After atype value , there is no date format
-1
When dealing with the data, it shows the date value with some problem of the format.
Fuel price DATE
0 Diesel 1669 2014-11-06
1 Diesel 1549 2014-11-02
2 Diesel 1529 2014-11-03
3 Diesel 1519 2014-11-06
4 Diesel 1529 2014-11-06
So I do this:
import numpy as np
df_diesel['DATE']= df_diesel['DATE'].values.astype(np.int64)
df_diesel['DATE'].dtype
then, It could plot successfully. But the date format 2014-11-06 disappeared, transferred to 1544054400000000000. If I did not do this, I could not merge table or plot. That is trouble.
How to merge table and plot successfully and have the date format which won't
show 1544054400000000000 again.
the code for plotting:
from matplotlib import pyplot as plt
%matplotlib inline
plt.title("Analyse")
plt.xlabel("DATE")
plt.ylabel("price")
plt.scatter(df_diesel['DATE'], df_diesel['price'])
plt.show()
python pandas numpy matplotlib
asked Jan 20 at 0:04
AAlexAAlex
235
add a comment |
-1
When dealing with the data, it shows the date value with some problem of the format.
Fuel price DATE
0 Diesel 1669 2014-11-06
1 Diesel 1549 2014-11-02
2 Diesel 1529 2014-11-03
3 Diesel 1519 2014-11-06
4 Diesel 1529 2014-11-06
So I do this:
import numpy as np
df_diesel['DATE']= df_diesel['DATE'].values.astype(np.int64)
df_diesel['DATE'].dtype
then, It could plot successfully. But the date format 2014-11-06 disappeared, transferred to 1544054400000000000. If I did not do this, I could not merge table or plot. That is trouble.
How to merge table and plot successfully and have the date format which won't
show 1544054400000000000 again.
the code for plotting:
from matplotlib import pyplot as plt
%matplotlib inline
plt.title("Analyse")
plt.xlabel("DATE")
plt.ylabel("price")
plt.scatter(df_diesel['DATE'], df_diesel['price'])
plt.show()
python pandas numpy matplotlib
asked Jan 20 at 0:04
AAlexAAlex
235
Can you share your dataframe ?
– Abdur Rehman
Jan 20 at 0:08
I add the dataframe now.
– AAlex
Jan 20 at 0:15
add a comment |
-1
-1
-1
When dealing with the data, it shows the date value with some problem of the format.
Fuel price DATE
0 Diesel 1669 2014-11-06
1 Diesel 1549 2014-11-02
2 Diesel 1529 2014-11-03
3 Diesel 1519 2014-11-06
4 Diesel 1529 2014-11-06
So I do this:
import numpy as np
df_diesel['DATE']= df_diesel['DATE'].values.astype(np.int64)
df_diesel['DATE'].dtype
then, It could plot successfully. But the date format 2014-11-06 disappeared, transferred to 1544054400000000000. If I did not do this, I could not merge table or plot. That is trouble.
How to merge table and plot successfully and have the date format which won't
show 1544054400000000000 again.
the code for plotting:
from matplotlib import pyplot as plt
%matplotlib inline
plt.title("Analyse")
plt.xlabel("DATE")
plt.ylabel("price")
plt.scatter(df_diesel['DATE'], df_diesel['price'])
plt.show()
python pandas numpy matplotlib
asked Jan 20 at 0:04
AAlexAAlex
235
When dealing with the data, it shows the date value with some problem of the format.
Fuel price DATE
0 Diesel 1669 2014-11-06
1 Diesel 1549 2014-11-02
2 Diesel 1529 2014-11-03
3 Diesel 1519 2014-11-06
4 Diesel 1529 2014-11-06
So I do this:
import numpy as np
df_diesel['DATE']= df_diesel['DATE'].values.astype(np.int64)
df_diesel['DATE'].dtype
then, It could plot successfully. But the date format 2014-11-06 disappeared, transferred to 1544054400000000000. If I did not do this, I could not merge table or plot. That is trouble.
How to merge table and plot successfully and have the date format which won't
show 1544054400000000000 again.
the code for plotting:
from matplotlib import pyplot as plt
%matplotlib inline
plt.title("Analyse")
plt.xlabel("DATE")
plt.ylabel("price")
plt.scatter(df_diesel['DATE'], df_diesel['price'])
plt.show()
python pandas numpy matplotlib
python pandas numpy matplotlib
asked Jan 20 at 0:04
AAlexAAlex
235
asked Jan 20 at 0:04
AAlexAAlex
235
edited Jan 20 at 1:05
AAlex
asked Jan 20 at 0:04
AAlexAAlex
235
asked Jan 20 at 0:04
AAlexAAlex
235
asked Jan 20 at 0:04
AAlexAAlex
235
235
Can you share your dataframe ?
– Abdur Rehman
Jan 20 at 0:08
I add the dataframe now.
– AAlex
Jan 20 at 0:15
add a comment |
Can you share your dataframe ?
– Abdur Rehman
Jan 20 at 0:08
I add the dataframe now.
– AAlex
Jan 20 at 0:15
Can you share your dataframe ?
– Abdur Rehman
Jan 20 at 0:08
Can you share your dataframe ?
– Abdur Rehman
Jan 20 at 0:08
I add the dataframe now.
– AAlex
Jan 20 at 0:15
I add the dataframe now.
– AAlex
Jan 20 at 0:15
add a comment |
1 Answer
1
active
oldest
votes
2
I am considering only date column,
Input:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
df['DATE']= df['DATE'].values.astype(np.int64)
df
Output:
DATE Fuel Price
0 1415232000000000000 Diesel 1669
1 1414886400000000000 Diesel 1549
2 1414972800000000000 Diesel 1529
3 1415232000000000000 Diesel 1519
4 1415232000000000000 Diesel 1529
Date has been converted into timestamp. To convert it back into original format, just do,
df['DATE'] = pd.to_datetime(df['DATE'], unit='ns')
df
Output:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
Now, plot by using this,
from matplotlib import pyplot as plt
%matplotlib inline
plt.title("Analyse")
plt.xlabel("DATE")
plt.ylabel("Price")
plt.scatter(list(df['DATE'].values), list(df['Price'].values))
plt.show()
Output:
answered Jan 20 at 0:27
Abdur RehmanAbdur Rehman
498510
I tried the code, and it returned TypeError: invalid type promotion. It could not plot now.
– AAlex
Jan 20 at 0:43
In question, you said you are getting successful plot and now your problem is to get original date format back so I solved this in this way. You should do for plotting as you was doing before and to get back dates to original format, you can follow my code.
– Abdur Rehman
Jan 20 at 0:54
After plotting, it could not do your code to format the date.
– AAlex
Jan 20 at 0:59
Share your whole code I want to see where exactly the problem is.
– Abdur Rehman
Jan 20 at 0:59
After plotting the graph, the date already showed 1544054400000000000, how could change the 1544054400000000000 on the graph?
– AAlex
Jan 20 at 1:02
|
show 3 more comments
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
});
}
});
draft saved
draft discarded
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%2f54272441%2fafter-atype-value-there-is-no-date-format%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
2
I am considering only date column,
Input:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
df['DATE']= df['DATE'].values.astype(np.int64)
df
Output:
DATE Fuel Price
0 1415232000000000000 Diesel 1669
1 1414886400000000000 Diesel 1549
2 1414972800000000000 Diesel 1529
3 1415232000000000000 Diesel 1519
4 1415232000000000000 Diesel 1529
Date has been converted into timestamp. To convert it back into original format, just do,
df['DATE'] = pd.to_datetime(df['DATE'], unit='ns')
df
Output:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
Now, plot by using this,
from matplotlib import pyplot as plt
%matplotlib inline
plt.title("Analyse")
plt.xlabel("DATE")
plt.ylabel("Price")
plt.scatter(list(df['DATE'].values), list(df['Price'].values))
plt.show()
Output:
answered Jan 20 at 0:27
Abdur RehmanAbdur Rehman
498510
I tried the code, and it returned TypeError: invalid type promotion. It could not plot now.
– AAlex
Jan 20 at 0:43
In question, you said you are getting successful plot and now your problem is to get original date format back so I solved this in this way. You should do for plotting as you was doing before and to get back dates to original format, you can follow my code.
– Abdur Rehman
Jan 20 at 0:54
After plotting, it could not do your code to format the date.
– AAlex
Jan 20 at 0:59
Share your whole code I want to see where exactly the problem is.
– Abdur Rehman
Jan 20 at 0:59
After plotting the graph, the date already showed 1544054400000000000, how could change the 1544054400000000000 on the graph?
– AAlex
Jan 20 at 1:02
|
show 3 more comments
2
I am considering only date column,
Input:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
df['DATE']= df['DATE'].values.astype(np.int64)
df
Output:
DATE Fuel Price
0 1415232000000000000 Diesel 1669
1 1414886400000000000 Diesel 1549
2 1414972800000000000 Diesel 1529
3 1415232000000000000 Diesel 1519
4 1415232000000000000 Diesel 1529
Date has been converted into timestamp. To convert it back into original format, just do,
df['DATE'] = pd.to_datetime(df['DATE'], unit='ns')
df
Output:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
Now, plot by using this,
from matplotlib import pyplot as plt
%matplotlib inline
plt.title("Analyse")
plt.xlabel("DATE")
plt.ylabel("Price")
plt.scatter(list(df['DATE'].values), list(df['Price'].values))
plt.show()
Output:
answered Jan 20 at 0:27
Abdur RehmanAbdur Rehman
498510
I tried the code, and it returned TypeError: invalid type promotion. It could not plot now.
– AAlex
Jan 20 at 0:43
In question, you said you are getting successful plot and now your problem is to get original date format back so I solved this in this way. You should do for plotting as you was doing before and to get back dates to original format, you can follow my code.
– Abdur Rehman
Jan 20 at 0:54
After plotting, it could not do your code to format the date.
– AAlex
Jan 20 at 0:59
Share your whole code I want to see where exactly the problem is.
– Abdur Rehman
Jan 20 at 0:59
After plotting the graph, the date already showed 1544054400000000000, how could change the 1544054400000000000 on the graph?
– AAlex
Jan 20 at 1:02
|
show 3 more comments
2
2
2
I am considering only date column,
Input:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
df['DATE']= df['DATE'].values.astype(np.int64)
df
Output:
DATE Fuel Price
0 1415232000000000000 Diesel 1669
1 1414886400000000000 Diesel 1549
2 1414972800000000000 Diesel 1529
3 1415232000000000000 Diesel 1519
4 1415232000000000000 Diesel 1529
Date has been converted into timestamp. To convert it back into original format, just do,
df['DATE'] = pd.to_datetime(df['DATE'], unit='ns')
df
Output:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
Now, plot by using this,
from matplotlib import pyplot as plt
%matplotlib inline
plt.title("Analyse")
plt.xlabel("DATE")
plt.ylabel("Price")
plt.scatter(list(df['DATE'].values), list(df['Price'].values))
plt.show()
Output:
answered Jan 20 at 0:27
Abdur RehmanAbdur Rehman
498510
I am considering only date column,
Input:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
df['DATE']= df['DATE'].values.astype(np.int64)
df
Output:
DATE Fuel Price
0 1415232000000000000 Diesel 1669
1 1414886400000000000 Diesel 1549
2 1414972800000000000 Diesel 1529
3 1415232000000000000 Diesel 1519
4 1415232000000000000 Diesel 1529
Date has been converted into timestamp. To convert it back into original format, just do,
df['DATE'] = pd.to_datetime(df['DATE'], unit='ns')
df
Output:
DATE Fuel Price
0 2014-11-06 Diesel 1669
1 2014-11-02 Diesel 1549
2 2014-11-03 Diesel 1529
3 2014-11-06 Diesel 1519
4 2014-11-06 Diesel 1529
Now, plot by using this,
from matplotlib import pyplot as plt
%matplotlib inline
plt.title("Analyse")
plt.xlabel("DATE")
plt.ylabel("Price")
plt.scatter(list(df['DATE'].values), list(df['Price'].values))
plt.show()
Output:
answered Jan 20 at 0:27
Abdur RehmanAbdur Rehman
498510
edited Jan 20 at 1:26
answered Jan 20 at 0:27
Abdur RehmanAbdur Rehman
498510
answered Jan 20 at 0:27
Abdur RehmanAbdur Rehman
498510
answered Jan 20 at 0:27
Abdur RehmanAbdur Rehman
498510
498510
I tried the code, and it returned TypeError: invalid type promotion. It could not plot now.
– AAlex
Jan 20 at 0:43
In question, you said you are getting successful plot and now your problem is to get original date format back so I solved this in this way. You should do for plotting as you was doing before and to get back dates to original format, you can follow my code.
– Abdur Rehman
Jan 20 at 0:54
After plotting, it could not do your code to format the date.
– AAlex
Jan 20 at 0:59
Share your whole code I want to see where exactly the problem is.
– Abdur Rehman
Jan 20 at 0:59
After plotting the graph, the date already showed 1544054400000000000, how could change the 1544054400000000000 on the graph?
– AAlex
Jan 20 at 1:02
|
show 3 more comments
I tried the code, and it returned TypeError: invalid type promotion. It could not plot now.
– AAlex
Jan 20 at 0:43
In question, you said you are getting successful plot and now your problem is to get original date format back so I solved this in this way. You should do for plotting as you was doing before and to get back dates to original format, you can follow my code.
– Abdur Rehman
Jan 20 at 0:54
After plotting, it could not do your code to format the date.
– AAlex
Jan 20 at 0:59
Share your whole code I want to see where exactly the problem is.
– Abdur Rehman
Jan 20 at 0:59
After plotting the graph, the date already showed 1544054400000000000, how could change the 1544054400000000000 on the graph?
– AAlex
Jan 20 at 1:02
I tried the code, and it returned TypeError: invalid type promotion. It could not plot now.
– AAlex
Jan 20 at 0:43
I tried the code, and it returned TypeError: invalid type promotion. It could not plot now.
– AAlex
Jan 20 at 0:43
In question, you said you are getting successful plot and now your problem is to get original date format back so I solved this in this way. You should do for plotting as you was doing before and to get back dates to original format, you can follow my code.
– Abdur Rehman
Jan 20 at 0:54
In question, you said you are getting successful plot and now your problem is to get original date format back so I solved this in this way. You should do for plotting as you was doing before and to get back dates to original format, you can follow my code.
– Abdur Rehman
Jan 20 at 0:54
After plotting, it could not do your code to format the date.
– AAlex
Jan 20 at 0:59
After plotting, it could not do your code to format the date.
– AAlex
Jan 20 at 0:59
Share your whole code I want to see where exactly the problem is.
– Abdur Rehman
Jan 20 at 0:59
Share your whole code I want to see where exactly the problem is.
– Abdur Rehman
Jan 20 at 0:59
After plotting the graph, the date already showed 1544054400000000000, how could change the 1544054400000000000 on the graph?
– AAlex
Jan 20 at 1:02
After plotting the graph, the date already showed 1544054400000000000, how could change the 1544054400000000000 on the graph?
– AAlex
Jan 20 at 1:02
|
show 3 more comments
draft saved
draft discarded
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.
draft saved
draft discarded
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%2f54272441%2fafter-atype-value-there-is-no-date-format%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
Can you share your dataframe ?
– Abdur Rehman
Jan 20 at 0:08
I add the dataframe now.
– AAlex
Jan 20 at 0:15