code how pandas save csv file
df.to_csv('out.csv')csv python write
import csv
with open('names.csv', 'w') as csvfile:
fieldnames = ['first_name', 'last_name']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'})
writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'})
writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'})python save as csv
import numpy as np
np.savetxt('data.csv', (col1_array, col2_array, col3_array), delimiter=',')Write a table to CSV file python
header = [re.sub(' +',' ',i[0][:-1].replace('\n', ' ')) for i in optionsTable[0]]
with open('test.csv', 'w') as fp:
writer = csv.writer(fp, delimiter=',')
writer.writerow(header)
for row in optionsTable:
writer.writerow([i[1] for i in row])
#Credit to https://stackoverflow.com/users/790387/burhan-khalid Burhan Khalid
#On StackOverflow.export html table to csv python
# Importing the required modules
import os
import sys
import pandas as pd
from bs4 import BeautifulSoup
path = 'html.html'
# empty list
data = []
# for getting the header from
# the HTML file
list_header = []
soup = BeautifulSoup(open(path),'html.parser')
header = soup.find_all("table")[0].find("tr")
for items in header:
try:
list_header.append(items.get_text())
except:
continue
# for getting the data
HTML_data = soup.find_all("table")[0].find_all("tr")[1:]
for element in HTML_data:
sub_data = []
for sub_element in element:
try:
sub_data.append(sub_element.get_text())
except:
continue
data.append(sub_data)
# Storing the data into Pandas
# DataFrame
dataFrame = pd.DataFrame(data = data, columns = list_header)
# Converting Pandas DataFrame
# into CSV file
dataFrame.to_csv('MyTable.csv')Copyright © 2021 Codeinu
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