使用 Python 将 CSV 文件读入 HTML 表格

Question

I'm needing to input data from a CSV file and create a HTML table as the output.

I am currently working with:

with open('2016motogp.csv') as csvfile:
 reader = csv.DictReader(csvfile, delimiter='\t')
 for row in reader:
     print('<tr>')
     for fn in reader.fieldnames:
         print('<td>{}</td>'.format(row[fn]))
     print('</tr>')

The CSV file I want to read into the table is: https://ufile.io/6joj6

When I run the function I get the error:

    ---------------------------------------------------------------------------
UnicodeDecodeError                        Traceback (most recent call last)
<ipython-input-11-3a27549e50fe> in <module>()
----> 1 write_html_table("2016motogp")

<ipython-input-9-91d2a78b30ad> in write_html_table(filename)
     55     with open(filename + ".csv") as csvfile:
     56         reader = csv.DictReader(csvfile, delimiter='\t')
---> 57         for row in reader:
     58             print('<tr>')
     59             for fn in reader.fieldnames:

E:\Anaconda\lib\csv.py in __next__(self)
    109         if self.line_num == 0:
    110             # Used only for its side effect.
--> 111             self.fieldnames
    112         row = next(self.reader)
    113         self.line_num = self.reader.line_num

E:\Anaconda\lib\csv.py in fieldnames(self)
     96         if self._fieldnames is None:
     97             try:
---> 98                 self._fieldnames = next(self.reader)
     99             except StopIteration:
    100                 pass

E:\Anaconda\lib\encodings\cp1252.py in decode(self, input, final)
     21 class IncrementalDecoder(codecs.IncrementalDecoder):
     22     def decode(self, input, final=False):
---> 23         return codecs.charmap_decode(input,self.errors,decoding_table)[0]
     24 
     25 class StreamWriter(Codec,codecs.StreamWriter):

UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 1037: character maps to <undefined>

If anybody provide some guidance or help out it would be much appreciated.

Thanks in advance,

Answer 1

Use Python pandas DataFrame to_html method

You could read the csv file into a Python pandas DataFrame. Then, use the DataFrame to_html feature to either create an HTML file or assign the result into a string and use it that way. This converts the DataFrame into an HTML table. See links to Python docs below.

import pandas as pd

# Read the csv file in
df = pd.read_csv('2016motogp.csv')

# Save to file
df.to_html('myTable.htm')

# Assign to string
htmTable = df.to_html()

pandas read_csv doc

pandas to_html doc

Answer 2

The error might be because the file in question might not be using CP1252 encoding. Assuming it's using utf-8 encoding just add the encoding in open statement and it'll work. I have tested it.

import csv

table = ''
with open(csv_path, encoding="utf8") as csvFile:
    reader = csv.DictReader(csvFile, delimiter=',')
    table = '<tr>{}</tr>'.format(''.join(['<td>{}</td>'.format(header) for header in reader.fieldnames]))
    for row in reader:
        table_row = '<tr>'
        for fn in reader.fieldnames:
            table_row += '<td>{}</td>'.format(row[fn])
        table_row += '</tr>'
        table += table_row