Comparing dataframe object with string value in django
$begingroup$
I'm implementing machine learning model and using training dataset from MySQL table and all this is built upon Django. So basically all the calculations are done by converting entire data from MySQL table to dataframe.
df = pd.read_sql("select * from naivebayes_player",connection)
However, I'm facing problem in comparing dataframe column value with a string.
So I have a column named classification in MySQL table which has 2 fixed values 'RS' or 'NRS' stored in varchar(10) format. Since I've converted an entire table into dataframe whenever I calculate the count of 'RS' values in classification column in dataframe it always returns 0. But actually, there are 63 entries of 'RS'.
total_RS = df['classification'][df['classification']=='RS'].count()
In above line of code I'm trying to find out all records where classification is 'RS' which should be 63 but I'm getting 0. What am I doing wrong?
I have tried above code when reading data from CSV instead of MySQL table and everything worked fine.
machine-learning pandas dataframe
asked Jan 13 '18 at 8:19
ScorpionkScorpionk
498
$endgroup$
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I'm implementing machine learning model and using training dataset from MySQL table and all this is built upon Django. So basically all the calculations are done by converting entire data from MySQL table to dataframe.
df = pd.read_sql("select * from naivebayes_player",connection)
However, I'm facing problem in comparing dataframe column value with a string.
So I have a column named classification in MySQL table which has 2 fixed values 'RS' or 'NRS' stored in varchar(10) format. Since I've converted an entire table into dataframe whenever I calculate the count of 'RS' values in classification column in dataframe it always returns 0. But actually, there are 63 entries of 'RS'.
total_RS = df['classification'][df['classification']=='RS'].count()
In above line of code I'm trying to find out all records where classification is 'RS' which should be 63 but I'm getting 0. What am I doing wrong?
I have tried above code when reading data from CSV instead of MySQL table and everything worked fine.
machine-learning pandas dataframe
asked Jan 13 '18 at 8:19
ScorpionkScorpionk
498
$endgroup$
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I'm implementing machine learning model and using training dataset from MySQL table and all this is built upon Django. So basically all the calculations are done by converting entire data from MySQL table to dataframe.
df = pd.read_sql("select * from naivebayes_player",connection)
However, I'm facing problem in comparing dataframe column value with a string.
So I have a column named classification in MySQL table which has 2 fixed values 'RS' or 'NRS' stored in varchar(10) format. Since I've converted an entire table into dataframe whenever I calculate the count of 'RS' values in classification column in dataframe it always returns 0. But actually, there are 63 entries of 'RS'.
total_RS = df['classification'][df['classification']=='RS'].count()
In above line of code I'm trying to find out all records where classification is 'RS' which should be 63 but I'm getting 0. What am I doing wrong?
I have tried above code when reading data from CSV instead of MySQL table and everything worked fine.
machine-learning pandas dataframe
asked Jan 13 '18 at 8:19
ScorpionkScorpionk
498
$endgroup$
I'm implementing machine learning model and using training dataset from MySQL table and all this is built upon Django. So basically all the calculations are done by converting entire data from MySQL table to dataframe.
df = pd.read_sql("select * from naivebayes_player",connection)
However, I'm facing problem in comparing dataframe column value with a string.
So I have a column named classification in MySQL table which has 2 fixed values 'RS' or 'NRS' stored in varchar(10) format. Since I've converted an entire table into dataframe whenever I calculate the count of 'RS' values in classification column in dataframe it always returns 0. But actually, there are 63 entries of 'RS'.
total_RS = df['classification'][df['classification']=='RS'].count()
In above line of code I'm trying to find out all records where classification is 'RS' which should be 63 but I'm getting 0. What am I doing wrong?
I have tried above code when reading data from CSV instead of MySQL table and everything worked fine.
machine-learning pandas dataframe
machine-learning pandas dataframe
asked Jan 13 '18 at 8:19
ScorpionkScorpionk
498
asked Jan 13 '18 at 8:19
ScorpionkScorpionk
498
asked Jan 13 '18 at 8:19
ScorpionkScorpionk
498
asked Jan 13 '18 at 8:19
ScorpionkScorpionk
498
asked Jan 13 '18 at 8:19
ScorpionkScorpionk
498
498
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 9 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
I don't see anything glaringly wrong with your code, but you can try this instead:
df['classification'].value_counts()['RS']
If you omit the indexing at the end there, the call to value_counts() will concretely show you what values appear with what frequency in the classification column, which might help you debug what's going on if this still doesn't work.
answered Jan 13 '18 at 8:40
David MarxDavid Marx
2,202412
$endgroup$
$begingroup$
thank you for your response. I have tried above method it throws KeyError at that line. Exception Type: KeyError, Exception Value: 'RS'
$endgroup$
– Scorpionk
Jan 13 '18 at 15:18
$begingroup$
Right, my suggestion in my answer was if that happens, omit the last index to see what's going on. Runningdf['classification'].value_counts()will show tiki each value in that column and their frequencies, since pandas is telling youRSdoesn't actually occur in that column.
$endgroup$
– David Marx
Jan 13 '18 at 17:09
$begingroup$
'RS' is there in the column. Maybe the problem is with the data type at the time of comparison. Since the same code works with CSV.
$endgroup$
– Scorpionk
Jan 14 '18 at 7:12
$begingroup$
It appears in the output of.value_counts()? Maybe there's whitespace in the field value, e.g. rather than'RS'it's actually'RS '
$endgroup$
– David Marx
Jan 14 '18 at 7:20
$begingroup$
Actually, I'm on busy schedule right now. Will let you know before tonight about .value_counts() result.
$endgroup$
– Scorpionk
Jan 16 '18 at 12:39
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "557"
};
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: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
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%2fdatascience.stackexchange.com%2fquestions%2f26587%2fcomparing-dataframe-object-with-string-value-in-django%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
$begingroup$
I don't see anything glaringly wrong with your code, but you can try this instead:
df['classification'].value_counts()['RS']
If you omit the indexing at the end there, the call to value_counts() will concretely show you what values appear with what frequency in the classification column, which might help you debug what's going on if this still doesn't work.
answered Jan 13 '18 at 8:40
David MarxDavid Marx
2,202412
$endgroup$
$begingroup$
thank you for your response. I have tried above method it throws KeyError at that line. Exception Type: KeyError, Exception Value: 'RS'
$endgroup$
– Scorpionk
Jan 13 '18 at 15:18
$begingroup$
Right, my suggestion in my answer was if that happens, omit the last index to see what's going on. Runningdf['classification'].value_counts()will show tiki each value in that column and their frequencies, since pandas is telling youRSdoesn't actually occur in that column.
$endgroup$
– David Marx
Jan 13 '18 at 17:09
$begingroup$
'RS' is there in the column. Maybe the problem is with the data type at the time of comparison. Since the same code works with CSV.
$endgroup$
– Scorpionk
Jan 14 '18 at 7:12
$begingroup$
It appears in the output of.value_counts()? Maybe there's whitespace in the field value, e.g. rather than'RS'it's actually'RS '
$endgroup$
– David Marx
Jan 14 '18 at 7:20
$begingroup$
Actually, I'm on busy schedule right now. Will let you know before tonight about .value_counts() result.
$endgroup$
– Scorpionk
Jan 16 '18 at 12:39
add a comment |
$begingroup$
I don't see anything glaringly wrong with your code, but you can try this instead:
df['classification'].value_counts()['RS']
If you omit the indexing at the end there, the call to value_counts() will concretely show you what values appear with what frequency in the classification column, which might help you debug what's going on if this still doesn't work.
answered Jan 13 '18 at 8:40
David MarxDavid Marx
2,202412
$endgroup$
$begingroup$
thank you for your response. I have tried above method it throws KeyError at that line. Exception Type: KeyError, Exception Value: 'RS'
$endgroup$
– Scorpionk
Jan 13 '18 at 15:18
$begingroup$
Right, my suggestion in my answer was if that happens, omit the last index to see what's going on. Runningdf['classification'].value_counts()will show tiki each value in that column and their frequencies, since pandas is telling youRSdoesn't actually occur in that column.
$endgroup$
– David Marx
Jan 13 '18 at 17:09
$begingroup$
'RS' is there in the column. Maybe the problem is with the data type at the time of comparison. Since the same code works with CSV.
$endgroup$
– Scorpionk
Jan 14 '18 at 7:12
$begingroup$
It appears in the output of.value_counts()? Maybe there's whitespace in the field value, e.g. rather than'RS'it's actually'RS '
$endgroup$
– David Marx
Jan 14 '18 at 7:20
$begingroup$
Actually, I'm on busy schedule right now. Will let you know before tonight about .value_counts() result.
$endgroup$
– Scorpionk
Jan 16 '18 at 12:39
add a comment |
$begingroup$
I don't see anything glaringly wrong with your code, but you can try this instead:
df['classification'].value_counts()['RS']
If you omit the indexing at the end there, the call to value_counts() will concretely show you what values appear with what frequency in the classification column, which might help you debug what's going on if this still doesn't work.
answered Jan 13 '18 at 8:40
David MarxDavid Marx
2,202412
$endgroup$
I don't see anything glaringly wrong with your code, but you can try this instead:
df['classification'].value_counts()['RS']
If you omit the indexing at the end there, the call to value_counts() will concretely show you what values appear with what frequency in the classification column, which might help you debug what's going on if this still doesn't work.
answered Jan 13 '18 at 8:40
David MarxDavid Marx
2,202412
answered Jan 13 '18 at 8:40
David MarxDavid Marx
2,202412
answered Jan 13 '18 at 8:40
David MarxDavid Marx
2,202412
answered Jan 13 '18 at 8:40
David MarxDavid Marx
2,202412
2,202412
$begingroup$
thank you for your response. I have tried above method it throws KeyError at that line. Exception Type: KeyError, Exception Value: 'RS'
$endgroup$
– Scorpionk
Jan 13 '18 at 15:18
$begingroup$
Right, my suggestion in my answer was if that happens, omit the last index to see what's going on. Runningdf['classification'].value_counts()will show tiki each value in that column and their frequencies, since pandas is telling youRSdoesn't actually occur in that column.
$endgroup$
– David Marx
Jan 13 '18 at 17:09
$begingroup$
'RS' is there in the column. Maybe the problem is with the data type at the time of comparison. Since the same code works with CSV.
$endgroup$
– Scorpionk
Jan 14 '18 at 7:12
$begingroup$
It appears in the output of.value_counts()? Maybe there's whitespace in the field value, e.g. rather than'RS'it's actually'RS '
$endgroup$
– David Marx
Jan 14 '18 at 7:20
$begingroup$
Actually, I'm on busy schedule right now. Will let you know before tonight about .value_counts() result.
$endgroup$
– Scorpionk
Jan 16 '18 at 12:39
add a comment |
$begingroup$
thank you for your response. I have tried above method it throws KeyError at that line. Exception Type: KeyError, Exception Value: 'RS'
$endgroup$
– Scorpionk
Jan 13 '18 at 15:18
$begingroup$
Right, my suggestion in my answer was if that happens, omit the last index to see what's going on. Runningdf['classification'].value_counts()will show tiki each value in that column and their frequencies, since pandas is telling youRSdoesn't actually occur in that column.
$endgroup$
– David Marx
Jan 13 '18 at 17:09
$begingroup$
'RS' is there in the column. Maybe the problem is with the data type at the time of comparison. Since the same code works with CSV.
$endgroup$
– Scorpionk
Jan 14 '18 at 7:12
$begingroup$
It appears in the output of.value_counts()? Maybe there's whitespace in the field value, e.g. rather than'RS'it's actually'RS '
$endgroup$
– David Marx
Jan 14 '18 at 7:20
$begingroup$
Actually, I'm on busy schedule right now. Will let you know before tonight about .value_counts() result.
$endgroup$
– Scorpionk
Jan 16 '18 at 12:39
$begingroup$
thank you for your response. I have tried above method it throws KeyError at that line. Exception Type: KeyError, Exception Value: 'RS'
$endgroup$
– Scorpionk
Jan 13 '18 at 15:18
$begingroup$
thank you for your response. I have tried above method it throws KeyError at that line. Exception Type: KeyError, Exception Value: 'RS'
$endgroup$
– Scorpionk
Jan 13 '18 at 15:18
$begingroup$
Right, my suggestion in my answer was if that happens, omit the last index to see what's going on. Running
df['classification'].value_counts() will show tiki each value in that column and their frequencies, since pandas is telling you RS doesn't actually occur in that column.$endgroup$
– David Marx
Jan 13 '18 at 17:09
$begingroup$
Right, my suggestion in my answer was if that happens, omit the last index to see what's going on. Running
df['classification'].value_counts() will show tiki each value in that column and their frequencies, since pandas is telling you RS doesn't actually occur in that column.$endgroup$
– David Marx
Jan 13 '18 at 17:09
$begingroup$
'RS' is there in the column. Maybe the problem is with the data type at the time of comparison. Since the same code works with CSV.
$endgroup$
– Scorpionk
Jan 14 '18 at 7:12
$begingroup$
'RS' is there in the column. Maybe the problem is with the data type at the time of comparison. Since the same code works with CSV.
$endgroup$
– Scorpionk
Jan 14 '18 at 7:12
$begingroup$
It appears in the output of
.value_counts()? Maybe there's whitespace in the field value, e.g. rather than 'RS' it's actually 'RS '$endgroup$
– David Marx
Jan 14 '18 at 7:20
$begingroup$
It appears in the output of
.value_counts()? Maybe there's whitespace in the field value, e.g. rather than 'RS' it's actually 'RS '$endgroup$
– David Marx
Jan 14 '18 at 7:20
$begingroup$
Actually, I'm on busy schedule right now. Will let you know before tonight about .value_counts() result.
$endgroup$
– Scorpionk
Jan 16 '18 at 12:39
$begingroup$
Actually, I'm on busy schedule right now. Will let you know before tonight about .value_counts() result.
$endgroup$
– Scorpionk
Jan 16 '18 at 12:39
add a comment |
Thanks for contributing an answer to Data Science Stack Exchange!
- 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.
Use MathJax to format equations. MathJax reference.
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%2fdatascience.stackexchange.com%2fquestions%2f26587%2fcomparing-dataframe-object-with-string-value-in-django%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
