Data Scraping: appending data doesn't work
I have an Excel file (Compay, Start_Date, End_Date) from which I want to read the components and find the stock data available from the NSE website and save that data to a CSV file.
So I am trying this code:
cf = pd.read_csv('Company.csv')
cf['START_DT']=pd.to_datetime(cf['START_DT'])
cf['END_DT']=pd.to_datetime(cf['END_DT'])
cf
OUTPUT -
COMPANY START_DT END_DT
0 SBIN 2014-01-01 2018-01-01
1 PNB 2014-01-01 2018-01-01
2 INFY 2014-01-01 2018-01-01
for index,row in cf.iterrows():
start_dt=row['START_DT']
end_dt=row['END_DT']
data = get_history(symbol=row['COMPANY'], start=start_dt, end=end_dt)
print(data)
data.to_csv('data.csv', sep=',')
Howevery, the data stored is only the data of the last company. I have tried to append the data using a dataframe but it does not work neither.
How can I fix this?
python pandas anaconda
edited Nov 25 '18 at 7:21
petezurich
3,55581734
asked Nov 25 '18 at 7:13
Patit Pawan BarikPatit Pawan Barik
161
add a comment |
I have an Excel file (Compay, Start_Date, End_Date) from which I want to read the components and find the stock data available from the NSE website and save that data to a CSV file.
So I am trying this code:
cf = pd.read_csv('Company.csv')
cf['START_DT']=pd.to_datetime(cf['START_DT'])
cf['END_DT']=pd.to_datetime(cf['END_DT'])
cf
OUTPUT -
COMPANY START_DT END_DT
0 SBIN 2014-01-01 2018-01-01
1 PNB 2014-01-01 2018-01-01
2 INFY 2014-01-01 2018-01-01
for index,row in cf.iterrows():
start_dt=row['START_DT']
end_dt=row['END_DT']
data = get_history(symbol=row['COMPANY'], start=start_dt, end=end_dt)
print(data)
data.to_csv('data.csv', sep=',')
Howevery, the data stored is only the data of the last company. I have tried to append the data using a dataframe but it does not work neither.
How can I fix this?
python pandas anaconda
edited Nov 25 '18 at 7:21
petezurich
3,55581734
asked Nov 25 '18 at 7:13
Patit Pawan BarikPatit Pawan Barik
161
add a comment |
I have an Excel file (Compay, Start_Date, End_Date) from which I want to read the components and find the stock data available from the NSE website and save that data to a CSV file.
So I am trying this code:
cf = pd.read_csv('Company.csv')
cf['START_DT']=pd.to_datetime(cf['START_DT'])
cf['END_DT']=pd.to_datetime(cf['END_DT'])
cf
OUTPUT -
COMPANY START_DT END_DT
0 SBIN 2014-01-01 2018-01-01
1 PNB 2014-01-01 2018-01-01
2 INFY 2014-01-01 2018-01-01
for index,row in cf.iterrows():
start_dt=row['START_DT']
end_dt=row['END_DT']
data = get_history(symbol=row['COMPANY'], start=start_dt, end=end_dt)
print(data)
data.to_csv('data.csv', sep=',')
Howevery, the data stored is only the data of the last company. I have tried to append the data using a dataframe but it does not work neither.
How can I fix this?
python pandas anaconda
edited Nov 25 '18 at 7:21
petezurich
3,55581734
asked Nov 25 '18 at 7:13
Patit Pawan BarikPatit Pawan Barik
161
I have an Excel file (Compay, Start_Date, End_Date) from which I want to read the components and find the stock data available from the NSE website and save that data to a CSV file.
So I am trying this code:
cf = pd.read_csv('Company.csv')
cf['START_DT']=pd.to_datetime(cf['START_DT'])
cf['END_DT']=pd.to_datetime(cf['END_DT'])
cf
OUTPUT -
COMPANY START_DT END_DT
0 SBIN 2014-01-01 2018-01-01
1 PNB 2014-01-01 2018-01-01
2 INFY 2014-01-01 2018-01-01
for index,row in cf.iterrows():
start_dt=row['START_DT']
end_dt=row['END_DT']
data = get_history(symbol=row['COMPANY'], start=start_dt, end=end_dt)
print(data)
data.to_csv('data.csv', sep=',')
Howevery, the data stored is only the data of the last company. I have tried to append the data using a dataframe but it does not work neither.
How can I fix this?
python pandas anaconda
python pandas anaconda
edited Nov 25 '18 at 7:21
petezurich
3,55581734
asked Nov 25 '18 at 7:13
Patit Pawan BarikPatit Pawan Barik
161
edited Nov 25 '18 at 7:21
petezurich
3,55581734
asked Nov 25 '18 at 7:13
Patit Pawan BarikPatit Pawan Barik
161
edited Nov 25 '18 at 7:21
petezurich
3,55581734
edited Nov 25 '18 at 7:21
petezurich
3,55581734
edited Nov 25 '18 at 7:21
petezurich
3,55581734
3,55581734
asked Nov 25 '18 at 7:13
Patit Pawan BarikPatit Pawan Barik
161
asked Nov 25 '18 at 7:13
Patit Pawan BarikPatit Pawan Barik
161
asked Nov 25 '18 at 7:13
Patit Pawan BarikPatit Pawan Barik
161
161
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Here is necessary create list of all DataFrames via append and concat together:
dfs =
for index,row in cf.iterrows():
start_dt=row['START_DT']
end_dt=row['END_DT']
data = get_history(symbol=row['COMPANY'], start=start_dt, end=end_dt)
dfs.append(data)
df = pd.concat(dfs)
df.to_csv('data.csv')
answered Nov 25 '18 at 7:36
jezraeljezrael
329k23270349
add a comment |
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%2f53465430%2fdata-scraping-appending-data-doesnt-work%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Here is necessary create list of all DataFrames via append and concat together:
dfs =
for index,row in cf.iterrows():
start_dt=row['START_DT']
end_dt=row['END_DT']
data = get_history(symbol=row['COMPANY'], start=start_dt, end=end_dt)
dfs.append(data)
df = pd.concat(dfs)
df.to_csv('data.csv')
answered Nov 25 '18 at 7:36
jezraeljezrael
329k23270349
add a comment |
Here is necessary create list of all DataFrames via append and concat together:
dfs =
for index,row in cf.iterrows():
start_dt=row['START_DT']
end_dt=row['END_DT']
data = get_history(symbol=row['COMPANY'], start=start_dt, end=end_dt)
dfs.append(data)
df = pd.concat(dfs)
df.to_csv('data.csv')
answered Nov 25 '18 at 7:36
jezraeljezrael
329k23270349
add a comment |
Here is necessary create list of all DataFrames via append and concat together:
dfs =
for index,row in cf.iterrows():
start_dt=row['START_DT']
end_dt=row['END_DT']
data = get_history(symbol=row['COMPANY'], start=start_dt, end=end_dt)
dfs.append(data)
df = pd.concat(dfs)
df.to_csv('data.csv')
answered Nov 25 '18 at 7:36
jezraeljezrael
329k23270349
Here is necessary create list of all DataFrames via append and concat together:
dfs =
for index,row in cf.iterrows():
start_dt=row['START_DT']
end_dt=row['END_DT']
data = get_history(symbol=row['COMPANY'], start=start_dt, end=end_dt)
dfs.append(data)
df = pd.concat(dfs)
df.to_csv('data.csv')
answered Nov 25 '18 at 7:36
jezraeljezrael
329k23270349
answered Nov 25 '18 at 7:36
jezraeljezrael
329k23270349
answered Nov 25 '18 at 7:36
jezraeljezrael
329k23270349
answered Nov 25 '18 at 7:36
jezraeljezrael
329k23270349
329k23270349
add a comment |
add a comment |
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%2f53465430%2fdata-scraping-appending-data-doesnt-work%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
