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clustered seaborn pairgrid
I have tried modifying the height argument and even reduicng rthe sample size
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Having a df of data, doing:
fig=px.line(df, x='date', y='px', color='description')
The following graph is rendered like the image attached. Is this an expected behavior? How do I make dots connect only in a time-ordered fashion?
Yes, this is observed in plotly plots.
The data is required to be sorted before the plotting.
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this is my code with the output:
plt.figure(figsize = (7,4))
df1.groupby(["Area"])["Crop_Value(hg/ha)"].sum().sort_values(ascending = False).nlargest(5).plot(kind = "bar")
plt.title("Top 5 Countries with most crop production")
plt.show()
I am trying to visualize the top 5 countries with most crop production. The values in Y-axis are not useful like the way they are.
How do I change it to actual Crop Production Values? OR
How can I display the values on top of each bar?
Thanks
You need to use a different formatter than the standard ScalarFormatter, e.g. a FormatStrFormatter:
import matplotlib.pyplot as plt
plt.subplots()
plt.bar(['India', 'Brazil'], [3e8,2e8])
plt.gca().yaxis.set_major_formatter(plt.matplotlib.ticker.FormatStrFormatter('%.1e'))
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Given this dictionary:
my_dict={'animal':['Dog','Cat'],'age':[4,5],'bark':[True,False],'badge_num':['234','896']}
what code will cast 'age' to float?
you could use map combined with float like the following:
my_dict['age']=list(map(float, my_dict['age']))
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plt.figure(figsize=(12,8))
bitcion.loc['2019','Close'].plot()
bitcion.loc['2019'],['Close'].resample('M').std().plot(label='moyenne par mois',lw=3,ls=':', alpha=0.8)
bitcion.loc['2019'],['Close'].resample('W').std().plot(label='moyenne par semaine',lw=2,ls='--',
alpha=0.8)
plt.legend()
plt.show()
output
I'm not sure this is what causes the error because you don't show how you imported your modules:
make sure you import the pyplot function like this:
import matplotlib.pyplot as plt
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I need to create a code that will take 24 scale values and save them in a txt. file, i then want to be able to recall these values and put them back into the 24 scales. can someone point me in the right direction.
Thanks
First read this :
http://docs.python.org/2/library/stdtypes.html#bltin-file-objects
then write some code and come back with concrete questions if necessary.