I want to save a barplot, but found it was clipped when save it to a file.
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
sns.set_theme(font_scale=1.6)
fig,ax = plt.subplots(figsize=(8,6))
g = sns.barplot(x="tip", y="day", data=tips)
g.set(yticklabels=['Thur','Fri','Sat','Very long long long long Sun'])
fig.savefig('1.png',dpi=400)
Here is the figure shown in jupyter notebook
However, the figure saved was looked like this:
You should add bbox_index='tight' as a parameter and argument to plt.savefig()
fig.savefig('1.png',dpi=400, bbox_inches='tight')
Related
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
fig,ax=plt.subplots(2,2,figsize=(15,10))
x=np.linspace(-3,3)
ax[0,0].plot(x,foo-function)
now I need a way to save each of the 4 plots into one file like this:
plt1=topleft_plot.saveNOTfigBUTplot('quadfunction.pdf')
how?
Using the answer here: https://stackoverflow.com/a/4328608/16299117
We can do the following to save a SINGLE subplot from the overall figure:
import matplotlib.pyplot as plt
import numpy as np
fig,ax=plt.subplots(2,2,figsize=(15,10))
x=np.linspace(-3,3)
ax[0,0].plot(x,x**2) # This is just to make an actual plot.
# I am not using jupyter notebook, so I use this to show it instead of %inline
plt.show()
# Getting only the axes specified by ax[0,0]
extent = ax[0,0].get_window_extent().transformed(fig.dpi_scale_trans.inverted())
# Saving it to a pdf file.
fig.savefig('ax2_figure.pdf', bbox_inches=extent.expanded(1.1, 1.2))
EDIT: I believe I may have misunderstood what you want. If you want to save EACH plot individually, say as 4 different pages in a pdf, you can do the following adapted from this answer: https://stackoverflow.com/a/29435953/16299117
This will save each subplot from the figure as a different page in a single pdf.
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
fig,ax=plt.subplots(2,2,figsize=(15,10))
x=np.linspace(-3,3)
ax[0,0].plot(x,x**2) # This is just to make an actual plot.
with PdfPages('foo.pdf') as pdf:
for x in range(ax.shape[0]):
for y in range(ax.shape[1]):
extent = ax[x, y].get_window_extent().transformed(fig.dpi_scale_trans.inverted())
pdf.savefig(bbox_inches=extent.expanded(1.1, 1.2))
I have a problem with the use of tight_layout combined with jointplot. I have a dataframe df with my datas in two columns.
I create a jointplot with the command:
import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
sns.jointplot(df["time (ns)"],df["intesity (counts/s)"], kind='kde', shade=True, cmap="RdBu_r", n_levels=1000, space=0)
The problem is that the axis labels are partially outside of the figure: I solved using
plt.tight_layout()
Anyway this have the side effect to "erase" the space=0 option, resulting in a graph different from what I would like to obtain. Does someone knows how I can solve this problem?
try adding
plt.subplots_adjust(hspace=0, wspace=0)
after tight_layout()
I am trying to plot the "Tips" dataset from the Seaborn library, but when doing so I am only getting the dark background of the chart. The actual scatter plot and histogram along the edges are not showing.
I am running the code inside Spyder from the Anaconda distribution.
Where am I going wrong?
import seaborn as sns
import matplotlib as plt
sns.set(style="darkgrid", color_codes=True)
#Import data
tips = sns.load_dataset('tips')
tips.head()
sns.jointplot(x='total_bill', y='tip', data='tips')
plt.show()
here data="tips" is not a string
so you need to change the following line:
sns.jointplot(x='total_bill', y='tip', data=tips)
I am new to matplotlib and seaborn and is currently trying to practice the two libraries using the classic titanic dataset. This might be elementary, but I'm trying to plot two factorplots side by side by inputting the argument ax = matplotlib axis as shown in the code below:
import matploblib.pyplot as plt
import seaborn as sns
%matplotlib inline
fig, (axis1,axis2) = plt.subplots(1,2,figsize=(15,4))
sns.factorplot(x='Pclass',data=titanic_df,kind='count',hue='Survived',ax=axis1)
sns.factorplot(x='SibSp',data=titanic_df,kind='count',hue='Survived',ax=axis2)
I was expecting the two factorplots side by side, but instead of just that, I ended up with two extra blank subplots as shown above
Edited: image was not there
Any call to sns.factorplot() actually creates a new figure, although the contents are drawn to the existing axes (axes1, axes2). Those figures are shown together with the original fig.
I guess the easiest way to prevent those unused figures from showing up is to close them, using plt.close(<figure number>).
Here is a solution for a notebook
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
%matplotlib inline
titanic_df = pd.read_csv(r"https://github.com/pcsanwald/kaggle-titanic/raw/master/train.csv")
fig, (axis1,axis2) = plt.subplots(1,2,figsize=(15,4))
sns.factorplot(x='pclass',data=titanic_df,kind='count',hue='survived',ax=axis1)
sns.factorplot(x='sibsp',data=titanic_df,kind='count',hue='survived',ax=axis2)
plt.close(2)
plt.close(3)
(For normal console plotting, remove the %matplotlib inline command and add plt.show() at the end.)
I am trying to generate the log-log plot of a vector, and save the generated plot to file.
This is what I have tried so far:
import matplotlib.pyplot as plt
...
plt.loglog(deg_distribution,'b-',marker='o')
plt.savefig('LogLog.png')
I am using Jupyter Notebook, in which I get the generated graph as output after statement 2 in the above code, but the saved file is blank.
Notice that pyplot has the concept of the current figure and the current axes. All plotting commands apply to the current axes. So, make sure you plot in the right axes. Here is a WME.
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.loglog(range(100), 'b-',marker='o')
plt.savefig('test.png') # apply to the axes `ax`