs in Python. I would like a live updating gaph. Here is my code: import matplotlib.pyplot as plt import matplotlib.animation as animation import time import numpy as np import MySQLdb import pandas def animate(): conn = MySQLdb.connect(host="localhost", user="root", passwd="", db="sentiment_index", use_unicode=True, charset="utf8") c = conn.cursor() query = """ SELECT t_date , score FROM mytable where t_date BETWEEN Date_SUB(NOW(), Interval 2 DAY)

问题 An extension to : Removing list of words from a string I have following dataframe and I want to delete frequently occuring words from df.name column: df : name Bill Hayden Rock Clinton Bill Gates Vishal James James Cameroon Micky James Michael Clark Tony Waugh Tom Clark Tom Bill Avinash Clinton Shreyas Clinton Ramesh Clinton Adam Clark I'm creating a new dataframe with words and their frequency with following code : df = pd.DataFrame(data.name.str.split(expand=True).stack().value_counts()) df

问题 I have a large ( 36k vertices, 50k edges ) weighted bimodal bipartite graph and I would like to generate a projection that not only count the neighbors like the default weighted implementation but also sum the weights on the edges. You can think of it as a bipartite graph containing black vertices and blue vertices, where I want to conserve the original graph weights when there are only blue vertices. The implementations I came across keep the orange value, I am interested on the red one (or

问题 I have a large ( 36k vertices, 50k edges ) weighted bimodal bipartite graph and I would like to generate a projection that not only count the neighbors like the default weighted implementation but also sum the weights on the edges. You can think of it as a bipartite graph containing black vertices and blue vertices, where I want to conserve the original graph weights when there are only blue vertices. The implementations I came across keep the orange value, I am interested on the red one (or