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Q&A How to plot a table from a pandas dataframe

How do I generate a table in its own figure from a pandas dataframe? I can generate a bar plot with a table below it, like so: import pandas as pd import numpy as np import matplotlib.pyplot as...

1 answer · posted 4y ago by mcp‭ · edited 25d ago by Karl Knechtel‭

Question python plot pandas matplotlib

#8: Post edited by

Karl Knechtel‭ · 2026-08-24T00:46:21Z (25 days ago)
Minor copyediting for better flow

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How do I generate a table in its own figure from a pandas dataframe?
I can generate a bar plot with a table below it, but I don't want the plot, I just want the table. I would hope for something like `df.plot.table()`.
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True) # don't want plot, just want table
~~# df.plot.table() # what I would hope for~~
plt.show()
```
![Busy Bar with Table](https://software.codidact.com/uploads/QnnMdP6oCqMrPzGcrYmm6Kac)
~~## Notes~~
~~Notice the table appended to the graph above is hardly legible and gets~~
~~cut off. I am not looking to fix legibility as is though, I need a~~
~~separate figure for use in a paper.~~
I do not want to have to mess with generating matplotlib axes objects
~~like for~~
~~[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html)~~
~~or in [this example](https://www.statology.org/matplotlib-table/).~~
~~I want to be able to create the table just using and providing the df,~~
~~as opposed to manually formatting the data into a latex table.~~

How do I generate a table in its own figure from a pandas dataframe?
I can generate a bar plot with a table below it, like so:
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True)
plt.show()
```
Which produces:
![Busy Bar with Table](https://software.codidact.com/uploads/QnnMdP6oCqMrPzGcrYmm6Kac)
However, **I don't want the plot, just the table**. (The table appended to the graph above is barely legible and gets
cut off. I am not looking to fix legibility as is though; I need a separate figure for use in a paper.)
I would hope for something like `df.plot.table()`. I would rather not mess with generating matplotlib axes objects
like for [pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html) or as seen in [this example](https://www.statology.org/matplotlib-table/).
I want to be able to create the table just using and providing the dataframe, as opposed to manually formatting the data into a LaTeX table.

#7: Post edited by

wjandrea‭ · 2026-08-24T00:41:19Z (25 days ago)
Move explanation to the top. Elaborate. Remove unnecessary headers. Minor code style improvements. H1 should be reserved for question title.

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~~How to plot table from pandas dataframe~~

How to plot a table from a pandas dataframe

~~# MWE~~
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
~~df.plot.bar(table=True) # don't want plot, just want table~~
~~# df.plot.table() # what I would hope~~
plt.show()
```
![Busy Bar with Table](https://software.codidact.com/uploads/QnnMdP6oCqMrPzGcrYmm6Kac)
# Question
~~How do I generate a table in its own figure from a pandas dataframe?~~
~~# Notes~~
Notice the table appended to the graph above is hardly legible and gets
cut off. I am not looking to fix legibility as is though, I need a
separate figure for use in a paper.
I do not want to have to mess with generating matplotlib axes objects
like for
[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html)
or in [this example](https://www.statology.org/matplotlib-table/).
I want to be able to create the table just using and providing the df,
as opposed to manually formatting the data into a latex table.

How do I generate a table in its own figure from a pandas dataframe?
I can generate a bar plot with a table below it, but I don't want the plot, I just want the table. I would hope for something like `df.plot.table()`.
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True) # don't want plot, just want table
# df.plot.table() # what I would hope for
plt.show()
```
![Busy Bar with Table](https://software.codidact.com/uploads/QnnMdP6oCqMrPzGcrYmm6Kac)
## Notes
Notice the table appended to the graph above is hardly legible and gets
cut off. I am not looking to fix legibility as is though, I need a
separate figure for use in a paper.
I do not want to have to mess with generating matplotlib axes objects
like for
[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html)
or in [this example](https://www.statology.org/matplotlib-table/).
I want to be able to create the table just using and providing the df,
as opposed to manually formatting the data into a latex table.

python plot pandas matplotlib

#6: Post edited by

Alexei‭ · 2025-05-22T06:33:19Z (over 1 year ago)
removed ambiguous tag

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python tools plot pandas matplotlib

python plot pandas matplotlib

#5: Nominated for promotion by

Alexei‭ · 2022-08-07T05:35:06Z (about 4 years ago)

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#4: Post edited by

mcp‭ · 2022-07-22T19:30:15Z (about 4 years ago)
Add notes header

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# MWE
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True) # don't want plot, just want table
# df.plot.table() # what I would hope
plt.show()
```
![Busy Bar with Table](https://software.codidact.com/uploads/QnnMdP6oCqMrPzGcrYmm6Kac)
# Question
How do I generate a table in its own figure from a pandas dataframe?
Notice the table appended to the graph above is hardly legible and gets
cut off. I am not looking to fix legibility as is though, I need a
separate figure for use in a paper.
I do not want to have to mess with generating matplotlib axes objects
like for
[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html)
or in [this example](https://www.statology.org/matplotlib-table/).
I want to be able to create the table just using and providing the df,
as opposed to manually formatting the data into a latex table.

# MWE
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True) # don't want plot, just want table
# df.plot.table() # what I would hope
plt.show()
```
![Busy Bar with Table](https://software.codidact.com/uploads/QnnMdP6oCqMrPzGcrYmm6Kac)
# Question
How do I generate a table in its own figure from a pandas dataframe?
# Notes
Notice the table appended to the graph above is hardly legible and gets
cut off. I am not looking to fix legibility as is though, I need a
separate figure for use in a paper.
I do not want to have to mess with generating matplotlib axes objects
like for
[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html)
or in [this example](https://www.statology.org/matplotlib-table/).
I want to be able to create the table just using and providing the df,
as opposed to manually formatting the data into a latex table.

#3: Post edited by

mcp‭ · 2022-07-22T19:18:28Z (about 4 years ago)
Add note about legibility

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# MWE
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True) # don't want plot, just want table
# df.plot.table() # what I would hope
plt.show()
```
![Busy Bar with Table](https://software.codidact.com/uploads/QnnMdP6oCqMrPzGcrYmm6Kac)
# Question
How do I generate a table in its own figure from a pandas dataframe?
I do not want to have to mess with generating matplotlib axes objects
like for
~~[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html).~~
I want to be able to create the table just using and providing the df,
~~as opposed to manually formatting the data into a latex table.[]()~~

# MWE
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True) # don't want plot, just want table
# df.plot.table() # what I would hope
plt.show()
```
![Busy Bar with Table](https://software.codidact.com/uploads/QnnMdP6oCqMrPzGcrYmm6Kac)
# Question
How do I generate a table in its own figure from a pandas dataframe?
Notice the table appended to the graph above is hardly legible and gets
cut off. I am not looking to fix legibility as is though, I need a
separate figure for use in a paper.
I do not want to have to mess with generating matplotlib axes objects
like for
[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html)
or in [this example](https://www.statology.org/matplotlib-table/).
I want to be able to create the table just using and providing the df,
as opposed to manually formatting the data into a latex table.

#2: Post edited by

mcp‭ · 2022-07-22T19:14:36Z (about 4 years ago)
Add output image

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# MWE
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True) # don't want plot, just want table
# df.plot.table() # what I would hope
plt.show()
```
# Question
How do I generate a table in its own figure from a pandas dataframe?
I do not want to have to mess with generating matplotlib axes objects
like for
[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html).
I want to be able to create the table just using and providing the df,
as opposed to manually formatting the data into a latex table.[]()

# MWE
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True) # don't want plot, just want table
# df.plot.table() # what I would hope
plt.show()
```
![Busy Bar with Table](https://software.codidact.com/uploads/QnnMdP6oCqMrPzGcrYmm6Kac)
# Question
How do I generate a table in its own figure from a pandas dataframe?
I do not want to have to mess with generating matplotlib axes objects
like for
[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html).
I want to be able to create the table just using and providing the df,
as opposed to manually formatting the data into a latex table.[]()

#1: Initial revision by

mcp‭ · 2022-07-22T19:12:18Z (about 4 years ago)

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How to plot table from pandas dataframe

# MWE
```py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt


df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd'])
df.plot.bar(table=True) # don't want plot, just want table
# df.plot.table() # what I would hope
plt.show()
```

# Question
How do I generate a table in its own figure from a pandas dataframe? 

I do not want to have to mess with generating matplotlib axes objects
like for
[pandas.plotting.table()](https://pandas.pydata.org/docs/reference/api/pandas.plotting.table.html).

I want to be able to create the table just using and providing the df,
as opposed to manually formatting the data into a latex table.[]()

python plot pandas matplotlib data-presentation

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