Matplotlib - Percent stacked barplot error=“TypeError: only size-1 arrays can be converted to Python...
0
$begingroup$
i want to create percent stacked barplot using values that i select with pandas.
my problem is that i can't figure out why x3 i y3 values are creating error -> "TypeError: only size-1 arrays can be converted to Python scalars"values y1,y2 and x1,x2 works well and are shown in graph, but when i give y3 and x3 values i get error!?!
-look pics
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
r = [0,1,2]
raw_data = {'greenBars': [y1,y2,y3], 'orangeBars': [x1,x2,x3]}
df = pd.DataFrame(raw_data)
totals = [i+j for i,j in zip(df['greenBars'], df['orangeBars'])]
greenBars = [i / j * 100 for i,j in zip(df['greenBars'], totals)]
orangeBars = [i / j * 100 for i,j in zip(df['orangeBars'], totals)]
barWidth = 0.8
names = ('A','B','C')
plt.bar(r, greenBars, color='y', edgecolor='white', width=barWidth)
plt.bar(r, orangeBars, bottom=greenBars, color='c', edgecolor='white',
width=barWidth)
plt.xticks(r, names)
plt.xlabel("group")
plt.show()
pandas matplotlib
asked yesterday
FilipFilip
83
New contributor
Filip is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
|
show 7 more comments
0
$begingroup$
i want to create percent stacked barplot using values that i select with pandas.
my problem is that i can't figure out why x3 i y3 values are creating error -> "TypeError: only size-1 arrays can be converted to Python scalars"values y1,y2 and x1,x2 works well and are shown in graph, but when i give y3 and x3 values i get error!?!
-look pics
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
r = [0,1,2]
raw_data = {'greenBars': [y1,y2,y3], 'orangeBars': [x1,x2,x3]}
df = pd.DataFrame(raw_data)
totals = [i+j for i,j in zip(df['greenBars'], df['orangeBars'])]
greenBars = [i / j * 100 for i,j in zip(df['greenBars'], totals)]
orangeBars = [i / j * 100 for i,j in zip(df['orangeBars'], totals)]
barWidth = 0.8
names = ('A','B','C')
plt.bar(r, greenBars, color='y', edgecolor='white', width=barWidth)
plt.bar(r, orangeBars, bottom=greenBars, color='c', edgecolor='white',
width=barWidth)
plt.xticks(r, names)
plt.xlabel("group")
plt.show()
pandas matplotlib
asked yesterday
FilipFilip
83
New contributor
Filip is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
Can you post your code as text please?
$endgroup$
– JahKnows
yesterday
$begingroup$
y and x values are in pics, but when i set normal number in "raw_data" like 33,44 ect it works normal, also y1,y2 and x1,x2 works good but problem is with y3 and x3 that cannot be recognized or something...
$endgroup$
– Filip
yesterday
$begingroup$
Can you post your data please?
$endgroup$
– JahKnows
yesterday
$begingroup$
datas are import from sql server with pyodbc and than open with pandas... i don't know how to post that here...
$endgroup$
– Filip
yesterday
$begingroup$
Can you print df.head() so I can see some example data?
$endgroup$
– JahKnows
yesterday
|
show 7 more comments
0
0
0
$begingroup$
i want to create percent stacked barplot using values that i select with pandas.
my problem is that i can't figure out why x3 i y3 values are creating error -> "TypeError: only size-1 arrays can be converted to Python scalars"values y1,y2 and x1,x2 works well and are shown in graph, but when i give y3 and x3 values i get error!?!
-look pics
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
r = [0,1,2]
raw_data = {'greenBars': [y1,y2,y3], 'orangeBars': [x1,x2,x3]}
df = pd.DataFrame(raw_data)
totals = [i+j for i,j in zip(df['greenBars'], df['orangeBars'])]
greenBars = [i / j * 100 for i,j in zip(df['greenBars'], totals)]
orangeBars = [i / j * 100 for i,j in zip(df['orangeBars'], totals)]
barWidth = 0.8
names = ('A','B','C')
plt.bar(r, greenBars, color='y', edgecolor='white', width=barWidth)
plt.bar(r, orangeBars, bottom=greenBars, color='c', edgecolor='white',
width=barWidth)
plt.xticks(r, names)
plt.xlabel("group")
plt.show()
pandas matplotlib
asked yesterday
FilipFilip
83
New contributor
Filip is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
i want to create percent stacked barplot using values that i select with pandas.
my problem is that i can't figure out why x3 i y3 values are creating error -> "TypeError: only size-1 arrays can be converted to Python scalars"values y1,y2 and x1,x2 works well and are shown in graph, but when i give y3 and x3 values i get error!?!
-look pics
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
r = [0,1,2]
raw_data = {'greenBars': [y1,y2,y3], 'orangeBars': [x1,x2,x3]}
df = pd.DataFrame(raw_data)
totals = [i+j for i,j in zip(df['greenBars'], df['orangeBars'])]
greenBars = [i / j * 100 for i,j in zip(df['greenBars'], totals)]
orangeBars = [i / j * 100 for i,j in zip(df['orangeBars'], totals)]
barWidth = 0.8
names = ('A','B','C')
plt.bar(r, greenBars, color='y', edgecolor='white', width=barWidth)
plt.bar(r, orangeBars, bottom=greenBars, color='c', edgecolor='white',
width=barWidth)
plt.xticks(r, names)
plt.xlabel("group")
plt.show()
pandas matplotlib
pandas matplotlib
asked yesterday
FilipFilip
83
New contributor
Filip is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
FilipFilip
83
New contributor
Filip is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
Filip
asked yesterday
FilipFilip
83
New contributor
Filip is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
FilipFilip
83
asked yesterday
FilipFilip
83
83
New contributor
Filip is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Filip is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Filip is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
Can you post your code as text please?
$endgroup$
– JahKnows
yesterday
$begingroup$
y and x values are in pics, but when i set normal number in "raw_data" like 33,44 ect it works normal, also y1,y2 and x1,x2 works good but problem is with y3 and x3 that cannot be recognized or something...
$endgroup$
– Filip
yesterday
$begingroup$
Can you post your data please?
$endgroup$
– JahKnows
yesterday
$begingroup$
datas are import from sql server with pyodbc and than open with pandas... i don't know how to post that here...
$endgroup$
– Filip
yesterday
$begingroup$
Can you print df.head() so I can see some example data?
$endgroup$
– JahKnows
yesterday
|
show 7 more comments
$begingroup$
Can you post your code as text please?
$endgroup$
– JahKnows
yesterday
$begingroup$
y and x values are in pics, but when i set normal number in "raw_data" like 33,44 ect it works normal, also y1,y2 and x1,x2 works good but problem is with y3 and x3 that cannot be recognized or something...
$endgroup$
– Filip
yesterday
$begingroup$
Can you post your data please?
$endgroup$
– JahKnows
yesterday
$begingroup$
datas are import from sql server with pyodbc and than open with pandas... i don't know how to post that here...
$endgroup$
– Filip
yesterday
$begingroup$
Can you print df.head() so I can see some example data?
$endgroup$
– JahKnows
yesterday
$begingroup$
Can you post your code as text please?
$endgroup$
– JahKnows
yesterday
$begingroup$
Can you post your code as text please?
$endgroup$
– JahKnows
yesterday
$begingroup$
y and x values are in pics, but when i set normal number in "raw_data" like 33,44 ect it works normal, also y1,y2 and x1,x2 works good but problem is with y3 and x3 that cannot be recognized or something...
$endgroup$
– Filip
yesterday
$begingroup$
y and x values are in pics, but when i set normal number in "raw_data" like 33,44 ect it works normal, also y1,y2 and x1,x2 works good but problem is with y3 and x3 that cannot be recognized or something...
$endgroup$
– Filip
yesterday
$begingroup$
Can you post your data please?
$endgroup$
– JahKnows
yesterday
$begingroup$
Can you post your data please?
$endgroup$
– JahKnows
yesterday
$begingroup$
datas are import from sql server with pyodbc and than open with pandas... i don't know how to post that here...
$endgroup$
– Filip
yesterday
$begingroup$
datas are import from sql server with pyodbc and than open with pandas... i don't know how to post that here...
$endgroup$
– Filip
yesterday
$begingroup$
Can you print df.head() so I can see some example data?
$endgroup$
– JahKnows
yesterday
$begingroup$
Can you print df.head() so I can see some example data?
$endgroup$
– JahKnows
yesterday
|
show 7 more comments
0
active
oldest
votes
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
});
}
});
Filip is a new contributor. Be nice, and check out our Code of Conduct.
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%2fdatascience.stackexchange.com%2fquestions%2f46148%2fmatplotlib-percent-stacked-barplot-error-typeerror-only-size-1-arrays-can-be%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
Filip is a new contributor. Be nice, and check out our Code of Conduct.
draft saved
draft discarded
Filip is a new contributor. Be nice, and check out our Code of Conduct.
Filip is a new contributor. Be nice, and check out our Code of Conduct.
Filip is a new contributor. Be nice, and check out our Code of Conduct.
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.
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%2fdatascience.stackexchange.com%2fquestions%2f46148%2fmatplotlib-percent-stacked-barplot-error-typeerror-only-size-1-arrays-can-be%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
$begingroup$
Can you post your code as text please?
$endgroup$
– JahKnows
yesterday
$begingroup$
y and x values are in pics, but when i set normal number in "raw_data" like 33,44 ect it works normal, also y1,y2 and x1,x2 works good but problem is with y3 and x3 that cannot be recognized or something...
$endgroup$
– Filip
yesterday
$begingroup$
Can you post your data please?
$endgroup$
– JahKnows
yesterday
$begingroup$
datas are import from sql server with pyodbc and than open with pandas... i don't know how to post that here...
$endgroup$
– Filip
yesterday
$begingroup$
Can you print df.head() so I can see some example data?
$endgroup$
– JahKnows
yesterday