How to make inline plots in Jupyter Notebook larger

Question

I have made my plots inline on my Ipython Notebook with   matplotlib inline    Now  the plot appears   However  it is very small   Is there a way to make it appear larger using either notebook settings or plot settings

User · Answer

using something like  import matplotlib pyplot as plt  matplotlib inline plt subplots figsize  18 8    plt subplot 1 3 1  plt subplot 1 3 2  plt subplot 1 3 3   The output of the command

User · Answer

If you only want the image of your figure to appear larger without changing the general appearance of your figure increase the figure resolution  Changing the figure size as suggested in most other answers will change the appearance since font sizes do not scale accordingly   import matplotlib pylab as plt plt rcParams  figure dpi     200

User · Answer

The question is about matplotlib  but for the sake of any R users that end up here given the language-agnostic title   If you re using an R kernel  just use   options repr plot width 4  repr plot height 3

User · Answer

A small but important detail for adjusting figure size on a one-off basis  as several commenters above reported  this doesn t work for me     You should do plt figure figsize      PRIOR to defining your actual plot   For example   This should correctly size the plot according to your specified figsize   values    1 1 1 2 2 3      plt figure figsize  10 6       plt hist values bins 3  plt show     Whereas this will show the plot with the default settings  seeming to  ignore  figsize   values    1 1 1 2 2 3      plt hist values bins 3      plt figure figsize  10 6   plt show

User · Answer

I have found that  matplotlib notebook works better for me than inline with Jupyter notebooks   Note that you may need to restart the kernel if you were using  matplotlib inline before   Update 2019  If you are running Jupyter Lab you might want to use  matplotlib widget

User · Answer

A quick fix to  quot plot overlap quot  is to use plt tight layout    Example  in my case  for i var in enumerate categorical variables       plt title var      plt xticks rotation 45      df var  hist       plt subplot len categorical variables  2  2  i 1   plt tight layout

User · Answer

The default figure size  in inches  is controlled by  matplotlib rcParams  figure figsize      width  height    For example   import matplotlib pyplot as plt plt rcParams  figure figsize      10  5    creates a figure with 10  width  x 5  height  inches

User · Answer

To adjust the size of one figure   import matplotlib pyplot as plt  fig plt figure figsize  15  15     To change the default settings  and therefore all your plots   import matplotlib pyplot as plt  plt rcParams  figure figsize      15  15

User · Answer

Yes  play with figuresize and dpi like so  before you call your subplot   fig plt figure figsize  12 8   dpi  100  facecolor  w   edgecolor  k    As  tacaswell and  Hagne pointed out  you can also change the defaults if it s not a one-off  plt rcParams  figure figsize      12  8  plt rcParams  figure dpi     100   200 e g  is really fine  but slower

[python] How to make inline plots in Jupyter Notebook larger?

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