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How matplotlib show obvious changes?


How matplotlib show obvious changes?

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How matplotlib show obvious changes?
Tag : python , By : FuzzyHornet
Date : November 28 2020, 09:01 AM

I hope this helps . I want to draw a pictrue with matplotlib. The y value is large,but the change of y is too small.For example,y = 1270000,but just has a change change range [-10,10].How could i show obvious changes of y?The pictrue could not show changes. enter image description here , I would go for something like this:
import numpy as np
import matplotlib.pylab as pl

x = np.arange(100)
y = np.random.randint(1270000-10, 1270000+10, x.size)

pl.figure()
pl.subplot(121)
pl.plot(x,y)
pl.ylim(y.min()-1, y.max()+1)

pl.subplot(122)
pl.plot(x,y)
pl.ylim(y.min()-1, y.max()+1)
ax=pl.gca()
ax.get_yaxis().get_major_formatter().set_useOffset(False)

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Matplotlib doesn't show plots on Mac; plt.show() hangs on 'MacOSX' backend


Tag : python , By : PsyberMonkey
Date : March 29 2020, 07:55 AM
will be helpful for those in need The answer, as pointed out by @ImportanceOfBeingErnest is that the backend configuration for me wasn't working. I'm not sure if I need to install some additional libraries or not. I decided not to use the MacOSX backend and used the Qt5Agg backend. This worked just fine and I didn't have to install any new libraries.

Why does matplotlib imshow() and show() functions show images in a different color scheme depending on whether they're r


Tag : python , By : Franky
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , I think the imshow documentation is pretty clear on that:

matplotlib:line chart to show all products price on each date with matplotlib or seaborn


Tag : python , By : Ravenal
Date : March 29 2020, 07:55 AM
Hope this helps how to use line chart to show all products price on each date in one chart? , Assuming your dataframe:
import pandas as pd

df = pd.DataFrame({'product':['pen','apple','book','cup','pen','apple','book','cup','pen','apple','book','cup',],
                   'price':[1,2,3,4,0.8,2.2,3.1,3.5,.6,2.6,2.1,4.3],
                   'date':['20190101','20190101','20190101','20190101','20190102','20190102','20190102','20190102','20190103','20190103','20190103','20190103']})
import matplotlib.pyplot as plt

for i in df.groupby('product'):
    plt.plot(i[1].date,i[1].price,'-o',label=i[0])

plt.legend(loc='upper center',
           bbox_to_anchor=(0.5, -0.2),
           fancybox=True,
           shadow=True,
           ncol=4)
plt.xlabel('date')
plt.ylabel('price')
plt.show()

Why doesn't java compiler show a warning for an obvious dividing by zero?


Tag : java , By : jaredsmiller
Date : March 29 2020, 07:55 AM

Error with matplotlib.show() : module 'matplotlib' has no attribute 'show'


Tag : python , By : Genipro
Date : March 29 2020, 07:55 AM
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