Matplotlib Savefig() Plots Different from Show()

plt.show and plt.savefig give different result

You can use:

plt.show() before

plt.savefig("../res/dense.png",dpi=plt.gcf().dpi)

It's just a matter of convention. When we call plt.savefig the reference of all the variable point till plt.savefig after that any statement it corresponds to new plot.

You can accept the answer. If it helps.

Different plot size for plt.show() and fig.savefig()

Tangential note: you shouldn't from pylab import *, that will clutter your namespace with all sorts of needless things:

>>> len(globals())
6
>>> from pylab import *
>>> len(globals())
988

As you noticed, I don't think that setting any of the rc parameters affects existing plots. You might have to get your hands dirty, although only a bit: there is only a handful of children of your Axes that you need to modify:

import matplotlib as mpl
import matplotlib.pyplot as plt # <-- all you need here

params = {
    'text.usetex': True,
    'font.size': 6,
}
mpl.rcParams.update(params)

fig = plt.figure(figsize=(3,2))
ax = fig.add_subplot(111)

x = [1, 2, 3]
y = [2, 2, 2]

ax.plot(x,y, label='label')

plt.tight_layout()
fig.savefig('plot.pdf')

fig.set_size_inches(10, 8, forward=True)
# v--- change title and axeslabel font sizes manually
for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +
             ax.get_xticklabels() + ax.get_yticklabels()):
    item.set_fontsize(20)
plt.show()

Saved (left) and shown (right) version:

Arguably, it might be more elegant (or a different kind of messy) to just close your saved plots, modify your rcParams, and redraw the versions you want to show.

Plt.show shows full graph but savefig is cropping the image

You may try

plt.savefig('X:/' + newName + '.png', bbox_inches='tight')

Or you may define figure size like

fig = plt.figure(figsize=(9, 11))
...
plt.savefig(filename, bbox_inches = 'tight')

Matplotlib: Different views from plt.savefig() and manual saving

The following gives me very similar appearance in "show" and in "savefig". I rearranged your code just to help me look at it, but I believe there are two differences in mine that may help yours: Defining the figure size to make sure it has room for the legends, and using bbox_inches="tight" in the savefig call.

import matplotlib.pyplot as plt 
plt.style.use('ggplot')

fig, ((ax1,ax2),(ax3,ax4)) = plt.subplots(2,2, figsize=(11,10))

labels1 = ('new', 'closed', 'developing', 'testing', 'tbd')
labels2 = ('Intern', 'Kunde')
labels3 = ('HW', 'SW')
labels4 = ('Closed', 'Open')

sizes1 = [1, 2, 3, 4, 5]
sizes2 = [1,2]
sizes3 = [1,2]
sizes4 = [1,2]

colors1 = ['#F5FC34', '#52FC34', '#FAAB23', '#237DFA', '#C863FA', ]
colors2 = ['#FAF063', '#63BBFA']
colors3 = ['#6A0D7D', '#503C3C']
colors4 = ['#58FB4C', '#F8183A']

explode1 = (0, 0, 0, 0, 0) 
explode2 = (0, 0) 
explode3 = (0, 0) 
explode4 = (0, 0) 

ax1.pie(sizes1, explode=explode1, colors=colors1, autopct='%1.1f%%',shadow=True, startangle=90)
ax2.pie(sizes2, explode=explode2, colors=colors2, autopct='%1.1f%%',shadow=True, startangle=90)
ax3.pie(sizes3, explode=explode3, colors=colors3, autopct='%1.1f%%',shadow=True, startangle=90)
ax4.pie(sizes4, explode=explode4, colors=colors4, autopct='%1.1f%%',shadow=True, startangle=90)

ax1.set_title("Status")
ax2.set_title("Department")
ax3.set_title("Origin")
ax4.set_title("Closed-Status")

ax1.legend(labels1, bbox_to_anchor=(0.05, 0.8))
ax2.legend(labels2, bbox_to_anchor=(1.25, 0.65))
ax3.legend(labels3, bbox_to_anchor=(0, 0.6))
ax4.legend(labels4, bbox_to_anchor=(1.25, 0.65))

plt.show()

fig.savefig('/Users/ite1/Desktop/test.png', bbox_inches="tight")

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