How to write the data in Python data frames back into database
I can connect to a SAP HANA database (in SAP Cloud) using the code below and successfully fetch data into a data frame:
# Connecting to the Database and without the Column Name
connection = pyhdb.connect('localhost', 30111, 'RRR', 'PsW')
cursor = connection.cursor()
cursor.execute("""
SELECT * FROM PAL.VEGETARIAN_PREDICTION
""")
# ab = cursor.fetchall()
data = pd.DataFrame(cursor.fetchall())
Now I got the dataframe, but how can I save the data back to the database? Any coding can provide? Thanks.
python pandas connection hana
add a comment |
I can connect to a SAP HANA database (in SAP Cloud) using the code below and successfully fetch data into a data frame:
# Connecting to the Database and without the Column Name
connection = pyhdb.connect('localhost', 30111, 'RRR', 'PsW')
cursor = connection.cursor()
cursor.execute("""
SELECT * FROM PAL.VEGETARIAN_PREDICTION
""")
# ab = cursor.fetchall()
data = pd.DataFrame(cursor.fetchall())
Now I got the dataframe, but how can I save the data back to the database? Any coding can provide? Thanks.
python pandas connection hana
add a comment |
I can connect to a SAP HANA database (in SAP Cloud) using the code below and successfully fetch data into a data frame:
# Connecting to the Database and without the Column Name
connection = pyhdb.connect('localhost', 30111, 'RRR', 'PsW')
cursor = connection.cursor()
cursor.execute("""
SELECT * FROM PAL.VEGETARIAN_PREDICTION
""")
# ab = cursor.fetchall()
data = pd.DataFrame(cursor.fetchall())
Now I got the dataframe, but how can I save the data back to the database? Any coding can provide? Thanks.
python pandas connection hana
I can connect to a SAP HANA database (in SAP Cloud) using the code below and successfully fetch data into a data frame:
# Connecting to the Database and without the Column Name
connection = pyhdb.connect('localhost', 30111, 'RRR', 'PsW')
cursor = connection.cursor()
cursor.execute("""
SELECT * FROM PAL.VEGETARIAN_PREDICTION
""")
# ab = cursor.fetchall()
data = pd.DataFrame(cursor.fetchall())
Now I got the dataframe, but how can I save the data back to the database? Any coding can provide? Thanks.
python pandas connection hana
python pandas connection hana
edited Nov 15 '18 at 21:33
Lars Br.
5,2052724
5,2052724
asked Nov 15 '18 at 1:34
Nate LiuNate Liu
237
237
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function ()
StackExchange.using("externalEditor", function ()
StackExchange.using("snippets", function ()
StackExchange.snippets.init();
);
);
, "code-snippets");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "1"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53311226%2fhow-to-write-the-data-in-python-data-frames-back-into-database%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53311226%2fhow-to-write-the-data-in-python-data-frames-back-into-database%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown