Send formatted html email via AWS SES with Python and boto3
Question
I'm trying to setup an email function to send emails with formatted data. I have the following which works to send a pandas dataframe in an email, but the formatting used to convert the pandas dataframe into html isn't coming through in the email with the user defined number of spaces.
#install the AWS SES SDK for Python (boto3) from the command line
#pip install boto3
import boto3
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(10, 4), columns=['A', 'B', 'C', 'D']) * 10000
def email(bodytext = 'No data...check your function arguments', dftoconvert = None):
region = 'us-west-2'
user = '' #insert your access key to use when creating the client
pw = '' #insert the secret key to use when creating the client
client = boto3.client(service_name = 'ses',
region_name = region,
aws_access_key_id = user,
aws_secret_access_key = pw)
me = 'me@example.com'
you = ['you@example.com']
subject = 'testSUBJECT'
COMMASPACE = ', '
you = COMMASPACE.join(you)
#Build email message parts
#Build and send email
destination = { 'ToAddresses' : [you],
'CcAddresses' : [],
'BccAddresses' : []}
try:
bodyhtml = dftoconvert.to_html(float_format = lambda x: '({:15,.2f})'.format(abs(x)) if x < 0 else '+{:15,.2f}+'.format(abs(x)))
message = {'Subject' : {'Data' : subject},
'Body': {'Html' : {'Data' : bodyhtml}}}
except NoneType: #If there is no data to convert to html
message = {'Subject' : {'Data' : subject},
'Body': {'Text' : {'Data' : bodytext}}}
except Exception as e:
print(e)
result = client.send_email(Source = me,
Destination = destination,
Message = message)
return result if 'ErrorResponse' in result else ''
print(df)
email(dftoconvert = df)
For some reason, spaces are ignored. I've changed the significant digits identifier to be very small and very large and the html output looks correct with the correct number of leading spaces for the floats in Python. See below.
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randn(10, 4), columns=['A', 'B', 'C', 'D']) * 10000
df
A B C D
0 1071.786803 -4354.776685 -3541.261466 2653.522461
1 489.865060 -12567.822512 13888.890274 14243.027303
2 471.995980 9473.174725 -1776.897694 5085.236174
3 5932.486256 -12558.720083 -17714.593696 -3503.574051
4 -8886.624311 -10286.622739 -4513.326771 2714.793954
5 5965.944055 10207.608141 19224.094501 4748.746867
6 14189.480430 -13826.251008 9847.711830 -1241.976560
7 -9044.406158 -14337.121541 19572.135090 -18146.356528
8 3057.233113 -14410.383480 -931.179975 -16273.711970
9 -14492.047676 -1150.506849 -1892.032700 -797.596310
df.to_html(float_format = lambda x: '({:15,.2f})'.format(abs(x)) if x < 0 else '+{:15,.2f}+'.format(abs(x)))
Out[3]: '<table border="1" class="dataframe">\\n <thead>\\n <tr style="text-align: right;">\\n <th></th>\\n <th>A</th>\\n <th>B</th>\\n <th>C</th>\\n <th>D</th>\\n </tr>\\n </thead>\\n <tbody>\\n <tr>\\n <th>0</th>\\n <td>+ 1,071.79+</td>\\n <td>( 4,354.78)</td>\\n <td>( 3,541.26)</td>\\n <td>+ 2,653.52+</td>\\n </tr>\\n <tr>\\n <th>1</th>\\n <td>+ 489.87+</td>\\n <td>( 12,567.82)</td>\\n <td>+ 13,888.89+</td>\\n <td>+ 14,243.03+</td>\\n </tr>\\n <tr>\\n <th>2</th>\\n <td>+ 472.00+</td>\\n <td>+ 9,473.17+</td>\\n <td>( 1,776.90)</td>\\n <td>+ 5,085.24+</td>\\n </tr>\\n <tr>\\n <th>3</th>\\n <td>+ 5,932.49+</td>\\n <td>( 12,558.72)</td>\\n <td>( 17,714.59)</td>\\n <td>( 3,503.57)</td>\\n </tr>\\n <tr>\\n <th>4</th>\\n <td>( 8,886.62)</td>\\n <td>( 10,286.62)</td>\\n <td>( 4,513.33)</td>\\n <td>+ 2,714.79+</td>\\n </tr>\\n <tr>\\n <th>5</th>\\n <td>+ 5,965.94+</td>\\n <td>+ 10,207.61+</td>\\n <td>+ 19,224.09+</td>\\n <td>+ 4,748.75+</td>\\n </tr>\\n <tr>\\n <th>6</th>\\n <td>+ 14,189.48+</td>\\n <td>( 13,826.25)</td>\\n <td>+ 9,847.71+</td>\\n <td>( 1,241.98)</td>\\n </tr>\\n <tr>\\n <th>7</th>\\n <td>( 9,044.41)</td>\\n <td>( 14,337.12)</td>\\n <td>+ 19,572.14+</td>\\n <td>( 18,146.36)</td>\\n </tr>\\n <tr>\\n <th>8</th>\\n <td>+ 3,057.23+</td>\\n <td>( 14,410.38)</td>\\n <td>( 931.18)</td>\\n <td>( 16,273.71)</td>\\n </tr>\\n <tr>\\n <th>9</th>\\n <td>( 14,492.05)</td>\\n <td>( 1,150.51)</td>\\n <td>( 1,892.03)</td>\\n <td>( 797.60)</td>\\n </tr>\\n </tbody>\\n</table>'
but the email seems to ignore any leading spaces and displays the html the same way no matter how many leading spaces are. I can't figure out how to make the html formatting display in the email the same way the html appears in the Python output (with the leading spaces). Is there a better way? Is there a better format than html to email formatted dataframes?
- Python 3.5.2
- Pandas 0.18.1
- Numpy 1.11.1
1 answers
solution1
3 2017-02-01 00:54:21
I assume you want to use leading spaces in table cells to format the table in the email. This won't work because the blanks will be merged.
You can replace two spaces with no-break space and it will make the mail look a bit different, not ideal though.
def email(bodytext = 'No data...check your function arguments', dftoconvert = None, replace=False):
region = 'us-west-2'
user = '' #insert your access key to use when creating the client
pw = '' #insert the secret key to use when creating the client
client = boto3.client(service_name = 'ses',
region_name = region,
aws_access_key_id = user,
aws_secret_access_key = pw)
me = 'me@example.com'
you = ['you@example.com']
subject = 'testSUBJECT'
COMMASPACE = ', '
you = COMMASPACE.join(you)
#Build email message parts
#Build and send email
destination = { 'ToAddresses' : [you],
'CcAddresses' : [],
'BccAddresses' : []}
try:
bodyhtml = dftoconvert.to_html(float_format = lambda x: '({:15,.2f})'.format(abs(x)) if x < 0 else '+{:15,.2f}+'.format(abs(x)))
# use no-break space instead of two spaces next to each other
if replace:
bodyhtml = bodyhtml.replace(' ', ' ')
message = {'Subject' : {'Data' : subject},
'Body': {'Html' : {'Data' : bodyhtml}}}
except NoneType: #If there is no data to convert to html
message = {'Subject' : {'Data' : subject},
'Body': {'Text' : {'Data' : bodytext}}}
except Exception as e:
print(e)
result = client.send_email(Source = me,
Destination = destination,
Message = message)
return result if 'ErrorResponse' in result else ''
email(dftoconvert=df)
email(dftoconvert=df, replace=True)
The result looks like this:
and with space replaced:
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