How can I draw a bar graph from three different data frames using matplotlib?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}
I want to draw a triple bar graph with three different dataframes using matplotLib
DF1
index | Number
A | 110
B | 22
D | 52
DF2
index | Number
A | 100
B | 22
C | 52
DF3
index | Number
A | 90
B | 12
C | 10
I am trying to use this piece of code but this is giving error as for this data needs to be from same dataframe
ax=DF1[["Number"]].DF2[["Number"]].DF3[["Number"]].plot(kind ='bar',log=True,title = "BarGraph",figsize=(15,10),legend=True,fontsize=10)
ax.set_xlabel("Index",fontsize=12)
ax.set_ylabel("Number",fontsize=12)
plt.show()
python visualization matplotlib
asked yesterday
table_101table_101
263
migrated from datascience.stackexchange.com 17 hours ago
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
add a comment |
I want to draw a triple bar graph with three different dataframes using matplotLib
DF1
index | Number
A | 110
B | 22
D | 52
DF2
index | Number
A | 100
B | 22
C | 52
DF3
index | Number
A | 90
B | 12
C | 10
I am trying to use this piece of code but this is giving error as for this data needs to be from same dataframe
ax=DF1[["Number"]].DF2[["Number"]].DF3[["Number"]].plot(kind ='bar',log=True,title = "BarGraph",figsize=(15,10),legend=True,fontsize=10)
ax.set_xlabel("Index",fontsize=12)
ax.set_ylabel("Number",fontsize=12)
plt.show()
python visualization matplotlib
asked yesterday
table_101table_101
263
migrated from datascience.stackexchange.com 17 hours ago
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
Why don’t you use Seaborn instead?
– pythinker
yesterday
Ok can you just guide me regarding how this thing can be done using seaborn
– table_101
yesterday
add a comment |
I want to draw a triple bar graph with three different dataframes using matplotLib
DF1
index | Number
A | 110
B | 22
D | 52
DF2
index | Number
A | 100
B | 22
C | 52
DF3
index | Number
A | 90
B | 12
C | 10
I am trying to use this piece of code but this is giving error as for this data needs to be from same dataframe
ax=DF1[["Number"]].DF2[["Number"]].DF3[["Number"]].plot(kind ='bar',log=True,title = "BarGraph",figsize=(15,10),legend=True,fontsize=10)
ax.set_xlabel("Index",fontsize=12)
ax.set_ylabel("Number",fontsize=12)
plt.show()
python visualization matplotlib
asked yesterday
table_101table_101
263
I want to draw a triple bar graph with three different dataframes using matplotLib
DF1
index | Number
A | 110
B | 22
D | 52
DF2
index | Number
A | 100
B | 22
C | 52
DF3
index | Number
A | 90
B | 12
C | 10
I am trying to use this piece of code but this is giving error as for this data needs to be from same dataframe
ax=DF1[["Number"]].DF2[["Number"]].DF3[["Number"]].plot(kind ='bar',log=True,title = "BarGraph",figsize=(15,10),legend=True,fontsize=10)
ax.set_xlabel("Index",fontsize=12)
ax.set_ylabel("Number",fontsize=12)
plt.show()
python visualization matplotlib
python visualization matplotlib
asked yesterday
table_101table_101
263
asked yesterday
table_101table_101
263
asked yesterday
table_101table_101
263
asked yesterday
table_101table_101
263
asked yesterday
table_101table_101
263
263
migrated from datascience.stackexchange.com 17 hours ago
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
migrated from datascience.stackexchange.com 17 hours ago
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
Why don’t you use Seaborn instead?
– pythinker
yesterday
Ok can you just guide me regarding how this thing can be done using seaborn
– table_101
yesterday
add a comment |
Why don’t you use Seaborn instead?
– pythinker
yesterday
Ok can you just guide me regarding how this thing can be done using seaborn
– table_101
yesterday
Why don’t you use Seaborn instead?
– pythinker
yesterday
Why don’t you use Seaborn instead?
– pythinker
yesterday
Ok can you just guide me regarding how this thing can be done using seaborn
– table_101
yesterday
Ok can you just guide me regarding how this thing can be done using seaborn
– table_101
yesterday
add a comment |
1 Answer
1
active
oldest
votes
If you are willing to use seaborn, this code chunk works for you:
import pandas as pd
import seaborn as sns
DF1 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [110, 22, 52]})
DF2 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [100, 22, 52]})
DF3 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [90, 12, 10]})
DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']
sns.barplot(data = DF, x='index', y='Number', hue='df_num')
It should produce this plot:
answered yesterday
pythinkerpythinker
1688
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%2f55555131%2fhow-can-i-draw-a-bar-graph-from-three-different-data-frames-using-matplotlib%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
If you are willing to use seaborn, this code chunk works for you:
import pandas as pd
import seaborn as sns
DF1 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [110, 22, 52]})
DF2 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [100, 22, 52]})
DF3 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [90, 12, 10]})
DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']
sns.barplot(data = DF, x='index', y='Number', hue='df_num')
It should produce this plot:
answered yesterday
pythinkerpythinker
1688
add a comment |
If you are willing to use seaborn, this code chunk works for you:
import pandas as pd
import seaborn as sns
DF1 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [110, 22, 52]})
DF2 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [100, 22, 52]})
DF3 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [90, 12, 10]})
DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']
sns.barplot(data = DF, x='index', y='Number', hue='df_num')
It should produce this plot:
answered yesterday
pythinkerpythinker
1688
add a comment |
If you are willing to use seaborn, this code chunk works for you:
import pandas as pd
import seaborn as sns
DF1 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [110, 22, 52]})
DF2 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [100, 22, 52]})
DF3 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [90, 12, 10]})
DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']
sns.barplot(data = DF, x='index', y='Number', hue='df_num')
It should produce this plot:
answered yesterday
pythinkerpythinker
1688
If you are willing to use seaborn, this code chunk works for you:
import pandas as pd
import seaborn as sns
DF1 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [110, 22, 52]})
DF2 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [100, 22, 52]})
DF3 = pd.DataFrame({'index': ['A', 'B', 'C'], 'Number': [90, 12, 10]})
DF = pd.concat([DF1, DF2, DF3])
DF['df_num'] = ['1','1','1','2','2','2','3','3','3']
sns.barplot(data = DF, x='index', y='Number', hue='df_num')
It should produce this plot:
answered yesterday
pythinkerpythinker
1688
answered yesterday
pythinkerpythinker
1688
answered yesterday
pythinkerpythinker
1688
answered yesterday
pythinkerpythinker
1688
1688
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%2f55555131%2fhow-can-i-draw-a-bar-graph-from-three-different-data-frames-using-matplotlib%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
Why don’t you use Seaborn instead?
– pythinker
yesterday
Ok can you just guide me regarding how this thing can be done using seaborn
– table_101
yesterday