In seaborn, how to increase the graph and save as image?
In python3 and pandas I have this dataframe:
gastos_anuais.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 5 entries, 0 to 4
Data columns (total 2 columns):
ano 5 non-null int64
valor_pago 5 non-null float64
dtypes: float64(1), int64(1)
memory usage: 280.0 bytes
gastos_anuais.reset_index()
index ano valor_pago
0 0 2014 13,082,008,854.37
1 3 2017 9,412,069,205.73
2 2 2016 7,617,420,559.22
3 1 2015 7,470,391,492.24
4 4 2018 7,099,199,179.11
I did a pointplot chart:
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
sns.pointplot(x='ano', y='valor_pago', data=gastos_anuais)
plt.xticks(rotation=65)
plt.grid(True, linestyle="--")
plt.title("Gastos Destinados pelo Governo Federal (2014-2018)n")
plt.xlabel("Anos")
plt.ylabel("Em bilhões de R$")
plt.show()
It worked. But I would like to:
Increase the size of the chart that appears on the screen
Can save image format, .jpeg file for example
And I do not understand why below the title of the graph appears '1e10'
Please, does anyone know how I can do it?
python pandas seaborn
asked Nov 22 at 20:28
Reinaldo Chaves
319212
add a comment |
In python3 and pandas I have this dataframe:
gastos_anuais.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 5 entries, 0 to 4
Data columns (total 2 columns):
ano 5 non-null int64
valor_pago 5 non-null float64
dtypes: float64(1), int64(1)
memory usage: 280.0 bytes
gastos_anuais.reset_index()
index ano valor_pago
0 0 2014 13,082,008,854.37
1 3 2017 9,412,069,205.73
2 2 2016 7,617,420,559.22
3 1 2015 7,470,391,492.24
4 4 2018 7,099,199,179.11
I did a pointplot chart:
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
sns.pointplot(x='ano', y='valor_pago', data=gastos_anuais)
plt.xticks(rotation=65)
plt.grid(True, linestyle="--")
plt.title("Gastos Destinados pelo Governo Federal (2014-2018)n")
plt.xlabel("Anos")
plt.ylabel("Em bilhões de R$")
plt.show()
It worked. But I would like to:
Increase the size of the chart that appears on the screen
Can save image format, .jpeg file for example
And I do not understand why below the title of the graph appears '1e10'
Please, does anyone know how I can do it?
python pandas seaborn
asked Nov 22 at 20:28
Reinaldo Chaves
319212
Possible duplicate of How do you change the size of figures drawn with matplotlib?
– Diziet Asahi
Nov 22 at 20:46
add a comment |
In python3 and pandas I have this dataframe:
gastos_anuais.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 5 entries, 0 to 4
Data columns (total 2 columns):
ano 5 non-null int64
valor_pago 5 non-null float64
dtypes: float64(1), int64(1)
memory usage: 280.0 bytes
gastos_anuais.reset_index()
index ano valor_pago
0 0 2014 13,082,008,854.37
1 3 2017 9,412,069,205.73
2 2 2016 7,617,420,559.22
3 1 2015 7,470,391,492.24
4 4 2018 7,099,199,179.11
I did a pointplot chart:
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
sns.pointplot(x='ano', y='valor_pago', data=gastos_anuais)
plt.xticks(rotation=65)
plt.grid(True, linestyle="--")
plt.title("Gastos Destinados pelo Governo Federal (2014-2018)n")
plt.xlabel("Anos")
plt.ylabel("Em bilhões de R$")
plt.show()
It worked. But I would like to:
Increase the size of the chart that appears on the screen
Can save image format, .jpeg file for example
And I do not understand why below the title of the graph appears '1e10'
Please, does anyone know how I can do it?
python pandas seaborn
asked Nov 22 at 20:28
Reinaldo Chaves
319212
In python3 and pandas I have this dataframe:
gastos_anuais.info()
<class 'pandas.core.frame.DataFrame'>
Int64Index: 5 entries, 0 to 4
Data columns (total 2 columns):
ano 5 non-null int64
valor_pago 5 non-null float64
dtypes: float64(1), int64(1)
memory usage: 280.0 bytes
gastos_anuais.reset_index()
index ano valor_pago
0 0 2014 13,082,008,854.37
1 3 2017 9,412,069,205.73
2 2 2016 7,617,420,559.22
3 1 2015 7,470,391,492.24
4 4 2018 7,099,199,179.11
I did a pointplot chart:
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
sns.pointplot(x='ano', y='valor_pago', data=gastos_anuais)
plt.xticks(rotation=65)
plt.grid(True, linestyle="--")
plt.title("Gastos Destinados pelo Governo Federal (2014-2018)n")
plt.xlabel("Anos")
plt.ylabel("Em bilhões de R$")
plt.show()
It worked. But I would like to:
Increase the size of the chart that appears on the screen
Can save image format, .jpeg file for example
And I do not understand why below the title of the graph appears '1e10'
Please, does anyone know how I can do it?
python pandas seaborn
python pandas seaborn
asked Nov 22 at 20:28
Reinaldo Chaves
319212
asked Nov 22 at 20:28
Reinaldo Chaves
319212
asked Nov 22 at 20:28
Reinaldo Chaves
319212
asked Nov 22 at 20:28
Reinaldo Chaves
319212
asked Nov 22 at 20:28
Reinaldo Chaves
319212
319212
Possible duplicate of How do you change the size of figures drawn with matplotlib?
– Diziet Asahi
Nov 22 at 20:46
add a comment |
Possible duplicate of How do you change the size of figures drawn with matplotlib?
– Diziet Asahi
Nov 22 at 20:46
Possible duplicate of How do you change the size of figures drawn with matplotlib?
– Diziet Asahi
Nov 22 at 20:46
Possible duplicate of How do you change the size of figures drawn with matplotlib?
– Diziet Asahi
Nov 22 at 20:46
add a comment |
1 Answer
1
active
oldest
votes
Increase the size of the chart that appears on the screen
Add sns.set(rc={'figure.figsize':(w, h)}) before plotting. For example:
sns.set(rc={'figure.figsize':(20, 5)})
Save as jpg
Keep a reference to the plot, get the figure and save it:
p = sns.pointplot(x='ano', y='valor_pago', data=gastos_anuais)
plt.xticks(rotation=65)
#...
# All your editions with `plt`
#...
fig = p.get_figure()
fig.savefig("gastos_anuais.jpg")
What is the 1e10 in the corner?
It is the scale. This means that the values shown in the y axis should be multiplied by 10^10 to recover the actual values of the data.
If you want to remove it, you can use:
plt.ticklabel_format(style='plain', axis='y')
But you will need to do something with the values since they distort the image.
answered Nov 22 at 20:46
Julian Peller
849511
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
Increase the size of the chart that appears on the screen
Add sns.set(rc={'figure.figsize':(w, h)}) before plotting. For example:
sns.set(rc={'figure.figsize':(20, 5)})
Save as jpg
Keep a reference to the plot, get the figure and save it:
p = sns.pointplot(x='ano', y='valor_pago', data=gastos_anuais)
plt.xticks(rotation=65)
#...
# All your editions with `plt`
#...
fig = p.get_figure()
fig.savefig("gastos_anuais.jpg")
What is the 1e10 in the corner?
It is the scale. This means that the values shown in the y axis should be multiplied by 10^10 to recover the actual values of the data.
If you want to remove it, you can use:
plt.ticklabel_format(style='plain', axis='y')
But you will need to do something with the values since they distort the image.
answered Nov 22 at 20:46
Julian Peller
849511
add a comment |
Increase the size of the chart that appears on the screen
Add sns.set(rc={'figure.figsize':(w, h)}) before plotting. For example:
sns.set(rc={'figure.figsize':(20, 5)})
Save as jpg
Keep a reference to the plot, get the figure and save it:
p = sns.pointplot(x='ano', y='valor_pago', data=gastos_anuais)
plt.xticks(rotation=65)
#...
# All your editions with `plt`
#...
fig = p.get_figure()
fig.savefig("gastos_anuais.jpg")
What is the 1e10 in the corner?
It is the scale. This means that the values shown in the y axis should be multiplied by 10^10 to recover the actual values of the data.
If you want to remove it, you can use:
plt.ticklabel_format(style='plain', axis='y')
But you will need to do something with the values since they distort the image.
answered Nov 22 at 20:46
Julian Peller
849511
add a comment |
Increase the size of the chart that appears on the screen
Add sns.set(rc={'figure.figsize':(w, h)}) before plotting. For example:
sns.set(rc={'figure.figsize':(20, 5)})
Save as jpg
Keep a reference to the plot, get the figure and save it:
p = sns.pointplot(x='ano', y='valor_pago', data=gastos_anuais)
plt.xticks(rotation=65)
#...
# All your editions with `plt`
#...
fig = p.get_figure()
fig.savefig("gastos_anuais.jpg")
What is the 1e10 in the corner?
It is the scale. This means that the values shown in the y axis should be multiplied by 10^10 to recover the actual values of the data.
If you want to remove it, you can use:
plt.ticklabel_format(style='plain', axis='y')
But you will need to do something with the values since they distort the image.
answered Nov 22 at 20:46
Julian Peller
849511
Increase the size of the chart that appears on the screen
Add sns.set(rc={'figure.figsize':(w, h)}) before plotting. For example:
sns.set(rc={'figure.figsize':(20, 5)})
Save as jpg
Keep a reference to the plot, get the figure and save it:
p = sns.pointplot(x='ano', y='valor_pago', data=gastos_anuais)
plt.xticks(rotation=65)
#...
# All your editions with `plt`
#...
fig = p.get_figure()
fig.savefig("gastos_anuais.jpg")
What is the 1e10 in the corner?
It is the scale. This means that the values shown in the y axis should be multiplied by 10^10 to recover the actual values of the data.
If you want to remove it, you can use:
plt.ticklabel_format(style='plain', axis='y')
But you will need to do something with the values since they distort the image.
answered Nov 22 at 20:46
Julian Peller
849511
answered Nov 22 at 20:46
Julian Peller
849511
answered Nov 22 at 20:46
Julian Peller
849511
answered Nov 22 at 20:46
Julian Peller
849511
849511
add a comment |
add a comment |
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Possible duplicate of How do you change the size of figures drawn with matplotlib?
– Diziet Asahi
Nov 22 at 20:46