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Changing the size of only a single plot in matplotlib, without altering figure parameters


Changing the size of only a single plot in matplotlib, without altering figure parameters

By : user3042888
Date : November 29 2020, 12:01 PM
wish helps you You need to move plt.figure(figsize=(20,10)) in front of the for loop so that only 1 figure is created.
code :
plt.figure(figsize=(20,10))

for each in list_of_cols:
    x = vary_k_df_rmse['k_value']
    y = vary_k_df_rmse[each]

    plt.plot(x,y)

    plt.xlabel('k Value')
    plt.ylabel('rmse')
    plt.legend()


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R: increase figure region to accommodate margins without altering plot size

R: increase figure region to accommodate margins without altering plot size


By : Reshad Baboury
Date : March 29 2020, 07:55 AM
I hope this helps you . this error depends on the device you're using, I see it all the time with Rstudio because the plot panel is quite small on my laptop screen, and R thinks there's not enough space to display the graphic. One option is to open a bigger device window explicitly, e.g.
code :
dev.new(width=10, height=10)
how to change figure canvas size in matplotlib without altering plots?

how to change figure canvas size in matplotlib without altering plots?


By : nihsooy
Date : March 29 2020, 07:55 AM
With these it helps i would like to annotate panels of figures i am making with panel labels ("A", "B", ...") in matplotlib. for example i'd like to annotate a set of subplots with a large "A" in the upper left hand corner of the figure as in code below. how can i change the figure canvas to make this "A" visible? , Add plt.subplots_adjust():
code :
f = plt.figure(figsize=(5,5))
plt.subplot(2, 2, 1)
# this "A" is clipped in the plot
plt.annotate("A",
             xy = (-0.25, 1.1),
             xytext = (-0.25, 1.1),
             xycoords = 'axes fraction',
             textcoords = 'axes fraction',
             fontsize=30)
plt.subplot(2, 2, 2)
plt.subplot(2, 2, 3)
plt.subplot(2, 2, 4)
plt.tight_layout()
plt.subplots_adjust(top=0.9)
plt.show()
Changing size of MatPlotLib figure with PS backend

Changing size of MatPlotLib figure with PS backend


By : jsyeom
Date : March 29 2020, 07:55 AM
wish help you to fix your issue If you create the figure with plt.figure first, you can give the figsize-kwarg. An example:
code :
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(10, 1))  # figsize in inches
fig.show() # if running in ipython
# plt.show() # if running as a script with "python script_name.py"
fig.savefig(..., dpi=300)
How to separately plot the figures in one big single figure using matplotlib?

How to separately plot the figures in one big single figure using matplotlib?


By : Jessemine
Date : March 29 2020, 07:55 AM
I hope this helps . You could always take a look at using subplot(), which would work as follows:
code :
import matplotlib.pyplot as plt

for n in range(1, 11):
    plt.subplot(2, 5, n)
    plt.plot(range(12))

plt.show()
figsize in matplotlib is not changing the figure size?

figsize in matplotlib is not changing the figure size?


By : Eduardo Meneses
Date : March 29 2020, 07:55 AM
With these it helps One option (as mentioned by @tda), and probably the best/most standard way, is to put the plt.figure before the plt.bar:
code :
import matplotlib.pyplot as plt

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

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

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

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