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
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
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