python - Producing boxplot figures dynamically depending on number of columns in data -

i'm writing python function produce boxplots of data using python's matplotlib. require function dynamically determine number of figures , subplots based on number of columns in data. make figures readable want maximum number of subplots 4 4. if there more 16 want function fill many 4 4 figures necessary partially fill final figure remainder.

for example, data have has 43 columns. therefore want function produce 2 full figure containing 16 subplots each , 1 partially filled figure containing remaining subplots. problem stuck logic of writing such function.

my code:

import matplotlib.pyplot plt  def boxplot_data(self,parameters_file):     data = read_csv(parameters_file)     header = data.keys()     number_of_full_subplots = len(header)/16     remainder = len(header)-(16*number_of_full_subplots)      in range(0,number_of_full_subplots):         plt.figure(i)         j in range(0,16):             plt.subplot(4,4,j)             boxplot(data[header[0:16]]) 

my plan iterate on 'full subplots' first iterate on remainder method produces 2 identical figures.

does have suggestions?

thanks

the figures identical because line

            boxplot(data[header[0:16]]) 

does not change when i , j incremented.

replace

            boxplot(data[header[16*i+j]]) 

import matplotlib.pyplot plt  def boxplot_data(self, parameters_file):     data = read_csv(parameters_file)     header = data.keys()     number_of_full_subplots = len(header)/16      in range(number_of_full_subplots):         plt.figure(i)         j in range(16):             plt.subplot(4, 4, j)             boxplot(data[header[16*i+j]])