matplotlib double bar graph with pandas series
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0
down vote
favorite
I have the following:
indyes = tuple(yesSeries.index)
indno = tuple(nodSeries.index)
width = 3
p1 = plt.bar(indyes, yesSeries, label="Example one", color='SkyBlue')
p2 = plt.bar(indno, nodSeries, label="Example two", color='IndianRed')
plt.legend()
plt.xlabel('bar number')
plt.ylabel('bar height')
plt.title('Epic GraphnAnother Line! Whoa')
plt.show()
It plots my graph as a stacked bar graph:
When I try to add + width to the second bar graph, indno + width so they are not stacked, rather side by side I get the following error: TypeError: can only concatenate tuple (not "int") to tuple.
I have set my Pandas Series into a tuple to extract the date and count information.
How can I get a plot with 2 horizontal bar graphs?
pandas matplotlib tuples bar-chart
asked Nov 9 at 15:35
a1234
1881210
|
show 2 more comments
up vote
0
down vote
favorite
I have the following:
indyes = tuple(yesSeries.index)
indno = tuple(nodSeries.index)
width = 3
p1 = plt.bar(indyes, yesSeries, label="Example one", color='SkyBlue')
p2 = plt.bar(indno, nodSeries, label="Example two", color='IndianRed')
plt.legend()
plt.xlabel('bar number')
plt.ylabel('bar height')
plt.title('Epic GraphnAnother Line! Whoa')
plt.show()
It plots my graph as a stacked bar graph:
When I try to add + width to the second bar graph, indno + width so they are not stacked, rather side by side I get the following error: TypeError: can only concatenate tuple (not "int") to tuple.
I have set my Pandas Series into a tuple to extract the date and count information.
How can I get a plot with 2 horizontal bar graphs?
pandas matplotlib tuples bar-chart
asked Nov 9 at 15:35
a1234
1881210
What's the reason to use atuplehere? Do you want to add 3 days to each item in the index?
– ImportanceOfBeingErnest
Nov 9 at 16:01
@ ImportanceOfBeingErnest I have my dataframe grouped by a timestamp, and my final dataset is a pandas.core.series.Series with a timestamp and counts. I'm using the tuple to access the timestamp and counts in the series for my x and y vales in my plot. The plot seems to be working fine, I prefer 2 bars rather than a stacked bar.
– a1234
Nov 9 at 16:08
Not sure if that answers my question. Anyways, you might also decide to provide a Minimal, Complete, and Verifiable example here, such that people can simply provide an answer without understanding the motivation.
– ImportanceOfBeingErnest
Nov 9 at 16:11
@ ImportanceOfBeingErnest No, I do not want to add 3 days. I want to have 2 horizontal bar graphs, and not stacked bar graphs.
– a1234
Nov 9 at 16:27
Horizontal bar graphs are created via barh.
– ImportanceOfBeingErnest
Nov 9 at 16:29
|
show 2 more comments
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have the following:
indyes = tuple(yesSeries.index)
indno = tuple(nodSeries.index)
width = 3
p1 = plt.bar(indyes, yesSeries, label="Example one", color='SkyBlue')
p2 = plt.bar(indno, nodSeries, label="Example two", color='IndianRed')
plt.legend()
plt.xlabel('bar number')
plt.ylabel('bar height')
plt.title('Epic GraphnAnother Line! Whoa')
plt.show()
It plots my graph as a stacked bar graph:
When I try to add + width to the second bar graph, indno + width so they are not stacked, rather side by side I get the following error: TypeError: can only concatenate tuple (not "int") to tuple.
I have set my Pandas Series into a tuple to extract the date and count information.
How can I get a plot with 2 horizontal bar graphs?
pandas matplotlib tuples bar-chart
asked Nov 9 at 15:35
a1234
1881210
I have the following:
indyes = tuple(yesSeries.index)
indno = tuple(nodSeries.index)
width = 3
p1 = plt.bar(indyes, yesSeries, label="Example one", color='SkyBlue')
p2 = plt.bar(indno, nodSeries, label="Example two", color='IndianRed')
plt.legend()
plt.xlabel('bar number')
plt.ylabel('bar height')
plt.title('Epic GraphnAnother Line! Whoa')
plt.show()
It plots my graph as a stacked bar graph:
When I try to add + width to the second bar graph, indno + width so they are not stacked, rather side by side I get the following error: TypeError: can only concatenate tuple (not "int") to tuple.
I have set my Pandas Series into a tuple to extract the date and count information.
How can I get a plot with 2 horizontal bar graphs?
pandas matplotlib tuples bar-chart
pandas matplotlib tuples bar-chart
asked Nov 9 at 15:35
a1234
1881210
asked Nov 9 at 15:35
a1234
1881210
asked Nov 9 at 15:35
a1234
1881210
asked Nov 9 at 15:35
a1234
1881210
asked Nov 9 at 15:35
a1234
1881210
1881210
What's the reason to use atuplehere? Do you want to add 3 days to each item in the index?
– ImportanceOfBeingErnest
Nov 9 at 16:01
@ ImportanceOfBeingErnest I have my dataframe grouped by a timestamp, and my final dataset is a pandas.core.series.Series with a timestamp and counts. I'm using the tuple to access the timestamp and counts in the series for my x and y vales in my plot. The plot seems to be working fine, I prefer 2 bars rather than a stacked bar.
– a1234
Nov 9 at 16:08
Not sure if that answers my question. Anyways, you might also decide to provide a Minimal, Complete, and Verifiable example here, such that people can simply provide an answer without understanding the motivation.
– ImportanceOfBeingErnest
Nov 9 at 16:11
@ ImportanceOfBeingErnest No, I do not want to add 3 days. I want to have 2 horizontal bar graphs, and not stacked bar graphs.
– a1234
Nov 9 at 16:27
Horizontal bar graphs are created via barh.
– ImportanceOfBeingErnest
Nov 9 at 16:29
|
show 2 more comments
What's the reason to use atuplehere? Do you want to add 3 days to each item in the index?
– ImportanceOfBeingErnest
Nov 9 at 16:01
@ ImportanceOfBeingErnest I have my dataframe grouped by a timestamp, and my final dataset is a pandas.core.series.Series with a timestamp and counts. I'm using the tuple to access the timestamp and counts in the series for my x and y vales in my plot. The plot seems to be working fine, I prefer 2 bars rather than a stacked bar.
– a1234
Nov 9 at 16:08
Not sure if that answers my question. Anyways, you might also decide to provide a Minimal, Complete, and Verifiable example here, such that people can simply provide an answer without understanding the motivation.
– ImportanceOfBeingErnest
Nov 9 at 16:11
@ ImportanceOfBeingErnest No, I do not want to add 3 days. I want to have 2 horizontal bar graphs, and not stacked bar graphs.
– a1234
Nov 9 at 16:27
Horizontal bar graphs are created via barh.
– ImportanceOfBeingErnest
Nov 9 at 16:29
What's the reason to use a
tuple here? Do you want to add 3 days to each item in the index?– ImportanceOfBeingErnest
Nov 9 at 16:01
What's the reason to use a
tuple here? Do you want to add 3 days to each item in the index?– ImportanceOfBeingErnest
Nov 9 at 16:01
@ ImportanceOfBeingErnest I have my dataframe grouped by a timestamp, and my final dataset is a pandas.core.series.Series with a timestamp and counts. I'm using the tuple to access the timestamp and counts in the series for my x and y vales in my plot. The plot seems to be working fine, I prefer 2 bars rather than a stacked bar.
– a1234
Nov 9 at 16:08
@ ImportanceOfBeingErnest I have my dataframe grouped by a timestamp, and my final dataset is a pandas.core.series.Series with a timestamp and counts. I'm using the tuple to access the timestamp and counts in the series for my x and y vales in my plot. The plot seems to be working fine, I prefer 2 bars rather than a stacked bar.
– a1234
Nov 9 at 16:08
Not sure if that answers my question. Anyways, you might also decide to provide a Minimal, Complete, and Verifiable example here, such that people can simply provide an answer without understanding the motivation.
– ImportanceOfBeingErnest
Nov 9 at 16:11
Not sure if that answers my question. Anyways, you might also decide to provide a Minimal, Complete, and Verifiable example here, such that people can simply provide an answer without understanding the motivation.
– ImportanceOfBeingErnest
Nov 9 at 16:11
@ ImportanceOfBeingErnest No, I do not want to add 3 days. I want to have 2 horizontal bar graphs, and not stacked bar graphs.
– a1234
Nov 9 at 16:27
@ ImportanceOfBeingErnest No, I do not want to add 3 days. I want to have 2 horizontal bar graphs, and not stacked bar graphs.
– a1234
Nov 9 at 16:27
Horizontal bar graphs are created via barh.
– ImportanceOfBeingErnest
Nov 9 at 16:29
Horizontal bar graphs are created via barh.
– ImportanceOfBeingErnest
Nov 9 at 16:29
|
show 2 more comments
1 Answer
1
active
oldest
votes
up vote
1
down vote
accepted
I believe that what you are looking for can be done creating a DataFrame from your Series and then using the plot.bar function.
In below code I generate data and create the graph as you may want to.
import matplotlib.pyplot as plt
import pandas as pd
times = pd.date_range('2018-09-01', periods=7, freq='5D')
yesSeries = pd.Series([1800,2000,3000,1000,2000,1500,1700], index=times)
nodSeries = pd.Series([200,500,700,600,300,50,0], index=times)
df = pd.DataFrame({"Example one":yesSeries,"Example two":nodSeries})
ax = df.plot.bar(color=["SkyBlue","IndianRed"], rot=0, title="Epic GraphnAnother Line! Whoa")
ax.set_xlabel("date")
ax.set_ylabel("counts")
ax.xaxis.set_major_formatter(plt.FixedFormatter(times.strftime("%b %d %Y")))
plt.show()
This results in below graph.
If it seems that the dates appear to be cluttered you can insert below line before the plt.show() code:
plt.gcf().autofmt_xdate()
Which would result in below graph.
answered Nov 9 at 16:37
Cedric Zoppolo
1,21011327
1
Bingo! thanks for the help and clarification!
– a1234
Nov 9 at 19:01
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
I believe that what you are looking for can be done creating a DataFrame from your Series and then using the plot.bar function.
In below code I generate data and create the graph as you may want to.
import matplotlib.pyplot as plt
import pandas as pd
times = pd.date_range('2018-09-01', periods=7, freq='5D')
yesSeries = pd.Series([1800,2000,3000,1000,2000,1500,1700], index=times)
nodSeries = pd.Series([200,500,700,600,300,50,0], index=times)
df = pd.DataFrame({"Example one":yesSeries,"Example two":nodSeries})
ax = df.plot.bar(color=["SkyBlue","IndianRed"], rot=0, title="Epic GraphnAnother Line! Whoa")
ax.set_xlabel("date")
ax.set_ylabel("counts")
ax.xaxis.set_major_formatter(plt.FixedFormatter(times.strftime("%b %d %Y")))
plt.show()
This results in below graph.
If it seems that the dates appear to be cluttered you can insert below line before the plt.show() code:
plt.gcf().autofmt_xdate()
Which would result in below graph.
answered Nov 9 at 16:37
Cedric Zoppolo
1,21011327
1
Bingo! thanks for the help and clarification!
– a1234
Nov 9 at 19:01
add a comment |
up vote
1
down vote
accepted
I believe that what you are looking for can be done creating a DataFrame from your Series and then using the plot.bar function.
In below code I generate data and create the graph as you may want to.
import matplotlib.pyplot as plt
import pandas as pd
times = pd.date_range('2018-09-01', periods=7, freq='5D')
yesSeries = pd.Series([1800,2000,3000,1000,2000,1500,1700], index=times)
nodSeries = pd.Series([200,500,700,600,300,50,0], index=times)
df = pd.DataFrame({"Example one":yesSeries,"Example two":nodSeries})
ax = df.plot.bar(color=["SkyBlue","IndianRed"], rot=0, title="Epic GraphnAnother Line! Whoa")
ax.set_xlabel("date")
ax.set_ylabel("counts")
ax.xaxis.set_major_formatter(plt.FixedFormatter(times.strftime("%b %d %Y")))
plt.show()
This results in below graph.
If it seems that the dates appear to be cluttered you can insert below line before the plt.show() code:
plt.gcf().autofmt_xdate()
Which would result in below graph.
answered Nov 9 at 16:37
Cedric Zoppolo
1,21011327
1
Bingo! thanks for the help and clarification!
– a1234
Nov 9 at 19:01
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
I believe that what you are looking for can be done creating a DataFrame from your Series and then using the plot.bar function.
In below code I generate data and create the graph as you may want to.
import matplotlib.pyplot as plt
import pandas as pd
times = pd.date_range('2018-09-01', periods=7, freq='5D')
yesSeries = pd.Series([1800,2000,3000,1000,2000,1500,1700], index=times)
nodSeries = pd.Series([200,500,700,600,300,50,0], index=times)
df = pd.DataFrame({"Example one":yesSeries,"Example two":nodSeries})
ax = df.plot.bar(color=["SkyBlue","IndianRed"], rot=0, title="Epic GraphnAnother Line! Whoa")
ax.set_xlabel("date")
ax.set_ylabel("counts")
ax.xaxis.set_major_formatter(plt.FixedFormatter(times.strftime("%b %d %Y")))
plt.show()
This results in below graph.
If it seems that the dates appear to be cluttered you can insert below line before the plt.show() code:
plt.gcf().autofmt_xdate()
Which would result in below graph.
answered Nov 9 at 16:37
Cedric Zoppolo
1,21011327
I believe that what you are looking for can be done creating a DataFrame from your Series and then using the plot.bar function.
In below code I generate data and create the graph as you may want to.
import matplotlib.pyplot as plt
import pandas as pd
times = pd.date_range('2018-09-01', periods=7, freq='5D')
yesSeries = pd.Series([1800,2000,3000,1000,2000,1500,1700], index=times)
nodSeries = pd.Series([200,500,700,600,300,50,0], index=times)
df = pd.DataFrame({"Example one":yesSeries,"Example two":nodSeries})
ax = df.plot.bar(color=["SkyBlue","IndianRed"], rot=0, title="Epic GraphnAnother Line! Whoa")
ax.set_xlabel("date")
ax.set_ylabel("counts")
ax.xaxis.set_major_formatter(plt.FixedFormatter(times.strftime("%b %d %Y")))
plt.show()
This results in below graph.
If it seems that the dates appear to be cluttered you can insert below line before the plt.show() code:
plt.gcf().autofmt_xdate()
Which would result in below graph.
answered Nov 9 at 16:37
Cedric Zoppolo
1,21011327
edited Nov 9 at 17:21
answered Nov 9 at 16:37
Cedric Zoppolo
1,21011327
answered Nov 9 at 16:37
Cedric Zoppolo
1,21011327
answered Nov 9 at 16:37
Cedric Zoppolo
1,21011327
1,21011327
1
Bingo! thanks for the help and clarification!
– a1234
Nov 9 at 19:01
add a comment |
1
Bingo! thanks for the help and clarification!
– a1234
Nov 9 at 19:01
1
1
Bingo! thanks for the help and clarification!
– a1234
Nov 9 at 19:01
Bingo! thanks for the help and clarification!
– a1234
Nov 9 at 19:01
add a comment |
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What's the reason to use a
tuplehere? Do you want to add 3 days to each item in the index?– ImportanceOfBeingErnest
Nov 9 at 16:01
@ ImportanceOfBeingErnest I have my dataframe grouped by a timestamp, and my final dataset is a pandas.core.series.Series with a timestamp and counts. I'm using the tuple to access the timestamp and counts in the series for my x and y vales in my plot. The plot seems to be working fine, I prefer 2 bars rather than a stacked bar.
– a1234
Nov 9 at 16:08
Not sure if that answers my question. Anyways, you might also decide to provide a Minimal, Complete, and Verifiable example here, such that people can simply provide an answer without understanding the motivation.
– ImportanceOfBeingErnest
Nov 9 at 16:11
@ ImportanceOfBeingErnest No, I do not want to add 3 days. I want to have 2 horizontal bar graphs, and not stacked bar graphs.
– a1234
Nov 9 at 16:27
Horizontal bar graphs are created via barh.
– ImportanceOfBeingErnest
Nov 9 at 16:29