How to make several plots on a single page using matplotlib

Question

I have written code that opens 16 figures at once   Currently they all open as separate graphs   I d like them to open all on the same page   Not the same graph  I want 16 separate graphs on a single page window   Also for some reason the format of the numbins and defaultreallimits doesn t hold past figure 1   Do I need to use the subplot command   I don t understand why I would have to but can t figure out what else I would do     import csv import scipy stats import numpy import matplotlib pyplot as plt  for i in range 16       plt figure i      filename  easygui fileopenbox msg  Pdf distance 90m contour   title  select file   filetypes     csv    default  X   herring schools         alt file open filename          a        for row in csv DictReader alt file           a append row  Dist 90m nmi         y  numpy array a  float          relpdf scipy stats relfreq y  numbins 7  defaultreallimits  -10 60       bins   numpy arange -10 60 10      print numpy sum relpdf 0       print bins     patches plt bar bins relpdf 0   width 10  facecolor  black       titlename  easygui enterbox msg  write graph title   title     default     strip True  image None  root None      plt title titlename      plt ylabel  Probability Density Function       plt xlabel  Distance from 90m Contour Line nm        plt ylim  0 1    plt show

User · Answer

This works also   for i in range 19       plt subplot 5 4 i 1     It plots 19 total graphs on one page  The format is 5 down and 4 across

User · Answer

To answer your main question  you want to use the subplot command   I think changing plt figure i  to plt subplot 4 4 i 1  should work

User · Answer

The answer from las3rjock  which somehow is the answer accepted by the OP  is incorrect--the code doesn t run  nor is it valid matplotlib syntax  that answer provides no runnable code and lacks any information or suggestion that the OP might find useful in writing their own code to solve the problem in the OP   Given that it s the accepted answer and has already received several up-votes  I suppose a little deconstruction is in order    First  calling subplot does not give you multiple plots  subplot is called to create a single plot  as well as to create multiple plots  In addition   changing plt figure i   is not correct   plt figure    in which plt or PLT is usually matplotlib s pyplot library imported and rebound as a global variable  plt or sometimes PLT  like so   from matplotlib import pyplot as PLT  fig   PLT figure     the line just above creates a matplotlib figure instance  this object s add subplot method is then called for every plotting window  informally think of an x  amp  y axis comprising a single subplot   You create  whether just one or for several on a page   like so  fig add subplot 111    this syntax is equivalent to  fig add subplot 1 1 1    choose the one that makes sense to you   Below I ve listed the code to plot two plots on a page  one above the other  The formatting is done via the argument passed to add subplot  Notice the argument is  211  for the first plot and  212  for the second    from matplotlib import pyplot as PLT  fig   PLT figure    ax1   fig add subplot 211  ax1 plot   1  2    3  4      4  3    2  3     ax2   fig add subplot 212  ax2 plot   7  2    5  3      1  6    9  5     PLT show     Each of these two arguments is a complete specification for correctly placing the respective plot windows on the page   211  which again  could also be written in 3-tuple form as  2 1 1  means two rows and one column of plot windows  the third digit specifies the ordering of that particular subplot window relative to the other subplot windows--in this case  this is the first plot  which places it on row 1  hence plot number 1  row 1 col 1   The argument passed to the second call to add subplot  differs from the first only by the trailing digit  a 2 instead of a 1  because this plot is the second plot  row 2  col 1    An example with more plots  if instead you wanted four plots on a page  in a 2x2 matrix configuration  you would call the add subplot method four times  passing in these four arguments  221    222    223   and  224   to create four plots on a page at 10  2  8  and 4 o clock  respectively and in this order   Notice that each of the four arguments contains two leadings 2 s--that encodes the 2 x 2 configuration  ie  two rows and two columns   The third  right-most  digit in each of the four arguments encodes the ordering of that particular plot window in the 2 x 2 matrix--ie  row 1 col 1  1    row 1 col 2  2   row 2 col 1  3   row 2 col 2  4

User · Answer

Since this question is from 4 years ago new things have been implemented and among them there is a new function plt subplots which is very convenient   fig  axes   plot subplots nrows 2  ncols 3  sharex True  sharey True    where axes is a numpy ndarray of AxesSubplot objects  making it very convenient to go through the different subplots just using array indices  i j

User · Answer

doug  amp  FS  s answer are very good solutions  I want to share the solution for iteration on pandas dataframe   import pandas as pd df pd DataFrame   1  2    3  4    4  3    2  3    fig   plt figure figsize  14 8   for i in df columns      ax plt subplot 2 1 i 1       df  i   plot ax ax      print i  plt show

[python] How to make several plots on a single page using matplotlib?

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