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How do I send a styled pandas DataFrame by e-mail without losing the format?


How do I send a styled pandas DataFrame by e-mail without losing the format?

By : user3042433
Date : November 28 2020, 12:01 PM
To fix this issue I was able to find an answer to my question following this post: how to draw a beautiful colorful table with pandas or other package in Python?
Essentially, if you use the .set_table_styles to add the borders after adding the colors to the cells, the html code sent by e-mail will be displayed properly. I hope it helps anyone with the same issue.
code :


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Send pandas dataframe data as html e-mail

Send pandas dataframe data as html e-mail


By : spinlock
Date : March 29 2020, 07:55 AM
around this issue I want to send a pandas dataframe data as an HTML e-mail. Based on this post I could create an html with the dataframe. Code , Finally found. This is the way it should be done.
code :
filename = "test.html"
f = file(filename)
attachment = MIMEText(f.read(),'html')
msg.attach(attachment)
How can I transform a dataframe in pandas without losing my index?

How can I transform a dataframe in pandas without losing my index?


By : Jens Rydenheim
Date : March 29 2020, 07:55 AM
wish help you to fix your issue You can do this inplace to the original dataframe.
From the description of your question, it sounds like you are confusing rows and columns (i.e. you first say your dataframe has 12 columns, and then say the number of columns was reduced from 100 to 80).
code :
import numpy as np
import scipy.stats
import pandas as pd

np.random.seed(0)
df = pd.DataFrame(np.random.randn(7, 5), columns=list('ABCDE'))
df.iat[1, 0] = np.nan
df.iat[3, 1] = np.nan
df.iat[5, 2] = np.nan

>>> df
          A         B         C         D         E
0  1.764052  0.400157  0.978738  2.240893  1.867558
1       NaN  0.950088 -0.151357 -0.103219  0.410599
2  0.144044  1.454274  0.761038  0.121675  0.443863
3  0.333674       NaN -0.205158  0.313068 -0.854096
4 -2.552990  0.653619  0.864436 -0.742165  2.269755
5 -1.454366  0.045759       NaN  1.532779  1.469359
6  0.154947  0.378163 -0.887786 -1.980796 -0.347912
mask = df.notnull().all(axis=1), ['A', 'B']
df.loc[mask] = scipy.stats.mstats.winsorize(df.loc[mask].values, limits=0.4)
>>> df
          A         B         C         D         E
0  0.400157  0.400157  0.978738  2.240893  1.867558
1       NaN  0.950088 -0.151357 -0.103219  0.410599
2  0.378163  0.400157  0.761038  0.121675  0.443863
3  0.333674       NaN -0.205158  0.313068 -0.854096
4  0.378163  0.400157  0.864436 -0.742165  2.269755
5 -1.454366  0.045759       NaN  1.532779  1.469359
6  0.378163  0.378163 -0.887786 -1.980796 -0.347912
How to shift a column in Pandas DataFrame without losing value

How to shift a column in Pandas DataFrame without losing value


By : MH_
Date : March 29 2020, 07:55 AM
around this issue Use loc to add a new blank row to the DataFrame, then perform the shift.
code :
df.loc[max(df.index)+1, :] = None
df.x2 = df.x2.shift(1)
Losing keys in pandas dataframe when after using groupby

Losing keys in pandas dataframe when after using groupby


By : Suzana Stevic Petkov
Date : March 29 2020, 07:55 AM
I wish this helpful for you How to GroupBy a Dataframe in Pandas and keep Columns
Just found the answer I didn't find with my previous queries:
code :
trial = mini_agg.groupby(['date','product','product_type_1','product_type_2','product_type_3','product_type_4']).sum().reset_index()
Loop through pandas dataframe, insert recipient and dataframe into Outlook e-mail

Loop through pandas dataframe, insert recipient and dataframe into Outlook e-mail


By : danikiev
Date : March 29 2020, 07:55 AM
seems to work fine I think you're looking for pandas dataframe.to_string to create a readable string from your dataframe. Then you can do something like:
code :
for i in df['Email'].unique():
    create_mail(i)
df[df['Email'] == i].to_string()
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