Forum Discussion
Python padding
- 7 years ago
OK,
Solved it with the size and aspect parameters.
Barak
barakb32 ,
The padding size should be decided by the python code you are using. Could you share some part of the python code for further analysis?
Community Support Team _ Jimmy Tao
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- barakb327 years agoAdvocate I
This is the code as it appears in Power BI:
import matplotlib.pyplot as plt import pandas as pd import seaborn as sns sns.set_palette("pastel") #print (sns.get_dataset_names()) df = pd.DataFrame(dict(x=dataset['Probability01'], y=dataset['Impact110'])) #plt.scatter(x=dataset['Probability01'],y=dataset['Impact110'],s=dataset['Booking']/10000) lm=sns.lmplot(x='Probability01',y='Impact110',data=dataset,hue='Proj_Type',scatter_kws={'s': dataset['Booking']/10000}) #axes=lm.axes #axes[0,0].set_ylim(-1,) #axes[0,1].set_xlim(0,) plt.xlim(-0.1,1.1) plt.ylim(-1,11) for i, txt in enumerate(dataset["Project Name"]): plt.annotate(txt, (df.x.iat[i],df.y.iat[i]),fontsize=15) plt.show()and this is how it appears in spyder:
# Prolog - Auto Generated # import os, matplotlib.pyplot, uuid, pandas os.chdir(u'C:/Users/barakb/PythonEditorWrapper_2dac1e75-9317-429d-ac0d-8f5d9b7f0e89') dataset = pandas.read_csv('input_df_55fe400c-1be7-4c16-b559-82ca736d13b9.csv') matplotlib.pyplot.figure(figsize=(10,10)) matplotlib.pyplot.show = lambda args=None,kw=None: matplotlib.pyplot.savefig(str(uuid.uuid1())) # Original Script. Please update your script content here and once completed copy below section back to the original editing window # import matplotlib.pyplot as plt import pandas as pd import seaborn as sns sns.set_palette("pastel") #print (sns.get_dataset_names()) df = pd.DataFrame(dict(x=dataset['Probability01'], y=dataset['Impact110'])) #plt.scatter(x=dataset['Probability01'],y=dataset['Impact110'],s=dataset['Booking']/10000) lm=sns.lmplot(x='Probability01',y='Impact110',data=dataset,hue='Type',scatter_kws={'s': dataset['Booking']/10000}) #axes=lm.axes #axes[0,0].set_ylim(-1,) #axes[0,1].set_xlim(0,) plt.xlim(-0.1,1.1) plt.ylim(-1,11) for i, txt in enumerate(dataset["Project Name"]): plt.annotate(txt, (df.x.iat[i],df.y.iat[i]),fontsize=15) plt.show() # Epilog - Auto Generated # os.chdir(u'C:/Users/barakb/PythonEditorWrapper_2dac1e75-9317-429d-ac0d-8f5d9b7f0e89')BTW1: I don't think that's a Python padding, since I changed the visual background to transparent and put a rectangle behind it.
While the plot area hides the rectangle, the padding/whitespace doesn't hide it.
BTW2: There is not much padding when the visual is small. The padding comes intoplace when I enlarge the visual to fill the screen.
Barak
- barakb327 years agoAdvocate I
OK,
Solved it with the size and aspect parameters.
Barak