How to Change the Size of Figures Drawn With Matplotlib

Change figure size and figure format in matplotlib

You can set the figure size if you explicitly create the figure with

plt.figure(figsize=(3,4))

You need to set figure size before calling plt.plot()
To change the format of the saved figure just change the extension in the file name. However, I don't know if any of matplotlib backends support tiff

Matplotlib change Figure size

with below code, I save the plot with figsize that set before. in your code first set figsize then plot.
in your code try this:

figure(figsize = (20, 6), dpi = 80)
with plot.style.context('ggplot'):
    for row in Data:
        plot.plot(range(len(row)), row)
    x_axis = ['01-2019', '02-2019', '03-2019', '04-2019', '05-2019', '06-2019', '07-2019', '08- 2019', '09-2019', '10-2019', '11-2019', '12-2019', '01-2020', '02-2020', '03-2020', '04-2020', '05-2020', '06-2020', '07-2020', '08-2020', '09-2020', '10-2020', '11-2020', '12-2020', '01- 2021', '02-2021', '03-2021', '04-2021', '05-2021', '06-2021']
    plot.xticks(nump.arange(30), x_axis, rotation = '50')
    plot.savefig('globalTrafficDuringRoni.png', dpi = 1000)

see this example:

import matplotlib.pyplot as plt
from matplotlib.pyplot import figure

D = {'a':0.1, 'b': 0.2, 'c':0.5, 'd':0.3, 'e':0.4, 'f':0.6, 'g':0.4}

figure(figsize = (10, 6), dpi = 80)

plt.bar(range(len(D)), list(D.values()), align='center')
plt.xticks(range(len(D)), list(D.keys()))
plt.savefig('globalTrafficDuringRoni.png', dpi = 1000)

plt.show()

output:

Change Figure Size in Matplotlib

Use fig.set_size_inches before plt.show():

width = 8
height = 6
fig.set_size_inches(width, height)

figsize in matplotlib is not changing the figure size?

One option (as mentioned by @tda), and probably the best/most standard way, is to put the plt.figure before the plt.bar:

import matplotlib.pyplot as plt

plt.figure(figsize=(20,10)) 
plt.bar(x['user'], x['number'], color="blue")

Another option, if you want to set the figure size after creating the figure, is to use fig.set_size_inches (note I used plt.gcf here to get the current figure):

import matplotlib.pyplot as plt

plt.bar(x['user'], x['number'], color="blue")
plt.gcf().set_size_inches(20, 10)

It is possible to do this all in one line, although its not the cleanest code. First you need to create the figure, then get the current axis (fig.gca), and plot the barplot on there:

import matplotlib.pyplot as plt

plt.figure(figsize=(20, 10)).gca().bar(x['user'], x['number'], color="blue")

Finally, I will note that it is often better to use the matplotlib object-oriented approach, where you save a reference to the current Figure and Axes and call all plotting functions on them directly. It may add more lines of code, but it is usually clearer code (and you can avoid using things like gcf() and gca()). For example:

import matplotlib.pyplot as plt

fig = plt.figure(figsize=(20, 10))
ax = fig.add_subplot(111)
ax.bar(x['user'], x['number'], color="blue")

Change Figure size

Try the following:

1. Create the figure of desired size
2. Pass the created axis to the df.plot() command

---

fig, ax = plt.subplots(figsize=(20, 8)) # <---- Create the figure of desired size

df.index = df.Date
df.drop(["Date"],  axis=1, inplace=True)
df.plot(kind="bar", stacked=True, ax=ax) # <---- Pass the created axis to plot

Resize a figure automatically in matplotlib

Use bbox_inches='tight'

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm

X = 10*np.random.rand(5,3)

fig = plt.figure(figsize=(15,5),facecolor='w') 
ax = fig.add_subplot(111)
ax.imshow(X, cmap=cm.jet)

plt.savefig("image.png",bbox_inches='tight',dpi=100)

...only works when saving images though, not showing them.

---

Related Topics